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18 pages, 7963 KiB  
Article
Theoretical and Experimental Study of an Electrokinetic Micromanipulator for Biological Applications
by Reza Hadjiaghaie Vafaie, Ali Fardi-Ilkhchy, Sobhan Sheykhivand and Sebelan Danishvar
Biomimetics 2025, 10(1), 56; https://doi.org/10.3390/biomimetics10010056 (registering DOI) - 15 Jan 2025
Viewed by 115
Abstract
The ability to control and manipulate biological fluids within microchannels is a fundamental challenge in biological diagnosis and pharmaceutical analyses, particularly when buffers with very high ionic strength are used. In this study, we investigate the numerical and experimental study of fluidic biochips [...] Read more.
The ability to control and manipulate biological fluids within microchannels is a fundamental challenge in biological diagnosis and pharmaceutical analyses, particularly when buffers with very high ionic strength are used. In this study, we investigate the numerical and experimental study of fluidic biochips driven by ac electrothermal flow for controlling and manipulating biological samples inside a microchannel, e.g., for fluid-driven and manipulation purposes such as concentrating and mixing. By appropriately switching the voltage on the electrode structures and inducing AC electrothermal forces within the channel, a fluidic network with pumping and manipulation capabilities can be achieved, enabling the control of fluid velocity/direction and also fluid rotation. By using finite element analysis, coupled physics of electrical, thermal, fluidic fields, and molecular diffusion transport were solved. AC electrothermal flow was studied for pumping and mixing applications, and the optimal model was extracted. The microfluidic chip was fabricated using two processes: electrode structure development on the chip and silicon mold fabrication in a cleanroom. PDMS was prepared as the microchannel material and bonded to the electrode structure. After implementing the chip holder and excitation circuit, a biological buffer with varying ionic strengths (0.2, 0.4, and 0.6 [S/m]) was prepared, mixed with fluorescent particles, and loaded into the microfluidic chip. Experimental results demonstrated the efficiency of the proposed chip for biological applications, showing that stronger flows were generated with increasing fluid conductivity and excitation voltage. The system behavior was characterized using an impedance analyzer. Frequency response analysis revealed that for a solution with an electrical conductivity of 0.6 [S/m], the fluid velocity remained almost constant within a frequency range of 100 kHz to 10 MHz. Overall, the experimental results showed good agreement with the simulation outcomes. Full article
(This article belongs to the Special Issue Bio-Inspired Nanochannels)
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Figure 1
<p>AC electric field and fluid interaction at different frequencies. (<b>A</b>) Applied electric field frequency is comparable with the fluid frequency. (<b>B</b>) Applied electric field frequency is much higher than the fluid frequency.</p>
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<p>Schematic view of our electrode’s layout and pads for electrical connections for different manipulation modes.</p>
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<p>Simulation results for ACET flow. (<b>a</b>) Surface plot indicates electric potential [V], and the arrow and streamlines indicate electric field [V/m]. (<b>b</b>) Surface plot illustrates temperature [K], and the arrow and streamlines illustrate temperature gradient [K/m]. (<b>c</b>) Surface plot, arrow and streamlines depict fluid velocity field [m/s].</p>
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<p>Simulation results for four units of electrodes and resulting in the generated AC electrothermal flow.</p>
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<p>The species concentration distribution inside the microchannel for different times: (<b>a</b>) 10 μm height; (<b>b</b>) 40 μm height.</p>
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<p>Particle trajectories and the resulting stretching and folding effects.</p>
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<p>Mixing efficiency and generated temperature rise for different electric conductivities.</p>
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<p>Fabrication process flow for electrode structures, silicon mold, and PDMS microchannel.</p>
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<p>Electrode structures: (<b>a</b>) electrode structure’s wafer with different patterns for manipulation purposes (before wafer cutting); (<b>b</b>) a layout for one of the electrode chips along with the connection pads.</p>
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<p>Experimental setup for micromanipulator test.</p>
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<p>Particles motion results due to generated ACET force: (<b>a</b>) 0.2 S/m, +/−3 V<sub>rms</sub>, and 300 kHz; (<b>b</b>) 0.6 S/m, +/−3 V<sub>rms</sub>, and 300 kHz.</p>
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<p>Experimental results for fluid velocity: (<b>a</b>) electric potential and σ effect; (<b>b</b>) frequency effect (from 100 kHz to 140 MHz).</p>
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<p>AC electrothermally driven rotational flow: (<b>a</b>) finite element analysis results; (<b>b</b>) experimental results.</p>
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21 pages, 3279 KiB  
Article
Evaluation of 3D-Printed Microfluidic Structures for Use in AML-Specific Biomarker Detection of PML::RARA
by Benedikt Emde, Karsten Niehaus and Lara Tickenbrock
Int. J. Mol. Sci. 2025, 26(2), 497; https://doi.org/10.3390/ijms26020497 - 9 Jan 2025
Viewed by 303
Abstract
An obstacle for many microfluidic developments is the fabrication of its structures, which is often complex, time-consuming, and expensive. Additive manufacturing can help to reduce these barriers. This study investigated whether the results of a microfluidic assay for the detection of the promyelocytic [...] Read more.
An obstacle for many microfluidic developments is the fabrication of its structures, which is often complex, time-consuming, and expensive. Additive manufacturing can help to reduce these barriers. This study investigated whether the results of a microfluidic assay for the detection of the promyelocytic leukemia (PML)-retinoic acid receptor α (RARα) fusion protein (PML::RARA), and thus for the differential diagnosis of acute promyelocytic leukemia (APL), could be transferred from borosilicate glass microfluidic structures to additively manufactured fluidics. Digital light processing (DLP) and stereolithography (SLA) printers as well as different photopolymerizable methacrylate-based resins were tested for fabrication of the fluidics. To assess suitability, both print resolution and various physical properties, serializability, biocompatibility, and functionalization with biological molecules were analyzed. The results show that additively manufactured microfluidics are suitable for application in leukemia diagnostics. This was demonstrated by transferring the microfluidic sandwich enzyme-linked immunosorbent assay (ELISA) for PML::RARA onto the surface of magnetic microparticles from a glass structure to three-dimensional (3D)-printed parts. A comparison with conventional glass microstructures suggests lower sensitivity but highlights the potential of additive manufacturing for prototyping microfluidics. This may contribute to the wider use of microfluidics in biotechnological or medical applications. Full article
(This article belongs to the Special Issue Acute Leukemia: From Basic Research to Clinical Application)
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Graphical abstract

Graphical abstract
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<p>Comparison of conventional and additive manufacturing of microfluidics. Photolithography and soft lithography were selected as examples of conventional manufacturing; these are two commonly used processes. These processes are very time-consuming, consist of several non-automated steps, and require skilled staff and special infrastructure. The resolution and accuracy are highest with photolithography and decrease with 3D printing. Despite their lower resolution and accuracy, additive manufacturing methods have advantages in terms of production time and are much more flexible when structural changes are necessary. The number of manual process steps decreases from photolithography to soft lithography to additive manufacturing. The manufacturing process is automated and can be quickly adapted by anyone. Our own representation is based on [<a href="#B39-ijms-26-00497" class="html-bibr">39</a>].</p>
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<p>Evaluation of additive manufacturing for the production of microfluidics for diagnosis of acute promyelocytic leukemia by detection of PML::RARA. The process for the evaluation of 3D-printed microfluidics is divided into 6 steps. Specific work packages of the individual steps are described below. The arrows symbolize the progression of the process but also illustrate that each step can be adapted with the results of the following work packages. The first step is the structural design and production of the fluidics. A suitable 3D printing process, 3D printer, and materials must also be selected. Then, in step 2, the printing parameters and post-processing steps are defined and the printer resolution is evaluated. In step 3, the surface of 3D prints is characterized, sterilized, and tested for cell and biocompatibility. This is followed by the development of biomarker detection for PML::RARA. Samples are prepared and the detection assay is implemented and validated. In the fifth step, the biomarker detection is integrated into the 3D-printed microfluidic chip. Particular attention must be paid to the compatibility of the detection methodology. Step 6 concludes with an assessment of suitable 3D printers for manufacturing microfluidic chips by comparing the results from previous work [<a href="#B25-ijms-26-00497" class="html-bibr">25</a>].</p>
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<p>Comparison of X, Y, and Z resolutions, as well as the minimum achievable diameter, between Form3b (SLA printer) and MiiCraft Prime 110y (DLP printer). The results display the respective CAD model of the test object, microscopic images with 30-fold magnification of the printed structures, and measurements of the minimum widths and heights of walls. (<b>a</b>) Shows the results of comparing DLP and SLA printers in terms of X resolution, while (<b>b</b>) shows the Y resolution and (<b>c</b>) the Z resolution. Additionally, the minimum achievable diameter of channels with target diameters ranging from 100 to 1000 µm is presented (<b>d</b>). Three 3D prints were evaluated 3× microscopically (mean values).</p>
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<p>Comparison of the minimum printable channel diameters with the MiiCraft Prime 110y for the resins Clear V4, BV007a, and Tech Clear (<b>a)</b>. The results indicate that the smallest diameters can be achieved with BV007a at approximately 260 µm, followed by Tech Clear at around 295 µm, and Clear V4 at approximately 440 µm. (<b>b</b>) shows the results of the evaluation of the maximum channel length depending on the used diameter. With the BV007a resin, 40 mm long channels with a minimum target diameter of 275 µm can be produced, while Clear V4 and Moiin Tech Clear enable maximum 10 mm long channels with a diameter of 325 µm.</p>
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<p>Physical and optical properties of Resin BV007a (<b>a</b>) Shows the contact angles of the BV007a resin before and after sterilization using an autoclave, UV light, hydrogen peroxide, 70% ethanol, and oxygen plasma. Untreated BV007a served as a control. The average contact angle of untreated BV007a is approx. 77°. A significant change in the contact angle only occurs when treated with oxygen plasma to a contact angle of approx. 40°. The surface becomes more hydrophilic. Contact angle measurements were carried out on three workpieces each, and the mean value was calculated. The water absorption (<b>b</b>) was determined for BV007a for 24 h and 1 week at room temperature and 37 °C. The maximum water absorption is 4 mg, which is a maximum of 2%. The optical absorbance of BV007a (<b>c</b>) was determined as a function of the layer thickness (40–800 µm) for the wavelengths 300–500 nm by means of an absorption scan. Polystyrene was used as a control. The optical density is plotted against the wavelength and decreases with lower film thickness. The optical density reaches its highest value between 385 and 405 nm, depending on the layer thickness between 1 and 1.4 OD. The autofluorescence of BV007a (<b>d</b>) was determined as an example for excitation and detection wavelengths of dyes DAPI, FITC, Resorufin, and Cy5 and is at a maximum of ~45 RFU for DAPI (358/463 nm). BV007a shows no autofluorescence for the tested wavelengths. The contact angle, water absorption and autofluorescence were measured on three independent samples in triplicates. The error bars show the standard deviation of the measurements.</p>
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<p>Evaluation of the sterilizability and biocompatibility of 3D prints using BV007a. Sterilization methods used are autoclaving, UV light, chemical hydrogen peroxide, and ethanol as well as oxygen plasma (<b>a</b>). The sterilized samples were placed on LB agar dishes, drained, and swabbed with an inoculation loop. The LB agar dishes were subsequently incubated for 72 h at 37 °C. The results show that all methods except oxygen plasma are suitable for the sterilization of BV007a (<b>b</b>). No colonies grew from the dishes. Optical inspection of the component showed that sterilization did not cause any damage (<b>b</b>). The bio- and cell compatibility of the material BV007a was evaluated using the alamarBlue™ HS assay. For this purpose, discs were printed, sterilized, and placed in a 96-well plate. Subsequently, 1 × 10<sup>5</sup> NB-4 cells in 100 µL were added to each well and incubated for 0, 4, 24, and 72 h in an incubator. After the incubation time, 10% alamarBlue™ HS reagent was added and incubated again at 37 °C for 2 h. The fluorescence intensity was determined at 590 nm. The results show that BV007a has no acute cell toxicity (<b>c</b>). The values of four-hour incubation are consistently higher than after direct viability measurement. Over 24 h, the intensity values for the autoclave and ethanol sterilization methods continue to increase slightly, while UV light is significantly lower. After 72 h, hardly any living cells could be detected during sterilization using UV light and autoclave, while a cell viability of over 100% could be measured with sterilization with ethanol and the control (<b>d</b>).</p>
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<p>Magnetic bead-based sandwich ELISA for PML::RARA in a 3D-printed microfluidic chip. The figure schematically shows the detection of the fusion protein and the additively manufactured microfluidic chip made of BV007a (<b>a</b>). The results show the fluorescence intensities of the sandwich ELISA on magnetic particles in the 3D-printed microfluidic chip made of BV007a. Lysates of the cell cultures NB-4, HL-60, MV4-11, and Jurkat with a total protein concentration of 100 µg/mL were used for the analysis. PBS served as a protein-free control. From each cell line, three different cell lysates, labelled in the figure with the numbers 1, 2 and 3 in rectangular brackets, were measured in triplicate (<b>b</b>). The bars represent the standard deviations of the triplicate measurements, which are highest for NB-4 with a mean of ~227 RFU. HL-60 shows a mean value of ~6.5 RFU, MV4-11 of ~19 RFU, Jurkat with 12.4, and PBS with 5.8 RFU.</p>
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<p>Comparison between glass and 3D-printed microfluidic chips for the detection of PML::RARA. The figure shows the comparison between the results of the detection of PML::RARA in a glass and 3D-printed microfluidic chip (BV007a). (<b>a</b>) shows RFU values for NB-4, HL-60 MV4-11 and PBS for glass and 3D-printed microfluidics. (<b>b</b>) shows calculated ratio between positive control (NB-4) and negative controls HL-60, MV4-11 and PBS. The error bars show the standard deviation of three independent measurements in triplicates. The ratio indicates the factor of the RFU values between the positive control and the different negative controls. Data for the detection of glass microfluidic chips are taken from Emde et al. [<a href="#B25-ijms-26-00497" class="html-bibr">25</a>].</p>
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59 pages, 26014 KiB  
Review
A Lifetime of Catalytic Micro-/Nanomotors
by Tao He, Yonghui Yang and Xuebo Chen
Nanomaterials 2025, 15(1), 13; https://doi.org/10.3390/nano15010013 - 26 Dec 2024
Viewed by 419
Abstract
Microscopic and nanoscopic motors, often referred to as micro-/nanomotors, are autonomous devices capable of converting chemical energy from their surroundings into mechanical motion or forces necessary for propulsion. These devices draw inspiration from natural biomolecular motor proteins, and in recent years, synthetic micro-/nanomotors [...] Read more.
Microscopic and nanoscopic motors, often referred to as micro-/nanomotors, are autonomous devices capable of converting chemical energy from their surroundings into mechanical motion or forces necessary for propulsion. These devices draw inspiration from natural biomolecular motor proteins, and in recent years, synthetic micro-/nanomotors have attracted significant attention. Among these, catalytic micro-/nanomotors have emerged as a prominent area of research. Despite considerable progress in their design and functionality, several obstacles remain, especially regarding the development of biocompatible materials and fuels, the integration of intelligent control systems, and the translation of these motors into practical applications. Thus, a comprehensive understanding of the current advancements in catalytic micro-/nanomotors is critical. This review aims to provide an in-depth overview of their fabrication techniques, propulsion mechanisms, key influencing factors, control methodologies, and potential applications. Furthermore, we examine their physical and hydrodynamic properties in fluidic environments to optimize propulsion efficiency. Lastly, we evaluate their biosafety and biocompatibility to facilitate their use in biological systems. The review also addresses key challenges and proposes potential solutions to advance their practical deployment. Full article
(This article belongs to the Section Environmental Nanoscience and Nanotechnology)
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Figure 1

Figure 1
<p>A diagrammatic overview illustrating the fabrication process, propulsion mechanism, control strategies, and potential applications of catalytic MNMs.</p>
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<p>Examples of MNMs grown by template-assisted electrochemical deposition. (<b>A</b>,<b>B</b>) Schematic representations of the self-electrophoresis mechanism of Ag-Au/Pt and Au/Pt-CNT nanowire MNMs in H<sub>2</sub>O<sub>2</sub>, respectively. Reproduced from Refs. [<a href="#B36-nanomaterials-15-00013" class="html-bibr">36</a>,<a href="#B37-nanomaterials-15-00013" class="html-bibr">37</a>]. Copyright 2008, Wiley-VCH and 2008, the American Chemical Society, respectively. (<b>C</b>) Preparation procedure of flexible metallic nanowires with polyelectrolyte hinges after membrane template electrodeposition. (5) removal of nail polish, (6) dissolution of the membrane, (7) deposition of mercaptoethanesulphonic acid, (8) layer-by-layer deposition of poly(sodium-4-styrenesulphonate) (PSS) and poly(diallyldimethyl ammonium chloride)(PDMAC), (9) removal of Ag by nitric acid, and (10) etching of the Au segment using KI/I<sub>2</sub> solution. Reproduced from Ref. [<a href="#B39-nanomaterials-15-00013" class="html-bibr">39</a>]. Copyright, 2007 Nature Publishing Group. (<b>D</b>) SEM image of Au/Ag/Ni MNMs with flexible central silver segment. Reproduced from Ref. [<a href="#B41-nanomaterials-15-00013" class="html-bibr">41</a>]. Copyright, 2010 the American Chemical Society. (<b>E</b>) Polycarbonate membrane-assisted preparation of conical PANI/Pt microtubes. (a) deposition of the polyaniline (PANI) microtube, (b) deposition of the Pt microtube, and (c) dissolution of the membrane and release of the bilayer microtubes. Reproduced from Ref. [<a href="#B38-nanomaterials-15-00013" class="html-bibr">38</a>]. Copyright 2011, American Chemical Society. (<b>F</b>) Anodized aluminum oxide (AAO) membrane-assisted preparation of segmented microtubes. Reproduced from Ref. [<a href="#B40-nanomaterials-15-00013" class="html-bibr">40</a>]. Copyright 2013, Royal Society of Chemistry.</p>
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<p>MNMs prepared by physical vapor deposition. (<b>A</b>,<b>B</b>) Preparation of MNMs by conventional physical vapor deposition. (<b>A</b>) Schematic of fabrication of bimetallic Janus micromotors by conventional physical vapor deposition. Reproduced from Ref. [<a href="#B45-nanomaterials-15-00013" class="html-bibr">45</a>]. Copyright 2010, the American Chemical Society. (<b>B</b>) Formation of sphere dimers via thermal annealing. Reproduced from Ref. [<a href="#B46-nanomaterials-15-00013" class="html-bibr">46</a>]. Copyright 2009, Wiley-VCH. (<b>C</b>–<b>E</b>) Preparation of MNMs by glancing angle deposition. (<b>C</b>) Preparation of asymmetric Pt/Au-coated catalytic micromotors by GLAD. Reproduced from Ref. [<a href="#B47-nanomaterials-15-00013" class="html-bibr">47</a>]. Copyright 2010, the American Institute of Physics. (<b>D</b>) Fabrication procedure of L-shaped Si/Pt nanorod motors by GLAD. Reproduced from Ref. [<a href="#B49-nanomaterials-15-00013" class="html-bibr">49</a>]. Copyright 2007, the American Chemical Society. (<b>E</b>) Synthesis of catalytic micromotor consisting of a spherical silica colloid with a TiO<sub>2</sub> arm coated asymmetrically with Pt. Reproduced from Ref. [<a href="#B50-nanomaterials-15-00013" class="html-bibr">50</a>]. Copyright 2009, Wiley-VCH.</p>
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<p>MNMs prepared by rolled-up technology. (<b>A</b>) Rolling-up of nanomembranes patterned with photoresist: (<b>a</b>,<b>b</b>) schematic illustration of a rolled-up microtube comprising Pt/Au/Fe/Ti multilayers on a sacrificial photoresist layer and an array of rolled-up microtubes, respectively; (<b>c</b>) SEM image of a rolled-up microtube. Reproduced from Refs. [<a href="#B52-nanomaterials-15-00013" class="html-bibr">52</a>,<a href="#B53-nanomaterials-15-00013" class="html-bibr">53</a>]. Copyright 2009, Wiley-VCH and 2010, Wiley-VCH, respectively. (<b>B</b>) Rolled-up microtubes with GO as an external layer. Reproduced from Ref. [<a href="#B54-nanomaterials-15-00013" class="html-bibr">54</a>]. Copyright 2012, the American Chemical Society. (<b>C</b>) Reversible rolling and unrolling of thermo-responsive polymeric Pt microtubes. (<b>a</b>) shows the 3 layers of poly(NIPAM-BA), PCL (polycaprolactone), and Pt. (<b>b</b>) Representation reversible rolling–unrolling of polymer-Pt films. Reproduced from Ref. [<a href="#B55-nanomaterials-15-00013" class="html-bibr">55</a>]. Copyright 2014, Wiley-VCH. (<b>D</b>) Particle-aided rolling process of nanomembrane upon a thermal dewetting treatment. Reproduced from Ref. [<a href="#B56-nanomaterials-15-00013" class="html-bibr">56</a>]. Copyright 2013, Wiley-VCH.</p>
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<p>Fabrication of MNMs by assembly of materials. (<b>A</b>) Synthesis process of Pt-NP-functionalized Janus capsule motors. Reproduced from Ref. [<a href="#B61-nanomaterials-15-00013" class="html-bibr">61</a>]. Copyright 2012, the American Chemical Society. (<b>B</b>) Selective and controlled encapsulation of Pt NPs inside artificial stomatocytes during shape transformation. Reproduced from Ref. [<a href="#B62-nanomaterials-15-00013" class="html-bibr">62</a>]. Copyright 2012, Macmillan Publishers Limited.</p>
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<p>A schematic representation illustrates the dielectrophoresis mechanism responsible for the propulsion of Au/Pt MNMs in the presence of H<sub>2</sub>O<sub>2</sub>. This mechanism involves an internal electron flow from one end of the MNMs to the other, accompanied by the migration of protons within the double layer surrounding the MNMs. The interaction between these two processes generates a propulsion force, enabling the autonomous motion of the MNMs.</p>
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<p>Schematic representation of MNMs moving under the diffusiophoresis propulsion mechanism. (<b>a</b>) Self-diffusiophoresis. (<b>b</b>) Ionic self-diffusiophoresis. (<b>c</b>) Non-ionic diffusiophoresis.</p>
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<p>Schematic diagram of MNMs propelled under the interfacial tension propulsion mechanism.</p>
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<p>Schematic representation of MNMs moving under the bubble propulsion mechanism. The inner surface is constructed from a Pt catalyst. During the H<sub>2</sub>O<sub>2</sub> decomposition, O<sub>2</sub> bubbles are generated and released from the wider end of the motor resulting in the propulsion of the motor away from the bubbles and the catalyst.</p>
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<p>Tunable Self-Thermophoretic MNMs.</p>
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<p>Reasons for the inefficiency of MNMs during Self-electrophoresis mechanism and bubble recoil mechanism. (<b>a</b>) In the self-electrophoresis propulsion mechanism, the four energy loss stages of MNMs during the conversion process. (<b>b</b>) In the bubble recoil propulsion mechanism, MNMs have two stages of energy loss during the conversion process.</p>
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<p>Motion Control for MNMs. (<b>A</b>,<b>B</b>) Controlling the motion of MNMs by using magnetic field. (<b>A</b>) Schematic diagram of an Au–Ni–Au metal alloy propelled by ultrasound and steered by the magnetic field. Reproduced from Ref. [<a href="#B116-nanomaterials-15-00013" class="html-bibr">116</a>]. Copyright 2013, the American Chemical Society. (<b>B</b>) Scheme representing the magnetic steering of Janus micromotors. Reproduced from Ref. [<a href="#B120-nanomaterials-15-00013" class="html-bibr">120</a>]. Copyright 2012, the American Chemical Society. (<b>C</b>,<b>D</b>) Controlling the motion of MNMs by using ultrasound. (<b>C</b>) Scheme representing controlling of acoustically propelled nanowire toward a HeLa cell. Reproduced from Ref. [<a href="#B126-nanomaterials-15-00013" class="html-bibr">126</a>]. Copyright 2013, the American Chemical Society. (<b>D</b>) Scheme representing ultrasound-modulated bubble propulsion of chemically powered microtubes. Reproduced from Ref. [<a href="#B127-nanomaterials-15-00013" class="html-bibr">127</a>]. Copyright 2014, the American Chemical Society. (<b>E</b>,<b>F</b>) Rotation of micro-/nanomotors by applying AC voltages to multiple electrodes: (<b>E</b>) schematic diagram of experimental setup of quadruple electrodes. (<b>F</b>) Images of one end fixed (<b>left</b>) and free (<b>right</b>) rotating Au nanowires. Reproduced from Ref. [<a href="#B130-nanomaterials-15-00013" class="html-bibr">130</a>]. Copyright 2005, The American Physical Society. (<b>G</b>,<b>H</b>) Controlling the motion of MNMs by using light. (<b>G</b>) Switching the propulsion of individual m-engines off (<b>a</b>) and on (<b>b</b>) using a white-light source. Reproduced from Ref. [<a href="#B132-nanomaterials-15-00013" class="html-bibr">132</a>]. Copyright 2011, Wiley-VCH. (<b>H</b>) Schematic cartoon for the surface plasmon resonance effect of Au/TiO<sub>2</sub> under visible light. Reproduced from Ref. [<a href="#B133-nanomaterials-15-00013" class="html-bibr">133</a>]. Copyright 2018, Wiley-VCH.</p>
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<p>Motion Control for MNMs. (<b>A</b>) MNMs’ propulsion controlled by temperature. (<b>a</b>) Motion of microjets in PBS solution. (<b>b</b>) Snapshots of microjets and bubble tails at 25 and 37 °C, respectively. Reproduced from Ref. [<a href="#B135-nanomaterials-15-00013" class="html-bibr">135</a>]. Copyright 2013, The Royal Society of Chemistry. (<b>B</b>) MNMs’ motion controlled by chemical gradient in microfluidic channel. (<b>a</b>) Spherical Janus MNMs deviating towards peroxide solution with catalytic sites (dark areas on the particles) facing different positions, (<b>b</b>) microtubes deviate slightly towards peroxide with small angles. Red arrows indicate the direction of the MNMs. Reproduced from Ref. [<a href="#B139-nanomaterials-15-00013" class="html-bibr">139</a>]. Copyright 2013, Wiley-VCH. (<b>C</b>) MNMs’ motion controlled by electrochemistry. Reproduced from Ref. [<a href="#B140-nanomaterials-15-00013" class="html-bibr">140</a>]. Copyright 2009, The Royal Society of Chemistry. (<b>D</b>) MNMs’ motion controlled by design. Reproduced from Ref. [<a href="#B142-nanomaterials-15-00013" class="html-bibr">142</a>]. Copyright 2009, American Chemical Society. (<b>E</b>) MNMs’ motion controlled by boundary condition. Reproduced from Ref. [<a href="#B145-nanomaterials-15-00013" class="html-bibr">145</a>]. Copyright 2014, The Royal Society of Chemistry.</p>
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<p>MNM Motion Simulation Analysis. (<b>A</b>–<b>C</b>) Motion modeling of MNMs. (<b>A</b>) The chemical reaction area at the catalytic end of the nanowire MNMs. (<b>B</b>) Schematic diagram of finite section division. C(1)–C(n) is the catalytic finite segment, n is the number of catalytic segments, N(1)–N(m) is the non-catalytic segment, m represents the number of non-catalytic segments, O represents the catalytic segment and non-catalytic segment junction point, Q represents the center of mass of the nanowire MNMs. (<b>C</b>) Force analysis of MNMs. (<b>a</b>): The force acting on the catalytic part; (<b>b</b>): The force acting on the non-catalytic part; (<b>c</b>): The force equivalent to the center of mass of the nanowire MNMs. Reproduced from Ref. [<a href="#B152-nanomaterials-15-00013" class="html-bibr">152</a>] Copyright 2022, Wiley-VCH. (<b>D</b>,<b>E</b>) Boundary conditions and basic computational principles for MNMs. (<b>D</b>) Two-dimensional axisymmetric double metal bar model boundary conditions. (<b>E</b>) Basic calculation principle of the model. Reproduced from Ref. [<a href="#B152-nanomaterials-15-00013" class="html-bibr">152</a>]. Copyright 2022, Wiley-VCH. (<b>F</b>,<b>G</b>) Motion analysis results for MNMs. (<b>F</b>) Flow field and electric field distribution around the MNMs. Reproduced from Ref. [<a href="#B157-nanomaterials-15-00013" class="html-bibr">157</a>]. Copyright 2013, American Chemical Society. (<b>G</b>) The relationship between the speed and length of a single MNM, and the force on the MNMs when two MNMs are opposite each other. Reproduced from Ref. [<a href="#B152-nanomaterials-15-00013" class="html-bibr">152</a>]. Copyright 2022, Wiley-VCH.</p>
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<p>Application of MNMs in the direction of biomedicine.</p>
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<p>Potential applications of MNMs. (<b>A</b>–<b>D</b>) Chemically driven MNMs for load transport. (<b>A</b>). Left: Cargo attachment to the nanorods by electrostatic interaction between the negative PPy end of Pt–Au–PPy MNMs and a positively charged PS–amidine microsphere; right: biotin–streptavidin binding between the Au tips of Pt–Au rods functionalized with a biotin-terminated disulfide and streptavidin-coated cargo. Reproduced from Ref. [<a href="#B158-nanomaterials-15-00013" class="html-bibr">158</a>]. Copyright 2008, American Chemical Society. (<b>B</b>) Manipulation of colloidal cargo in microfluidic channels using magnetic Pt/SiO<sub>2</sub> micromotors. Reproduced from Ref. [<a href="#B120-nanomaterials-15-00013" class="html-bibr">120</a>]. Copyright 2012, American Chemical Society. (<b>C</b>) Manipulation of neuronal CAD cells (cathecolaminergic cell line) by rolled-up Ti/Fe/Pt microtubes. (A) MNMs directed towards the CAD cell, its transport (B) and delivery in a desired location by a quick rotation of the magnet (C). Reproduced from Ref. [<a href="#B163-nanomaterials-15-00013" class="html-bibr">163</a>]. Copyright 2011, Royal Society of Chemistry. (<b>D</b>) Loading and transport of 5 µm PS cargo particles by the Ti/Fe/Pt MNMs in a microchannel. (A) Moving MNMs sorting a residual bubble into a 150 μm wide microchannel in a PDMS microchip. (B, C) Zoomed images of the MNMs loading (B) one and (C) two microparticles. (D, E) MNMs transporting (D) one and (E) two microparticles into the microchannels.Reproduced from Ref. [<a href="#B162-nanomaterials-15-00013" class="html-bibr">162</a>]. Copyright 2011, American Chemical Society. (<b>E</b>–<b>H</b>) Chemically driven MNMs for drug delivery. (<b>E</b>) Loading of doxorubicin (DOX) on the n-rGO/Pt micromachines. (a) The molecular structure of doxorubicin. The conjugated side is highlighted. (b) Schematic illustration of n-rGO/Pt micromachines loaded with DOX. Reproduced from Ref. [<a href="#B178-nanomaterials-15-00013" class="html-bibr">178</a>]. Copyright 2019, Wiley-VCH. (<b>F</b>) Schematic representation of the fabrication process for Mg–Au–Drug–Polymer MNMs. Reproduced from Ref. [<a href="#B183-nanomaterials-15-00013" class="html-bibr">183</a>]. Copyright 2022, Elsevier BV. (<b>G</b>) Chemotactic motion of hybrid neutrophil MNMs toward a gel containing E. coli in a microfluidic channel. Reproduced from Ref. [<a href="#B185-nanomaterials-15-00013" class="html-bibr">185</a>]. Copyright 2017, Wiley-VCH GmbH. (<b>H</b>) Internalization of Protein Cargo Carried by Au/Ag MNMs. Reproduced from Ref. [<a href="#B186-nanomaterials-15-00013" class="html-bibr">186</a>]. Copyright 2021, American Chemical Society.</p>
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<p>Potential applications of MNMs. (<b>A</b>–<b>D</b>) Chemically driven MNMs for disease diagnosis. (<b>A</b>) Self-sensing enzyme-powered MNMs equipped with pH-responsive DNA nanoswitches for disease diagnosis. Reproduced from Ref. [<a href="#B191-nanomaterials-15-00013" class="html-bibr">191</a>]. Copyright 2019, American Chemical Society. (<b>B</b>) Schematic diagram of meso-MS/Pt/DNA MNMs for miRNA detection in vitro. Reproduced from Ref. [<a href="#B194-nanomaterials-15-00013" class="html-bibr">194</a>]. Copyright 2022, American Chemical Society. (<b>C</b>) Schematic representation of Mg/Pt-Janus-MNM-assisted glucose biosensing in human serum using SPEa. Reproduced from Ref. [<a href="#B196-nanomaterials-15-00013" class="html-bibr">196</a>]. Copyright 2019, American Chemical Society. (<b>D</b>) Schematic of the NBC system for virus detection. Reproduced from Ref. [<a href="#B198-nanomaterials-15-00013" class="html-bibr">198</a>]. Copyright 2018, American Chemical Society.</p>
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<p>Mechanisms of pollutant removal and degradation by MNMs.</p>
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<p>Chemically driven MNMs for environmental remediation. (<b>A</b>) Motion of Pt/Au nanorods in the presence of 100 × 10<sup>−6</sup> m metal–nitrate salt solution of different metals, in 5% H<sub>2</sub>O<sub>2</sub>. The speed enhancement in the presence of Ag<sup>+</sup> ions provides a route to determine the aquatic Ag<sup>+</sup> toxicity. Reproduced from Ref. [<a href="#B201-nanomaterials-15-00013" class="html-bibr">201</a>]. Copyright 2010, American Chemical Society. (<b>B</b>) Top: Catalase-immobilized tubular MNMs; bottom: the effect of pollutants on the locomotion speed due to the inhibition of catalase. Reproduced from Ref. [<a href="#B203-nanomaterials-15-00013" class="html-bibr">203</a>]. Copyright 2013, American Chemical Society. (<b>C</b>) A 3D hierarchical LDH-based Janus microactuator for detection and degradation of catechol. Reproduced from Ref. [<a href="#B208-nanomaterials-15-00013" class="html-bibr">208</a>]. Copyright 2023, Elsevier B.V. All rights reserved. (<b>D</b>) A 3D hierarchical HRP-MIL-100 (Fe)@ TiO<sub>2</sub>@ Fe<sub>3</sub>O<sub>4</sub> Janus magnetic micromotor as a smart active platform for detection and degradation of hydroquinone. Reproduced from Ref. [<a href="#B209-nanomaterials-15-00013" class="html-bibr">209</a>]. Copyright 2022, American Chemical Society. (<b>E</b>) Conversion of an organic dye into byproducts due to a Fenton-like reaction by Fe/Pt tubular MNMs. Reproduced from Ref. [<a href="#B6-nanomaterials-15-00013" class="html-bibr">6</a>]. Copyright 2013, American Chemical Society. (<b>F</b>) MNMs modified with a mixture of natural enzymes and nanoenzymes were used for pollutant degradation. Reproduced from Ref. [<a href="#B216-nanomaterials-15-00013" class="html-bibr">216</a>]. Copyright 2023, Royal Society of Chemistry. (<b>G</b>) Enzyme-powered porous micromotors built from a hierarchical micro- and mesoporous UiO-type metal–organic framework. Reproduced from Ref. [<a href="#B219-nanomaterials-15-00013" class="html-bibr">219</a>]. Copyright 2020, American Chemical Society. (<b>H</b>) Contaminant-fueled laccase-powered Fe<sub>3</sub>O<sub>4</sub>@SiO<sub>2</sub> nanomotors for synergistical degradation of multiple pollutants. Reproduced from Ref. [<a href="#B220-nanomaterials-15-00013" class="html-bibr">220</a>]. Copyright 2022, Elsevier Ltd. All rights reserved.</p>
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<p>Safety and biocompatibility of chemically powered MNMs. (<b>A</b>) Toxicity evaluation of Mg MNMs. Scale bars, 100 mm. Reproduced from Ref. [<a href="#B229-nanomaterials-15-00013" class="html-bibr">229</a>]. Copyright 2017, Wiley-VCH GmbH. (<b>B</b>) Hybrid biodegradable MNMs through compartmentalized synthesis. Reproduced from Ref. [<a href="#B230-nanomaterials-15-00013" class="html-bibr">230</a>]. Copyright 2020, American Chemical Society. (<b>C</b>) Design of Mg/ZnO Janus MNMs and Zn/Fe Janus MNMs. Reproduced from Ref. [<a href="#B232-nanomaterials-15-00013" class="html-bibr">232</a>]. Copyright 2016, American Chemical Society. (<b>D</b>) Histological analysis with H&amp;E staining of stomach (first row), duodenum (second row), ileum (third row), and colon (last row) at 3 days post-injection of PBS and MNMs (scale bar = 200 µm). Reproduced from Ref. [<a href="#B243-nanomaterials-15-00013" class="html-bibr">243</a>]. Copyright 2022, KeAi Communications Co.</p>
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9 pages, 1660 KiB  
Article
Evaluation of the Dynamic Parameters Under Seismic Conditions for a Maxwell Rheological Base Isolation System
by Polidor Bratu, Patricia Murzea, Oana Tonciu, Nicusor Dragan and Cornelia Florentina Dobrescu
Buildings 2024, 14(12), 4075; https://doi.org/10.3390/buildings14124075 - 22 Dec 2024
Viewed by 364
Abstract
The connections of seismic isolation devices for mitigating seismic shocks in the fundamental excitation mode are designed and implemented based on the serial combination of elastomeric isolators, which are primarily elastic, with fluid-based isolators, which are primarily viscous. The energy dissipated in the [...] Read more.
The connections of seismic isolation devices for mitigating seismic shocks in the fundamental excitation mode are designed and implemented based on the serial combination of elastomeric isolators, which are primarily elastic, with fluid-based isolators, which are primarily viscous. The energy dissipated in the fluidic isolators represents a significant parameter for ensuring the attenuation degree of the amplitude of the displacement of the system as well as for its energy dissipation capacity as a direct effect on deformability and speed of the heat transfer. For bridges, viaducts, and buildings, families of elastomeric and fluid isolators connected in series are used to enable both analytical and experimental evaluations of the system’s dynamic isolation and energy dissipation capacities. Based on the results obtained from specialized isolation devices from Italy and the numerical and experimental evaluations carried out by ICECON S.A. Bucharest, Romania, this article will address the aforementioned topic. Full article
(This article belongs to the Special Issue The Vibration Control of Building Structures)
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<p>Dynamic diagram of the equivalent rheological Maxwell model—CKM.</p>
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<p>The parametric curves of variation of the relative amplitude <span class="html-italic">A</span> function of the current variable <math display="inline"><semantics> <mrow> <mi>Ω</mi> </mrow> </semantics></math> and the discrete variable <math display="inline"><semantics> <mrow> <mi>ζ</mi> </mrow> </semantics></math> for <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>X</mi> </mrow> <mrow> <mn>0</mn> </mrow> </msub> <mo>=</mo> <mn>0.3</mn> <mtext> </mtext> <mi mathvariant="normal">m</mi> </mrow> </semantics></math>.</p>
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<p>The parametric curves of variation of the relative amplitude <span class="html-italic">B</span> function of the current variable <math display="inline"><semantics> <mrow> <mi>Ω</mi> </mrow> </semantics></math> and the discrete variable <math display="inline"><semantics> <mrow> <mi>ζ</mi> </mrow> </semantics></math> for <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>X</mi> </mrow> <mrow> <mn>0</mn> </mrow> </msub> <mo>=</mo> <mn>0.3</mn> <mtext> </mtext> <mi mathvariant="normal">m</mi> </mrow> </semantics></math>.</p>
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<p>Energy variation curves for the <span class="html-italic">W</span><sub><span class="html-italic">d</span></sub> function of the current variable <math display="inline"><semantics> <mrow> <mi>Ω</mi> </mrow> </semantics></math> and the discrete variable <math display="inline"><semantics> <mrow> <mi>ζ</mi> </mrow> </semantics></math> for <math display="inline"><semantics> <mrow> <mi>k</mi> <mo>=</mo> <mn>4800</mn> <mtext> </mtext> <mrow> <mrow> <mi mathvariant="normal">k</mi> <mi mathvariant="normal">N</mi> </mrow> <mo>/</mo> <mrow> <mi mathvariant="normal">m</mi> </mrow> </mrow> <mo>;</mo> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>X</mi> </mrow> <mrow> <mn>0</mn> </mrow> </msub> <mo>=</mo> <mn>0.3</mn> <mtext> </mtext> <mi mathvariant="normal">m</mi> </mrow> </semantics></math>.</p>
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12 pages, 3196 KiB  
Article
Hollow Fiber Microreactor Combined with Digital Twin to Optimize the Antimicrobial Evaluation Process
by Kazuhiro Noda, Toshihiro Kasama, Marie Shinohara, Masakaze Hamada, Yukiko T. Matsunaga, Madoka Takai, Yoshikazu Ishii and Ryo Miyake
Micromachines 2024, 15(12), 1517; https://doi.org/10.3390/mi15121517 - 20 Dec 2024
Viewed by 485
Abstract
In order to reproduce pharmacokinetics (PK) profiles seen in vivo, the Hollow Fiber Infection Model (HFIM) is a useful in vitro module in the evaluation of antimicrobial resistance. In order to reduce the consumption of culture medium and drugs, we developed a hollow [...] Read more.
In order to reproduce pharmacokinetics (PK) profiles seen in vivo, the Hollow Fiber Infection Model (HFIM) is a useful in vitro module in the evaluation of antimicrobial resistance. In order to reduce the consumption of culture medium and drugs, we developed a hollow fiber microreactor applicable to the HFIM by integrating the HFIM function. Next, we constructed a novel control method by using the “digital twin” of the microreactor to achieve precise concentration control. By integrating functions of the HFIM, the extra-capillary space volume was reduced to less than 1/10 of conventional HFIM. The control method with the digital twin can keep drug concentration in the extra-capillary space within an error of 10% under simulated drug destruction. The control method with the digital twin can also stabilize the drug concentration both in the intra-capillary space and the extra-capillary space within 15 min. Full article
(This article belongs to the Section C:Chemistry)
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<p>(<b>a</b>) Schematic diagram of HFIM, which has three pumps and one hollow fiber cartridge. Bacteria are cultured in the closed space in the hollow fiber cartridge. (<b>b</b>) Cross-sectional image of hollow fiber cartridge and material exchanges through hollow fibers.</p>
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<p>The concept of a digital twin of hollow fiber microreactor applicable to the HFIM developed in this paper. By using a combination of experimental systems and numerical models, concentrations are precisely controlled. The numerical model was calculated on PC. Details of components shown in this figure are described in <a href="#micromachines-15-01517-f003" class="html-fig">Figure 3</a>, <a href="#micromachines-15-01517-f004" class="html-fig">Figure 4</a> and <a href="#micromachines-15-01517-f005" class="html-fig">Figure 5</a>.</p>
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<p>The flow system of hollow fiber microreactor applicable to the HFIM. The 3D model shows the hollow fiber microreactor created by a 3D printer. The ECS volume is less than 1/10 of conventional HFIM.</p>
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<p>Impedance measurement device for concentration determination. Two electrodes were inserted into two holes and were connected to the impedance spectroscope.</p>
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<p>Numerical model to calculate drug advection and diffusion through hollow fibers. Advection and diffusion in the flow system shown in <a href="#micromachines-15-01517-f003" class="html-fig">Figure 3</a> were calculated.</p>
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<p>The numerical model of β-lactam destruction by <span class="html-italic">E. coli</span> proposed in Frére (1988) [<a href="#B29-micromachines-15-01517" class="html-bibr">29</a>]. The degradation proceeds in the periplasm of <span class="html-italic">E. coli</span> in this model.</p>
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<p>(<b>a</b>) Concentration during drug administration process in hollow fiber microreactor measured by two sensors inserted into ICS and ECS, (<b>b</b>) Flux of sodium chloride diffusion through hollow fibers estimated by EnKF.</p>
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<p>Concentration in the hollow fiber microreactor measured by two sensors inserted into ICS and ECS. The drug destruction rate in the ECS was set to −2.6 μM/min, which is represented with the dotted line. The flow rate of sodium chloride solution supplied from the drug port in the ICS was set to a constant value of 5.5 μL/min.</p>
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<p>Flow rate and concentration in the hollow fiber microreactor measured with three different control methods. The drug destruction rate in the ECS was set to −2.6 μM/min in all control methods. (<b>a</b>) The flow rate of the drug port in the ICS controlled by three different methods: constant rate, proportional feedback, and digital twin. (<b>b</b>) Concentration measured by the sensor in the ICS. (<b>c</b>) Concentration measured by the sensor in the ECS.</p>
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12 pages, 4573 KiB  
Article
The Effect of Bifurcated Geometry on the Diodicity of Tesla Valves
by Sean Wiley and Huei-Ping Huang
Fluids 2024, 9(12), 294; https://doi.org/10.3390/fluids9120294 - 11 Dec 2024
Viewed by 444
Abstract
The Tesla valve is a fluidic diode that enables unidirectional flow while impeding the reverse flow without the assistance of any moving parts. Conventional Tesla valves share a distinctive feature of a bifurcated section that connects the inlet and outlet. This study uses [...] Read more.
The Tesla valve is a fluidic diode that enables unidirectional flow while impeding the reverse flow without the assistance of any moving parts. Conventional Tesla valves share a distinctive feature of a bifurcated section that connects the inlet and outlet. This study uses computational fluid dynamic (CFD) simulations to analyze the importance of the bifurcated design to the efficiency of the Tesla valve, quantified by diodicity. Simulations over the range of the Reynolds number, Re = 50–2000, are performed for three designs: the T45-R, D-valve, and GMF valve, each with two versions with and without the bifurcated section. For the T45-R valve, removing the bifurcated section leads to a consistent increase in diodicity, particularly at high Re. In contrast, the diodicity of the GMF valve drops significantly when the bifurcated section is removed. The D-valve exhibits a mixed behavior. Without the bifurcated section, its diodicity is suppressed at low Re but begins to increase for Re > 1100, eventually matching the diodicity of the bifurcated version at Re = 2000. The results highlight the intricate relationship between valve geometry and efficiency of Tesla-type valves and the dependence of this relationship on the Reynolds number. Full article
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<p>Multi-staged classical Tesla valve and an illustration of the asymmetry between two directions: (<b>a</b>) Forward flow; (<b>b</b>) Reverse flow.</p>
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<p>Three types of Tesla valves investigated in this paper: (<b>a</b>) T45-R; (<b>b</b>) D-valve; (<b>c</b>) GMF valve. The forward and reverse directions for each valve are indicated in blue and red arrows. Detailed CAD parameters are adopted from Thompson et al. [<a href="#B11-fluids-09-00294" class="html-bibr">11</a>] for the T45-R and GMF valves, and de Vries et al. [<a href="#B7-fluids-09-00294" class="html-bibr">7</a>] for the D-valve.</p>
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<p>Contour plots of velocity magnitude on the central cross-section for the simulations of the T45-R valve at <span class="html-italic">Re</span> = 300. (<b>a</b>) Forward run for the bifurcated version. (<b>b</b>) Reverse run for the bifurcated version. (<b>c</b>) Forward run for the non-bifurcated version. (<b>d</b>) Reverse run for the non-bifurcated version.</p>
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<p>Diodicity as a function of the Reynolds number for the T45-R valve with (blue) and without (red) the bifurcated section.</p>
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<p>(<b>a</b>) Velocity magnitude (in m/s) for the non-bifurcated T45-R valve at <span class="html-italic">Re</span> = 2000. (<b>b</b>) Turbulent kinetic energy (in m<sup>2</sup>/s<sup>2</sup>) from the same run.</p>
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<p>Contour plots of velocity magnitude for the simulations of the D-valve at <span class="html-italic">Re</span> = 300. (<b>a</b>) Forward run for the bifurcated version. (<b>b</b>) Reverse run for the bifurcated version. (<b>c</b>) Forward run for the non-bifurcated version. (<b>d</b>) Reverse run for the non-bifurcated version.</p>
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<p>Diodicity as a function of the Reynolds number for the D-valve with (blue) and without (red) the bifurcated section.</p>
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<p>Contour plots of velocity magnitude for the simulations of the GMF valve at <span class="html-italic">Re</span> = 300. (<b>a</b>) Forward run for the bifurcated version. (<b>b</b>) Reverse run for the bifurcated version. (<b>c</b>) Forward run for the non-bifurcated version. (<b>d</b>) Reverse run for the non-bifurcated version.</p>
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<p>Diodicity as a function of the Reynolds number for the GMF valve with (blue) and without (red) the bifurcated section.</p>
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25 pages, 14833 KiB  
Article
Investigation of Flow Control in an Ultra-Compact Serpentine Inlet with Fluidic Oscillators
by Lei Liu, Maolong Bai, Zhihao Wang, Zhengkang Lin, Kun Wang, Huijun Tan and Ziyun Wang
Aerospace 2024, 11(12), 1011; https://doi.org/10.3390/aerospace11121011 - 9 Dec 2024
Viewed by 489
Abstract
For optimal aerodynamic efficiency of specific ultra-compact serpentine intake, fluid oscillators are utilized to regulate airflow. This study employs advanced numerical simulation techniques to examine the effects of various control positions, jet angles, and excitation pressures on flow control efficacy. Control position significantly [...] Read more.
For optimal aerodynamic efficiency of specific ultra-compact serpentine intake, fluid oscillators are utilized to regulate airflow. This study employs advanced numerical simulation techniques to examine the effects of various control positions, jet angles, and excitation pressures on flow control efficacy. Control position significantly impacts the flow field structure within the intake, with a lower surface jet configuration outperforming an upper surface scheme. Optimal performance is achieved with the upper and lower surface jet angles set at 20° and 25°, respectively, under an input pressure of 2.5 times the total inlet pressure. This configuration enhances the total pressure recovery coefficient and reduces the steady-state circumferential distortion index and circumferential total pressure distortion coefficient. However, the flow rate ratio coefficient is notably high. While higher excitation pressures for the fluid oscillator do not inherently exhibit greater effectiveness, careful calibration is essential to accommodate varying positions. Optimal excitation pressure is established for the upper surface, while the control effect on the lower surface improves with increasing excitation pressure. Jet angles significantly affect the fluid oscillator’s control mechanism; small-angle jets effectively add energy to the separation zone, mitigating flow separation, whereas larger jet angles introduce excessive disturbances that outweigh their benefits. Overall, smaller jet angles enhance control effectiveness. Full article
(This article belongs to the Special Issue Environmental Influences on Aircraft Aerodynamics)
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<p>Ultra-compact serpentine inlet model.</p>
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<p>Schematic diagram of the fluid oscillator.</p>
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<p>Mesh for simulation; (<b>a</b>) outflow field region; (<b>b</b>) mesh; (<b>c</b>) grid near the inlet.</p>
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<p>Mesh independence validation; (<b>a</b>) Static pressure coefficient along the flow path; (<b>b</b>) flow rate of the inlet; (<b>c</b>) total pressure recovery coefficient of the inlet; (<b>d</b>) Δσ0 at the exit of the inlet.</p>
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<p>Static pressure coefficient along the interior wall of the inlet.</p>
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<p>Fluid oscillator model and simulation method validation; (<b>a</b>) fluid oscillator for CFD method validation; (<b>b</b>) experimental model of the fluid oscillator for CFD method validation; (<b>c</b>) back pressure at the exit of the fluid oscillator for CFD method validation.</p>
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<p>Fluid oscillator model and simulation method validation; (<b>a</b>) fluid oscillator for CFD method validation; (<b>b</b>) experimental model of the fluid oscillator for CFD method validation; (<b>c</b>) back pressure at the exit of the fluid oscillator for CFD method validation.</p>
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<p>(<b>a</b>) schematic diagram of the flow control positions and (<b>b</b>) excitation angles.</p>
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<p>Mach number distribution at AIP.</p>
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<p>Total pressure distribution at AIP.</p>
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<p>Mach number distribution at the symmetry plane.</p>
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<p>Mach number distribution and vortex structure along the cross-section.</p>
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<p>Limit streamline on the interior wall of the inlet; (<b>a</b>) upper wall; (<b>b</b>) lower wall.</p>
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<p>Control effects at different excitation pressures (upper surface control); (<b>a</b>) R<sub>mass</sub>; (<b>b</b>) σ; (<b>c</b>) Δσ<sub>0</sub>; (<b>d</b>) DC60.</p>
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<p>Control effects at different excitation pressures (lower surface control); (<b>a</b>) R<sub>mass</sub>; (<b>b</b>) σ; (<b>c</b>) Δσ<sub>0</sub>; (<b>d</b>) DC60.</p>
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<p>Control effects at different control positions (<b>a</b>) R<sub>mass</sub>; (<b>b</b>) σ; (<b>c</b>) Δσ<sub>0</sub>; (<b>d</b>) DC60.</p>
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<p>Control effects at different jet angles; (<b>a</b>)R<sub>mass</sub>, (<b>b</b>) σ, (<b>c</b>) Δσ<sub>0</sub>, (<b>d</b>) DC60.</p>
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<p>Control effect on the lower surface under different jet angles: (<b>a</b>) R<sub>mass</sub>; (<b>b</b>) σ; (<b>c</b>) Δσ<sub>0</sub>; (<b>d</b>) DC60.</p>
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<p>AIP Mach number distribution (upper surface control).</p>
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<p>AIP Mach number distribution (upper surface control).</p>
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<p>Symmetry planes’ Mach number distribution (Top_200).</p>
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<p>Symmetry planes’ Mach number distribution (Top_C).</p>
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<p>Mach number distribution and vortex structure along the cross-sections (upper surface control).</p>
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<p>Symmetry planes’ Mach number distribution (Top_800).</p>
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<p>Mach number distribution and vortex structure along the cross-sections (upper surface control).</p>
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<p>AIP Mach number distribution (lower surface control).</p>
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<p>Symmetry planes’ Mach number distribution (lower surface control).</p>
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<p>Mach number distribution and vortex structure along the cross-sections (lower surface control).</p>
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<p>Control effects: (<b>a</b>) R<sub>mass</sub>; (<b>b</b>) σ; (<b>c</b>) Δσ<sub>0</sub>; (<b>d</b>) DC60.</p>
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<p>Control effects: (<b>a</b>) R<sub>mass</sub>; (<b>b</b>) σ; (<b>c</b>) Δσ<sub>0</sub>; (<b>d</b>) DC60.</p>
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<p>Flow field structure (T&amp;D 2.5 P*∞). (<b>a</b>) AIP Mach number distribution; (<b>b</b>) AIP total pressure distribution; (<b>c</b>) Symmetry planes’ Mach number distribution; (<b>d</b>) Mach number distribution and vortex structure along the cross-sections.</p>
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35 pages, 2694 KiB  
Review
Synthetic Jet Actuators for Active Flow Control: A Review
by Howard H. Ho, Ali Shirinzad, Ebenezer E. Essel and Pierre E. Sullivan
Fluids 2024, 9(12), 290; https://doi.org/10.3390/fluids9120290 - 6 Dec 2024
Viewed by 983
Abstract
A synthetic jet actuator (SJA) is a fluidic device often consisting of a vibrating diaphragm that alters the volume of a cavity to produce a synthesized jet through an orifice. The cyclic ingestion and expulsion of the working fluid leads to a zero-net [...] Read more.
A synthetic jet actuator (SJA) is a fluidic device often consisting of a vibrating diaphragm that alters the volume of a cavity to produce a synthesized jet through an orifice. The cyclic ingestion and expulsion of the working fluid leads to a zero-net mass-flux and the transfer of linear momentum to the working fluid over an actuation cycle, leaving a train of vortex structures propagating away from the orifice. SJAs are a promising technology for flow control applications due to their unique features, such as no external fluid supply or ducting requirements, short response time, low weight, and compactness. Hence, they have been the focus of many research studies over the past few decades. Despite these advantages, implementing an effective control scheme using SJAs is quite challenging due to the large parameter space involving several geometrical and operational variables. This article aims to explain the working mechanism of SJAs and provide a comprehensive review of the effects of SJA design parameters in quiescent conditions and cross-flow. Full article
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<p>(<b>a</b>) A schematic drawing of an SJA in quiescent flow (adapted from Feero [<a href="#B40-fluids-09-00290" class="html-bibr">40</a>]) and (<b>b</b>) a Murata MZB1001T02 microblower (adapted from Machado et al. [<a href="#B41-fluids-09-00290" class="html-bibr">41</a>]).</p>
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<p>Schematic drawing of an SJA in quiescent flow during expulsion and ingestion phase, (<b>a</b>) initiation of the ingestion cycle; (<b>b</b>) peak ingestion phase; (<b>c</b>) initiation of the expulsion cycle, and (<b>d</b>) peak expulsion phase.</p>
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<p>Schematic drawing of a rectangular SJA having an array of circular actuators (adapted from Feero [<a href="#B40-fluids-09-00290" class="html-bibr">40</a>]).</p>
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<p>Schematic drawing of different SJA modeling methods, red dotted line indicates where the boundary condition is applied, adapted from Ho et al. [<a href="#B52-fluids-09-00290" class="html-bibr">52</a>].</p>
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<p>A schematic showcasing the complexities in understanding the interaction between a synthetic jet and a boundary layer (based on Ramasamy et al. [<a href="#B114-fluids-09-00290" class="html-bibr">114</a>]).</p>
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<p>Q−criterion contours of hairpin vortices and vortex rings as a result of the interaction between a synthetic jet and a boundary layer, showcasing hairpin vortex (HV), vortex ring (VR), trailing vortex pair (TV), and the near-wall vortex (NV) (adapted from Ho et al. [<a href="#B130-fluids-09-00290" class="html-bibr">130</a>]).</p>
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<p>A schematic illustrating the (<b>a</b>) pitch angle <math display="inline"><semantics> <mi>γ</mi> </semantics></math> and (<b>b</b>) skew angle <math display="inline"><semantics> <mi>β</mi> </semantics></math> for a rectangular SJA in a cross-flow (based on Van Buren et al. [<a href="#B135-fluids-09-00290" class="html-bibr">135</a>]).</p>
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<p>A conceptual model of the vortical structures generated by a rectangular synthetic jet within a boundary layer, depicting the recirculation region and the streamwise vortex pair (based on Van Buren et al. [<a href="#B138-fluids-09-00290" class="html-bibr">138</a>]).</p>
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<p>Separated flow over an airfoil at low Reynolds numbers undergoing (<b>a</b>) shear layer transition without reattachment and (<b>b</b>) flow reattachment and separation bubble formation (based on Yarusevych et al. [<a href="#B146-fluids-09-00290" class="html-bibr">146</a>]).</p>
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<p>Examples showcasing the modulation of (<b>a</b>) a sinusoidal carrier signal at <math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mi>c</mi> </msub> <mo>=</mo> <mn>1000</mn> <mi>Hz</mi> </mrow> </semantics></math> with (<b>b</b>) a sinusoidal envelope at <math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mi>m</mi> </msub> <mo>=</mo> <mn>100</mn> <mi>Hz</mi> </mrow> </semantics></math> and (<b>c</b>) a square pulse envelope at <math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mi>m</mi> </msub> <mo>=</mo> <mn>100</mn> <mi>Hz</mi> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mi>DC</mi> <mo>=</mo> <mn>40</mn> <mo>%</mo> </mrow> </semantics></math>, over a duration of <math display="inline"><semantics> <mrow> <mn>0.05</mn> </mrow> </semantics></math><math display="inline"><semantics> <mi mathvariant="normal">s</mi> </semantics></math>.</p>
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<p>Schematic drawings of the SJA location for (<b>a</b>) a two-dimensional circular cylinder, studied by Amitay et al. [<a href="#B113-fluids-09-00290" class="html-bibr">113</a>], Amitay et al. [<a href="#B167-fluids-09-00290" class="html-bibr">167</a>] and Glezer et al. [<a href="#B118-fluids-09-00290" class="html-bibr">118</a>], and (<b>b</b>) an instrumented NACA 0025 airfoil model used by Feero et al. [<a href="#B168-fluids-09-00290" class="html-bibr">168</a>].</p>
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<p>Contraction of the controlled flow toward the airfoil centerline showcased by (<b>a</b>) a schematic drawing of the SJA array and the streamlines and (<b>b</b>) a smoke visualization image adapted from Ho and Machado [<a href="#B171-fluids-09-00290" class="html-bibr">171</a>].</p>
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14 pages, 8183 KiB  
Article
Improving Fire Suppression Efficiency in Electric Vehicles: A Study on Optimized Upward Spray Devices
by Jin-Dong Oh, Chan-Hoo Kim and Sung-Young Park
Fire 2024, 7(12), 460; https://doi.org/10.3390/fire7120460 - 6 Dec 2024
Viewed by 584
Abstract
Fire accidents in electric vehicles are mainly caused by battery fires, and one of the most effective fire suppression methods is to spray water from the bottom of a vehicle in an upward direction. In this study, analyses and experiments were conducted to [...] Read more.
Fire accidents in electric vehicles are mainly caused by battery fires, and one of the most effective fire suppression methods is to spray water from the bottom of a vehicle in an upward direction. In this study, analyses and experiments were conducted to improve the spray angle of a fluidic oscillator used for attaching an upward spray device. Through these analyses, the factors resulting in the maximum spray angle were derived from the four design variables of the fluidic oscillator, which were reconstructed for further analysis. The model that combined the radius of the mixing chamber curvature, inlet wedge width, and outlet wedge width exhibited the largest spray angle (84°) among the combination models that included the outlet wedge width variable. To evaluate the fire suppression performance of the fluidic oscillator nozzle, a cooling-rate comparison experiment was conducted with a recently used orifice nozzle. The results showed that the fluidic oscillator nozzle leads to a faster overall cooling rate than the orifice nozzle, rendering it more suitable for suppressing battery fires. After the production of the upward spray device, practical tests showed that it could spray a large area under a vehicle, thereby suggesting its applicability in actual fire scenes. Full article
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<p>Concept design for fire suppression using an upward spray device.</p>
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<p>Operation principles of the fluidic oscillator.</p>
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<p>(<b>a</b>) Schematic representation of the design variables. (<b>b</b>) Definitions of the various design variables.</p>
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<p>Three-dimensional model of the fluidic oscillator for simulation purposes.</p>
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<p>Results of the fluid spray angle and frequency experiments for the (<b>a</b>) MR model, (<b>b</b>) IW model, (<b>c</b>) OR model, and (<b>d</b>) OW model.</p>
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<p>Results of the fluid spray angle and frequency experiments for the (<b>a</b>) MR model, (<b>b</b>) IW model, (<b>c</b>) OR model, and (<b>d</b>) OW model.</p>
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<p>Results of the maximum spray angle for the (<b>a</b>) MR-0.97, (<b>b</b>) IW-1.18, (<b>c</b>) OR-1.08, and (<b>d</b>) OW-1.16 models.</p>
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<p>(<b>a</b>,<b>b</b>) Simulation results according to the different variable combinations, and the spray angle results.</p>
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<p>Spray angle results according to the different variable combinations: (<b>a</b>) MR + OW, (<b>b</b>) IW + OW, and (<b>c</b>) MR + IW + OW.</p>
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<p>The fluidic oscillator nozzle experiment rig: (<b>a</b>) schematic representation, and (<b>b</b>) photographic image.</p>
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<p>Experiment results for the fluid spray angle. (<b>a</b>) The base model, (<b>b</b>) the MR + OW model, (<b>c</b>) the IW + OW model, and the (<b>d</b>) MR + IW + OW model.</p>
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<p>Comparison of the experimental and simulated spray angle results.</p>
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<p>The nozzle cooling performance test device: (<b>a</b>) heating plate, (<b>b</b>) FON cooling model, and (<b>c</b>) ON cooling model.</p>
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<p>Average temperature changes on the heating plate.</p>
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<p>Upward spray device to suppress electric vehicle battery fires: (<b>a</b>) 3D model and (<b>b</b>) manufactured device.</p>
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<p>Performance evaluation of the upward spray device. (<b>a</b>) Rear view of the spray from outside the vehicle, (<b>b</b>) side view of the spray from outside the vehicle, and (<b>c</b>) rear view of the spray from under the vehicle.</p>
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15 pages, 8849 KiB  
Article
Complementary Metal Oxide Semiconductor-Based Optical Detection System for Fluidic Cellular Medium pH Quantification
by André A. Santos, Gabriel M. Ferreira, Paulo J. Sousa, Patrícia C. Sousa, Susana O. Catarino and Graça Minas
Photonics 2024, 11(12), 1130; https://doi.org/10.3390/photonics11121130 - 29 Nov 2024
Viewed by 622
Abstract
Accurate pH sensing is essential for the effective physiological control of the culture media in organ-on-a-chip (OoC) systems. This work proposes a miniaturized optical detection system, based on optical transmittance, for pH level quantification of the EGM™-2 Endothelial Cell Growth Medium-2 BulletKit™ culture [...] Read more.
Accurate pH sensing is essential for the effective physiological control of the culture media in organ-on-a-chip (OoC) systems. This work proposes a miniaturized optical detection system, based on optical transmittance, for pH level quantification of the EGM™-2 Endothelial Cell Growth Medium-2 BulletKit™ culture medium. Firstly, using a commercial spectrophotometric setup, a set of wavelengths (500, 560, and 600 nm) was selected, as these wavelengths assure distinctive slope variations for the different pH levels. Then, a current-to-frequency converter, based on a low-power Schmitt trigger model with a voltage enhancer, was proposed as the readout electronics and simulated in Cadence Tools using UMC L180 MM/RF technology. A resolution of 0.002 nA was achieved in the linear range of 30 pA to 3800 nA. A miniaturized system composed of a CMOS n-well/p-substrate photodiode and a polydimethilsiloxane (PDMS) microchannel for the culture media substrate was experimentally tested. For a pH range from 6.6 to 6.2, the results clearly demonstrate a magnitude shift of the slope signal, which becomes negative in basic media and positive in acidic media. Additionally, in the 500–560 nm spectral range, the amplitude of the slopes increases for both basic and acidic culture media. In the 560–600 nm range, the slope decreases progressively as the pH of the medium lowers. This miniaturized system was able to quantify the pH of the culture medium, showing potential to be integrated into an organ-on-a-chip device. Full article
(This article belongs to the Special Issue Optical Sensors for Advanced Biomedical Applications)
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<p>Schematic of the optical setup used to measure the transmittance of each sample in this analysis.</p>
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<p>(<b>a</b>) The current (µA) outputted by the commercial photodiode for a cuvette filled with water and with culture medium at different pH values (8.1, 7.6, 7.2, 6.6, 6.2, and 5.4). The zoomed plot represents the slopes of the same pH curves. (<b>b</b>) The transmittance of the culture medium at different pH values, using a water sample as a reference. For each measurement, <span class="html-italic">n</span> = 3.</p>
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<p>(<b>a</b>) The transmittance of the culture medium at different pH values (8.1, 7.6, 7.2, 6.6, 6.2, and 5.4) at 500 nm, 560 nm, and 600 nm. (<b>b</b>) The slopes of the lines shown in (<b>a</b>) between the wavelengths of 500–560 nm and 560–600 nm. For each measurement, <span class="html-italic">n</span> = 3.</p>
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<p>Schematic circuit of the implemented current-to-frequency converter (extracted from CADENCE Tools Virtuoso). The power supply (VDD) is 1.8 V, and the Schmitt trigger comparator (in yellow) references values are 946 mV and 637 mV.</p>
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<p>(<b>a</b>) Layout of the n-well/p-substrate photodiode using UMC L180 MM/RF masks, designed in Cadence Tools. (<b>b</b>) Optical microscope view of the fabricated n-well/p-substrate photodiode. (<b>c</b>) Layout of the IF converter using UMC L180 MM/RF masks, designed in Cadence Tools. The inside of the green rectangle is represented by the St.</p>
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<p>CAD drawing of the PDMS microchannels with a height of 3 mm, a well of 8 mm in diameter, and a channel of 2 mm in width, all above a 76 × 52 mm<sup>2</sup> glass slide.</p>
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<p>Setup for the transmittance measurements. On the bottom right side, there is a photo of the PDMS microchannels that were fabricated as described in <a href="#sec2dot5-photonics-11-01130" class="html-sec">Section 2.5</a>.</p>
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<p>(<b>a</b>) Simulation characteristics of the frequency vs. current for the IF converter. (<b>b</b>) Zoomed-in view, from 30 pA up to 3800 nA.</p>
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<p>(<b>a</b>) Simulated Vcap, “Trigger Discharge”, and “Output” signals in CADENCE Tools Virtuoso with an input current of 2 nA; (<b>b</b>) zoomed-in view of the waveforms showing the discharging of the capacitor (M2) over time.</p>
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<p>(<b>a</b>) Simulated Vcap, “Trigger Discharge”, and “Output” signals in CADENCE Tools Virtuoso with an input current of 2 nA; (<b>b</b>) zoomed-in view of the waveforms showing the discharging of the capacitor (M2) over time.</p>
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<p>Responsivity and quantum efficiency of the n-well/p-substrate photodiode fabricated using UMC L180 MM/RF technology.</p>
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<p>Transmittance of the culture medium at different pH levels (7.7, 7.3, 6.6, 6.2, 5.4, 4.4): (<b>a</b>) between 500 and 700 nm and (<b>b</b>) at the wavelengths under study (500, 560, and 600 nm). (<b>c</b>) Slopes of the lines shown in (<b>b</b>) between wavelengths of 500–560 nm and 560–600 nm. For each measurement, <span class="html-italic">n</span> = 3.</p>
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24 pages, 11456 KiB  
Review
Recent Advances in Micro- and Nanorobot-Assisted Colorimetric and Fluorescence Platforms for Biosensing Applications
by Arumugam Selva Sharma and Nae Yoon Lee
Micromachines 2024, 15(12), 1454; https://doi.org/10.3390/mi15121454 - 29 Nov 2024
Viewed by 590
Abstract
Micro- and nanorobots (MNRs) have attracted significant interest owing to their promising applications in various fields, including environmental monitoring, biomedicine, and microengineering. This review explores advances in the synthetic routes used for the preparation of MNRs, focusing on both top-down and bottom-up approaches. [...] Read more.
Micro- and nanorobots (MNRs) have attracted significant interest owing to their promising applications in various fields, including environmental monitoring, biomedicine, and microengineering. This review explores advances in the synthetic routes used for the preparation of MNRs, focusing on both top-down and bottom-up approaches. Although the top-down approach dominates the field because of its versatility in design and functionality, bottom-up strategies that utilize template-assisted electrochemical deposition and bioconjugation present unique advantages in terms of biocompatibility. This review investigates the diverse propulsion mechanisms employed in MNRs, including magnetic, electric, light, and biological forces, which enable efficient navigation in various fluidic environments. The interplay between the synthesis and propulsion mechanisms of MNRs in the development of colorimetric and fluorescence detection platforms is emphasized. Additionally, we summarize the recent advancements in MNRs as sensing and biosensing platforms, particularly focusing on colorimetric and fluorescence-based detection systems. By utilizing the controlled motion of MNRs, dynamic changes in the fluorescent signals and colorimetric responses can be achieved, thereby enhancing the sensitivity and selectivity of biomolecular detection. This review highlights the transformative potential of MNRs in sensing applications and emphasizes their role in advancing diagnostic technologies through innovative motion-driven signal transduction mechanisms. Subsequently, we provide an overview of the primary challenges currently faced in MNR research, along with our perspective on the future applications of MNR-assisted colorimetric and fluorescence biosensing in chemical and biological sensing. Moreover, issues related to enhanced stability, biocompatibility, and integration with existing detection systems are discussed. Full article
(This article belongs to the Collection Women in Micromachines)
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<p>(<b>A</b>) Schematic depicting the fabrication process of micropropellers along with the SEM micrographs and FTIR spectral profile of the micropropellers. Reproduced with permission from ref. [<a href="#B32-micromachines-15-01454" class="html-bibr">32</a>], Copyright 2018, The Authors, American Association for the Advancement of Science. (<b>B</b>) Schematic of the synthesis of flexible MNRs and flexible MNRs in an oscillating magnetic field. SEM and EDX images depicting the element distribution of flexible MNRs. Reproduced with permission from ref. [<a href="#B39-micromachines-15-01454" class="html-bibr">39</a>], Copyright 2021, American Chemical Society. (<b>C</b>) Preparation process of PtNP-modified polyelectrolyte multilayer microengines coated with a thin AuNS layer and a tumor-targeted peptide. Reproduced with permission from ref. [<a href="#B44-micromachines-15-01454" class="html-bibr">44</a>], Copyright 2014, American Chemical Society. (<b>D</b>) Synthesis of light-driven hydrogel microactuators. Reproduced with permission from ref. [<a href="#B48-micromachines-15-01454" class="html-bibr">48</a>], Copyright 2020, Elsevier B.V.</p>
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<p>(<b>A</b>) Scheme depicting the microfluidics-assisted fabrication of magnetic hybrid microswimmers with hollow helical structures. Reproduced with permission from [<a href="#B60-micromachines-15-01454" class="html-bibr">60</a>], Copyright 2018, American Chemical Society. (<b>B</b>) Fabrication of (Pd@Au)/Fe<sub>3</sub>O<sub>4</sub>@Sp.-DOX MNRs and schematic of propulsion, NIR-triggered degradation, and DOX release for chemo-photothermal cancer therapy. Reproduced with permission from [<a href="#B62-micromachines-15-01454" class="html-bibr">62</a>], Copyright 2019, American Chemical Society.</p>
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<p>(<b>A</b>) GOx/Pt-NP swimmer. Reproduced with permission from [<a href="#B70-micromachines-15-01454" class="html-bibr">70</a>], Copyright 2017, American Chemical Society. (<b>B</b>) Schematic of catalytic TiO<sub>2</sub>–Au Janus micromotors powered by UV light in water. Reproduced with permission from [<a href="#B73-micromachines-15-01454" class="html-bibr">73</a>], Copyright 2015, American Chemical Society. (<b>C</b>) Preparation of PFC-loaded MBs. Reproduced with permission from [<a href="#B78-micromachines-15-01454" class="html-bibr">78</a>], Copyright 2012, The Authors, Published by WILEY-VCH Verlag GmbH &amp; Co. (<b>D</b>) Magnetotactic bacteria. Reproduced with permission from [<a href="#B83-micromachines-15-01454" class="html-bibr">83</a>], Copyright 2014, American Chemical Society.</p>
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<p>(<b>A</b>) Schematic illustrating the fabrication of a double-engine micromotor and its application for colorimetric cholesterol detection. Reproduced with permission from [<a href="#B65-micromachines-15-01454" class="html-bibr">65</a>], Copyright 2022, Elsevier B.V. (<b>B</b>) Magnetic nanorobot-enabled automated and efficient ELISA (nR-ELISA) analysis. Reproduced with permission from [<a href="#B90-micromachines-15-01454" class="html-bibr">90</a>], Copyright 2022, American Chemical Society. (<b>C</b>) Schematic of the synthesis process of AuNR/PMO JNMs and principle of the AuNR/PMO JNM-assisted LFTS for the rapid dual-modal and amplification-free detection of microRNA. Reproduced with permission from [<a href="#B93-micromachines-15-01454" class="html-bibr">93</a>], Copyright 2023, American Chemical Society. (<b>D</b>) Schematic of bacteriophage-functionalized magnetic Janus micromotors for E. coli bacteria biosensing. Reproduced with permission from [<a href="#B95-micromachines-15-01454" class="html-bibr">95</a>], Copyright 2024, WILEY-VCH Verlag GmbH &amp; Co.</p>
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<p>(<b>A</b>) Schematic of the detection of α-BTx-TRITC using MIP-MMs. Reproduced with permission from [<a href="#B98-micromachines-15-01454" class="html-bibr">98</a>]. Copyright 2024, The Authors, Published by American Chemical Society. (<b>B</b>) OFF–ON MM-based dual aptassay for the simultaneous determination of PCT and IL-6. Reproduced with permission from [<a href="#B99-micromachines-15-01454" class="html-bibr">99</a>]. Copyright 2024, The Author(s), Published by Springer Nature. (<b>C</b>) Schematic of the assay protocol for detecting FK506 using PCL/Fe<sub>2</sub>O<sub>3</sub> magnetic-propelled micromotors. Reproduced with permission from [<a href="#B101-micromachines-15-01454" class="html-bibr">101</a>]. Copyright 2023, The Authors, Published by Elsevier B.V. (<b>D</b>) Schematic showing the helical micromotors as fluorescent probes for DNA sensing. Reproduced with permission from [<a href="#B102-micromachines-15-01454" class="html-bibr">102</a>]. Copyright 2022, Elsevier Ltd. (<b>E</b>) Self-propelled GQD–MRs as dynamic biocarriers for “on-the-fly” DNA detection. Reproduced with permission from [<a href="#B41-micromachines-15-01454" class="html-bibr">41</a>]. Copyright 2023, The Authors, Published by American Chemical Society.</p>
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<p>Overview of the preparation, propulsion mechanism, and applications of MNRs.</p>
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14 pages, 3600 KiB  
Article
High-Energy Fluidic Microfluidizer Produced Whole Germinant Oat Milk: Effects on Physical Properties and Nutritional Quality
by Qimin Wei, Jun Chen, Taotao Dai, Feiyue Ma, Lizhen Deng, Yingying Ke, Yihui Wang, Laichun Guo, Chunlong Wang, Chao Zhan, Changzhong Ren and Ti Li
Foods 2024, 13(22), 3708; https://doi.org/10.3390/foods13223708 - 20 Nov 2024
Viewed by 630
Abstract
Whole oat milk (WOM) was prepared from germinated oat by an innovatively designed high-energy fluidic microfluidizer (HEFM). The results indicated that germination treatment significantly raised the content of total protein, γ-aminobutyric acid, total phenolics, and reducing sugar, while it decreased the content of [...] Read more.
Whole oat milk (WOM) was prepared from germinated oat by an innovatively designed high-energy fluidic microfluidizer (HEFM). The results indicated that germination treatment significantly raised the content of total protein, γ-aminobutyric acid, total phenolics, and reducing sugar, while it decreased the content of total starch and β-glucan. Oat with a germination time of 48 h had the best nutritional quality for producing WOM. The physical stability of the WOM prepared from germinated oat was effectively improved by HEFM treatment. The apparent viscosity increased, the instability index reduced from 0.67 to 0.37, and the precipitate weight ratio decreased from 13.54% to 9.51%. As the pressure of the HEFM increased from 0 to 120 MPa, the particle size decreased from 169.5 to 77.0 µm, which was helpful to improve the physical stability of the WOM. Meanwhile, the color of the WOM became whiter after the HEFM treatment. The content of β-glucan and soluble protein in the WOM significantly increased, which was due to the disruption of cells by the HEFM processing. The optimal HEFM pressure for WOM production is 120 MPa. This study provided a new way to produce whole oat milk with a high nutritional quality and good physical properties. Full article
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<p>The morphology of oats for different germination times of 0 h (<b>A</b>), 12 h (<b>B</b>), 24 h (<b>C</b>), 36 h (<b>D</b>), 48 h (<b>E</b>), 60 h (<b>F</b>), 72 h (<b>G</b>) and sprout length in different germination times (<b>H</b>). Note: Different letters indicate significant (<span class="html-italic">p</span> &lt; 0.05) differences in the sprout length for different germination times.</p>
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<p>Changes in nutrient content of oats at different germination times: (<b>A</b>) total starch, (<b>B</b>) reducing sugars, (<b>C</b>) total protein, (<b>D</b>) β-glucan, (<b>E</b>) γ-aminobutyric acid, (<b>F</b>) total phenolic content. Note: Different letters indicate significant (<span class="html-italic">p</span> &lt; 0.05) differences in above nutritional indexes of oats treated with different germination.</p>
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<p>Effect of different HEFM processing pressures on apparent viscosity (<b>A</b>) and precipitate weight ratio and instability index (<b>B</b>) of germinated whole oat milk. Note: Different letters indicate significant (<span class="html-italic">p</span> &lt; 0.05) differences in precipitate weight ratio and instability index of germinated whole oat milk.</p>
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<p>Effect of different HEFM processing pressures on particle size (<b>A</b>) and distribution (<b>B</b>) of whole germinated oat milk. Note: Different letters indicate significant (<span class="html-italic">p</span> &lt; 0.05) differences on particle size of germinated whole oat milk.</p>
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<p>Effect of different HEFM processing pressures on CLSM and optical microscopy images of whole germinated oat milk. Note: Cl 1 is the protein in the oat milk, C2 is the starch in the oat milk, C3 is the dietary fiber in the oat milk, and the mixing channel is the mixing diagram of the channels.</p>
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<p>(<b>A</b>) Appearance of whole germinated oat milk at different treatment pressures of HEFM. (<b>B</b>) Effect of different HEFM processing pressures on color of whole germinated oat milk. Note: different letters represent significant difference between <span class="html-italic">L*</span>, <span class="html-italic">a*</span>, and <span class="html-italic">b*</span> of whole germinated oat milk (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effect of different HEFM processing pressures on content of whole germinated oat milk: (<b>A</b>) β-glucan content; (<b>B</b>) total phenol content; (<b>C</b>) soluble protein content. Note: Different letters indicate significant (<span class="html-italic">p</span> &lt; 0.05) differences in β-glucan, total phenol, and soluble protein content of whole germinated oat milk.</p>
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12 pages, 796 KiB  
Article
Tug-of-War-Style High-Force Fluidic Actuation for Small Diameter Steerable Instruments
by Robert Lathrop, Mouloud Ourak, Jan Deprest and Emmanuel Vander Poorten
Actuators 2024, 13(11), 444; https://doi.org/10.3390/act13110444 - 7 Nov 2024
Viewed by 700
Abstract
Miniature steerable instruments have the potential to reduce the invasiveness of therapeutic interventions and enable new treatment options. Traditional ways of driving such instruments rely on extrinsic systems due to the challenge of miniaturizing and embedding intrinsic actuators that are powerful enough near [...] Read more.
Miniature steerable instruments have the potential to reduce the invasiveness of therapeutic interventions and enable new treatment options. Traditional ways of driving such instruments rely on extrinsic systems due to the challenge of miniaturizing and embedding intrinsic actuators that are powerful enough near the instrument tip or within the instrument shaft. This work introduces a method to amplify the output force of fluidic actuators by connecting their outputs in parallel but distributing them serially in currently underutilized space along the device’s long axis. It is shown that this new approach makes it possible to realize a significant force amplification within the same instrument diameter, producing a 380% higher static force and a further driving motion of the steerable bending segment 55.6° than an actuator representing the current state of the art, all while occupying a similar footprint. Full article
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<p>An intrinsically actuated flexible fetoscope being steered to access difficult-to-reach points on the placental surface for a laser coagulation procedure.</p>
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<p>Basic functional principle and geometry of a pneumatic artificial muscle, including (<b>a</b>) PAM at rest with labeled geometric parameters relating the braid geometry to actuator dimensions and (<b>b</b>) pressurized PAM contracting axially and exerting an actuation force.</p>
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<p>Serially linked PAMs (<b>a</b>) at rest and (<b>b</b>) contracting during actuation. Proximal PAM ends are connected and fixed in place via a cable (green). Distal PAM ends are connected to the actuation target via a second cable (blue). An assembled prototype chain of linked PAMs are shown (<b>c</b>) at rest and (<b>d</b>) during actuation.</p>
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<p>Test set-up for force and displacement measurements including (<b>a</b>) force sensor, (<b>b</b>) laser distance sensor, (<b>c</b>) pneumatic artificial muscle clamped in place for evaluation, (<b>d</b>) lockable linear slide, (<b>e</b>) pressure sensor, and (<b>f</b>) pressure control valve.</p>
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<p>Results of comparative characterization testing for a single PAM and a group of 5 collaborative PAMs, including (<b>a</b>) maximum static force generation at variable frequency pressure actuation and (<b>b</b>) maximum stroke length when free to contract.</p>
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<p>Comparative images of (<b>a</b>) the internal construction of the bending segment, (<b>b</b>) the maximum bend angle achieved for the 15 mm-long steerable bending segment actuated by a single 250 mm-long PAM, and (<b>c</b>) the same segment actuated by the collaborative output of <math display="inline"><semantics> <mrow> <mn>5</mn> <mo>×</mo> <mn>50</mn> </mrow> </semantics></math> mm-long PAMs, showing the measured angle of the bent laser fiber relative to its unactuated position.</p>
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<p>Bend angles achieved by actuation using a single 250 mm-long PAM compared to the collaborative output of five 50 mm PAMs.</p>
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18 pages, 6141 KiB  
Article
Optimizing Solid Rocket Missile Trajectories: A Hybrid Approach Using an Evolutionary Algorithm and Machine Learning
by Carlo Ferro, Matteo Cafaro and Paolo Maggiore
Aerospace 2024, 11(11), 912; https://doi.org/10.3390/aerospace11110912 - 6 Nov 2024
Viewed by 968
Abstract
This paper introduces a novel approach for modeling and optimizing the trajectory and behavior of small solid rocket missiles. The proposed framework integrates a six-degree-of-freedom (6DoF) simulation environment experimentally tuned for accuracy, with a combination of genetic algorithms (GAs) and machine learning (ML) [...] Read more.
This paper introduces a novel approach for modeling and optimizing the trajectory and behavior of small solid rocket missiles. The proposed framework integrates a six-degree-of-freedom (6DoF) simulation environment experimentally tuned for accuracy, with a combination of genetic algorithms (GAs) and machine learning (ML) to enhance the performance of the missile path. In the initial phase, a GA is employed to optimize the missile’s trajectory for efficient target acquisition, defining key launch parameters such as the ramp angle and lateral maneuver force to minimize positional errors and to ensure effective target engagement. Following trajectory optimization, the derived data are used to train an ML model that predicts setup parameters, significantly reducing computational costs and time. This close integration enables real-time adjustments for acquiring moving targets, thereby improving accuracy and minimizing maneuvering costs. This study also explores the application of fluidic thrust vectoring for small rockets, providing an innovative solution to enhance maneuverability and control, especially at low speeds. The proposed framework was validated using experimental launch data from the Icarus Team. The methodology offers a robust and cost-effective solution for precision targeting and improved maneuverability in aerospace and defense contexts. Full article
(This article belongs to the Section Astronautics & Space Science)
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<p>Patented section view of small rocket with integrated cooling and thrust vectoring.</p>
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<p>Reference frames.</p>
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<p>Model overview.</p>
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<p>A schematic of the classification NN.</p>
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<p>A schematic of the regression NN.</p>
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<p>Optimal trajectory calculation: (<b>a</b>) workflow diagram, (<b>b</b>) target grid, (<b>c</b>) post-processing graph.</p>
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<p>NN training and extraction of the model.</p>
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<p>GA optimization algorithm: (<b>a</b>) time contour plot, (<b>b</b>) zenith contour plot, (<b>c</b>) maneuver angle contour plot, (<b>d</b>) accuracy contour plot, (<b>e</b>) accuracy histogram, (<b>f</b>) typical trajectory.</p>
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<p>GA optimization algorithm: (<b>a</b>) time contour plot, (<b>b</b>) zenith contour plot, (<b>c</b>) maneuver angle contour plot, (<b>d</b>) accuracy contour plot, (<b>e</b>) accuracy histogram, (<b>f</b>) typical trajectory.</p>
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<p>GA optimization algorithm with restricted domain: (<b>a</b>) time contour plot, (<b>b</b>) zenith contour plot, (<b>c</b>) maneuver angle contour plot, (<b>d</b>) accuracy contour plot, (<b>e</b>) accuracy histogram, (<b>f</b>) typical trajectory.</p>
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<p>GA optimization algorithm with restricted domain: (<b>a</b>) time contour plot, (<b>b</b>) zenith contour plot, (<b>c</b>) maneuver angle contour plot, (<b>d</b>) accuracy contour plot, (<b>e</b>) accuracy histogram, (<b>f</b>) typical trajectory.</p>
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<p>Performance of NN classification algorithm: (<b>a</b>) neural network zenith angle; (<b>b</b>) GA zenith angle. (<b>c</b>) the network’s proficiency; (<b>d</b>) the confusion matrix.</p>
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<p>Performance of NN classification algorithm under the different zenith angles: (<b>a</b>,<b>b</b>) 0°, (<b>c</b>,<b>d</b>) 15°, (<b>e</b>,<b>f</b>) 30°, and (<b>g</b>,<b>h</b>) 45°.</p>
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<p>Performance of NN classification algorithm under the different zenith angles: (<b>a</b>,<b>b</b>) 0°, (<b>c</b>,<b>d</b>) 15°, (<b>e</b>,<b>f</b>) 30°, and (<b>g</b>,<b>h</b>) 45°.</p>
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<p>Different batch performance evaluations with NN: (<b>a</b>) time contour plot, (<b>b</b>) zenith contour plot, (<b>c</b>) maneuver angle contour plot, (<b>d</b>) accuracy contour plot, (<b>e</b>) accuracy histogram, (<b>f</b>) typical trajectory.</p>
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<p>Different batch performance evaluations with NN: (<b>a</b>) time contour plot, (<b>b</b>) zenith contour plot, (<b>c</b>) maneuver angle contour plot, (<b>d</b>) accuracy contour plot, (<b>e</b>) accuracy histogram, (<b>f</b>) typical trajectory.</p>
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<p>Aerodynamic forces and moment coefficients expressed in body axes (x, longitudinal; y and z, transversal axes): (<b>a</b>) force coefficient along z body axis, (<b>b</b>) force coefficient along x body axis, (<b>c</b>) moment coefficient around y body axis.</p>
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<p>Aerodynamic forces and moment coefficients expressed in body axes (x, longitudinal; y and z, transversal axes): (<b>a</b>) force coefficient along z body axis, (<b>b</b>) force coefficient along x body axis, (<b>c</b>) moment coefficient around y body axis.</p>
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22 pages, 15149 KiB  
Article
A Peridynamics-Smoothed Particle Hydrodynamics Coupling Method for Fluid-Structure Interaction
by Chengjie Cao, Chenxu Gu, Chao Wang, Chunhui Wang, Pei Xu and Hui Wang
J. Mar. Sci. Eng. 2024, 12(11), 1968; https://doi.org/10.3390/jmse12111968 - 1 Nov 2024
Viewed by 731
Abstract
Ice–water interaction is a critical issue of engineering studies in polar regions. This paper proposes a methodology to simulate fluid–ice interactions by employing a structure modeled using ordinary state-based peridynamics (OSB-PD) within a smoothed particle hydrodynamics (SPH) framework, effectively representing a deformable moving [...] Read more.
Ice–water interaction is a critical issue of engineering studies in polar regions. This paper proposes a methodology to simulate fluid–ice interactions by employing a structure modeled using ordinary state-based peridynamics (OSB-PD) within a smoothed particle hydrodynamics (SPH) framework, effectively representing a deformable moving boundary. The forces at the fluid–structure interface are delineated by solving the fluid motion equations for normal forces exerted by the fluid on the structure, grounded in the momentum conservation law. Upon validating the PD and SPH methods, a dam break flowing through an elastic gate was simulated. When compared with experimental results, the model exhibited discrepancies of 3.8%, 0.5%, and 4.6% in the maximum horizontal displacement, maximum vertical displacement, and the waterline deviation (W = 0.05 m), respectively. Moreover, the method demonstrated a high degree of accuracy in simulating the fracture of in-situ cantilever ice beams, with deflection closely matching experimental data and a 7.4% error in maximum loading force. The proposed PD-SPH coupling approach demonstrates its effectiveness in capturing the complex fluid–structure interactions and provides a valuable tool for studying the deformation and fracture of structures under the influence of fluid forces. Full article
(This article belongs to the Section Ocean Engineering)
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<p>Peridynamic interaction between the central point <span class="html-italic">i</span> and its family member <span class="html-italic">j</span>.</p>
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<p>Fixed ghost particle boundary technique.</p>
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<p>Schematic of fluid–structure interaction. (<b>a</b>) Force exerted by fluid on structure; (<b>b</b>) Force exerted by structure on fluid.</p>
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<p>Numerical computational procedure of the coupled PD-SPH model.</p>
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<p>Comparison of displacement results between PD and FEM methods. (<b>a</b>) X-directional displacement; (<b>b</b>) Y-directional displacement.</p>
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<p>Simulation results of the PD method under different particle diameters.</p>
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<p>Schematic diagram of the cantilever ice beam.</p>
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<p>Vertical displacement before and after the loading failure of the cantilever ice beam.</p>
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<p>Simulation results of cantilever beams with different length-to-thickness ratios. (<b>a</b>) Fracture and fragmentation cloud diagram; (<b>b</b>) Displacement–load curve.</p>
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<p>Schematic diagram of the two-dimensional dam break.</p>
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<p>Pressure field of the dam break.</p>
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<p>Comparison of experimental pressure with different particle diameters.</p>
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<p>Schematic diagram of the dam break flowing through an elastic gate.</p>
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<p>Comparison of experimental result with simulation. (<b>a</b>) 0.08 s; (<b>b</b>) 0.16 s; (<b>c</b>) 0.24 s; (<b>d</b>) 0.32 s.</p>
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<p>Comparison of experimental result with simulation. (<b>a</b>) 0.08 s; (<b>b</b>) 0.16 s; (<b>c</b>) 0.24 s; (<b>d</b>) 0.32 s.</p>
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<p>Comparison of displacement results and water level results with experimental data. (<b>a</b>) Displacement results [<a href="#B4-jmse-12-01968" class="html-bibr">4</a>,<a href="#B37-jmse-12-01968" class="html-bibr">37</a>,<a href="#B58-jmse-12-01968" class="html-bibr">58</a>]; (<b>b</b>) Water level results [<a href="#B58-jmse-12-01968" class="html-bibr">58</a>].</p>
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<p>Schematic of the in-situ cantilever beam model.</p>
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<p>Vertical displacement of the beam and velocity of the flow field at different moments. (<b>a</b>) 0.15 s; (<b>b</b>) 2.5 s; (<b>c</b>) 3.2 s; (<b>d</b>) 2.5 s.</p>
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<p>Vertical displacement of the beam and velocity of the flow field at different moments. (<b>a</b>) 0.15 s; (<b>b</b>) 2.5 s; (<b>c</b>) 3.2 s; (<b>d</b>) 2.5 s.</p>
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<p>Comparison of simulated and experimental loads for in-situ cantilever beam [<a href="#B56-jmse-12-01968" class="html-bibr">56</a>].</p>
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<p>Water–ice interaction forces under different length-to-thickness ratios.</p>
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