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18 pages, 4842 KiB  
Article
Study on Speckle Noise Reduction in Laser Projection Displays
by Hongyou Zhang, Yu Hu, Shuihai Peng and Yong Liu
Photonics 2024, 11(4), 290; https://doi.org/10.3390/photonics11040290 - 22 Mar 2024
Cited by 4 | Viewed by 1707
Abstract
Laser speckle has a negative effect on laser projectors, so reducing laser speckle is crucial for the development of laser projector displays. We primarily focus on studying the laser speckle contrast of laser projector displays and the mechanism for reducing speckle. Based on [...] Read more.
Laser speckle has a negative effect on laser projectors, so reducing laser speckle is crucial for the development of laser projector displays. We primarily focus on studying the laser speckle contrast of laser projector displays and the mechanism for reducing speckle. Based on the theory of decreasing temporal and spatial coherence of laser light, this report derives the complete formula for calculating speckle contrast in a laser projector display and provides detailed calculation procedures. According to the comprehensive formula, the primary factors influencing speckle contrast encompass wavelength, spectrum, angles of incidence or observation of lasers, the roughness of the screen surface, the number of independent speckle patterns generated by a moving diffuser, and the number of resolution elements within one eye resolution element in the projector lens. Various methods have been used in the projection engine to suppress speckle, and the main factors for reducing speckle have been verified through theoretical calculations and experimental verification. At a testing distance of 700 mm and with an F-number of 41.7 for the detector lens, the RGB laser speckle contrasts were measured to be 9.1%, 7.3%, and 10.4%, respectively, which aligns well with the results obtained from theoretical calculations. Meanwhile, the speckle contrast of the white field was also measured, yielding a result of 5.6%. The speckle contrast becomes imperceptible when the viewing distance exceeds 2000 mm in our projection system. Full article
(This article belongs to the Special Issue Advanced Lasers and Their Applications)
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<p>The diagram illustrates the simple beam path of a laser projection engine.</p>
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<p>The large circle of diameter <span class="html-italic">d</span> represents one resolution element of the detector, while the smaller circles of diameter <span class="html-italic">s</span> represent resolution elements of the projector lens.</p>
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<p>The diagram of the projection engine consists of three parts: a combiner system, an illumination system, and a projection lens. The red arrow indicates the orientation of the image.</p>
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<p>The speckle contrast decreases as the FWHM of RGB lasers increases.</p>
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<p>The speckle contrast decreases as the roughness of screen increases.</p>
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<p>The number of independent speckle patterns and speckle contrast change as the rotational frequency of the moving diffuse increases.</p>
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<p>RGB laser speckle contrast changes as a function of viewing distance.</p>
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<p>RGB laser speckle contrast changes as a function of F-number of projection lens (<b>a</b>) and detector lens (<b>b</b>).</p>
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<p>The testing results show the RGBW laser speckle contrasts are 9.1%, 7.3%, 10.4%, and 5.6%, respectively, (<b>a</b>–<b>d</b>) represent the pictures of the RGBW laser speckle.</p>
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<p>The experimental results demonstrate that the speckle contrasts of the RGB laser exhibit variations in response to changes in the detection range.</p>
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<p>The experimental results demonstrate that the speckle contrasts of the RGB laser decrease with increasing detection range.</p>
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<p>The experimental results demonstrate that the speckle contrasts of the RGB laser vary as a function of the F-number of the detection lens.</p>
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<p>The experimental and theoretical comparison of the impact of changing the F number on RGB laser speckle contrast.</p>
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11 pages, 2808 KiB  
Article
The Effect of Different System Parameters on the Movement of Microbial Cells Using Light-Induced Dielectrophoresis
by Devin Keck, Suma Ravi, Shivam Yadav and Rodrigo Martinez-Duarte
Micromachines 2024, 15(3), 342; https://doi.org/10.3390/mi15030342 - 29 Feb 2024
Cited by 1 | Viewed by 1579
Abstract
The manipulation of single particles remains a topic of interest with many applications. Here we characterize the impact of selected parameters on the motion of single particles thanks to dielectrophoresis (DEP) induced by visible light, in a technique called Light-induced Dielectrophoresis, or LiDEP, [...] Read more.
The manipulation of single particles remains a topic of interest with many applications. Here we characterize the impact of selected parameters on the motion of single particles thanks to dielectrophoresis (DEP) induced by visible light, in a technique called Light-induced Dielectrophoresis, or LiDEP, also known as optoelectronic tweezers, optically induced DEP, and image-based DEP. Baker’s yeast and Candida cells are exposed to an electric field gradient enabled by shining a photoconductive material with a specific pattern of visible light, and their response is measured in terms of the average cell velocity towards the gradient. The impact on cell velocity when varying the shape and color of the light pattern, as well as the distance from the cell to the pattern, is presented. The experimental setup featured a commercial light projector featuring digital light processing (DLP) technology but mechanically modified to accommodate a 40× microscope objective lens. The minimal resolution achieved on the light pattern was 8 µm. Experimental results show the capability for single cell manipulation and the possibility of using different shapes, colors, and distances to determine the average cell velocity. Full article
(This article belongs to the Special Issue Micromachines for Dielectrophoresis, 3rd Edition)
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<p>(<b>A</b>) A picture of the LiDEP setup showing the projector used to generate the pattern and the upright microscope used for visualization of the experiment. The red ellipse indicates the positioning of the experimental device in the system. (<b>B</b>) Schematic of the experimental device. The bottom electrode featured a stacking of electrically conductive indium tin oxide ITO; photoconductive amorphous silicon a-Si; and a passivating layer of silicon nitride (SiN) on top of a fused silica substrate. The top electrode featured a single layer of ITO on top of fused silica. Stretched parafilm was used to create the experimental chamber. (<b>C</b>) Top and side views of the computational model showing dimensions, values assigned to boundaries, and the modeled pattern (in black). Voltage is applied to the pattern, a triangular one in this case.</p>
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<p>(<b>A</b>–<b>C</b>) Time lapse of the manipulation of individual <span class="html-italic">C. albicans</span> cells. Note how the 4 different cells follow the dot of light.</p>
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<p>Box and whisker plots of the cell velocities (n ~30) resulting in specific locations of the shapes used in this work: (<b>A</b>) a triangle, (<b>B</b>) a square, and (<b>C</b>) a star. Cell trajectories, illustrative of the experimental results, are plotted as red or green for vertices in the shape and yellow for flats. (<b>D</b>) The distribution of ∇(<span class="html-italic">E</span><sup>2</sup>) for the triangle and star shapes at a polarizing voltage increasing from 5 to 7.5 and 10 V. Details of the computational model shown in <a href="#micromachines-15-00342-f001" class="html-fig">Figure 1</a>C.</p>
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<p>Characterization of the effect of pattern color on cell velocity. Box and whisker plots are used to display the experimental velocity data (n ~30) for three different cell spp. (<b>A</b>) <span class="html-italic">S. cerevisiae</span> (size 6.0 ± 0.7 µm [<a href="#B32-micromachines-15-00342" class="html-bibr">32</a>]), (<b>B</b>) <span class="html-italic">C. glabrata</span> (size 3.24 ± 0.63 µm, as directly measured) and (<b>C</b>) <span class="html-italic">C. albicans</span> (size 5.12 ± 0.75 µm [<a href="#B27-micromachines-15-00342" class="html-bibr">27</a>]). (<b>D</b>) The wavelength and power of the light measured from projections of the different colors used in this work.</p>
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<p>(<b>A</b>) Images from experiments showing the increasing size of the step size. (<b>B</b>) Results characterizing the relationship between step size and average velocity of a single cell. Average velocity measurements were made for six different individual cells across 12 different step sizes.</p>
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17 pages, 3038 KiB  
Article
First-Principle Studies on Local Lattice Distortions and Thermodynamic Properties in Non-Stoichiometric Thorium Monocarbide
by Qianglin Wei, Lin Zhu, Yiyuan Wu, Yibao Liu and Baotian Wang
Materials 2023, 16(23), 7484; https://doi.org/10.3390/ma16237484 - 2 Dec 2023
Cited by 1 | Viewed by 1231
Abstract
Thorium monocarbide (ThC) is interesting as an alternative fertile material to be used in nuclear breeder systems and thorium molten salt reactors because of its high thermal conductivity, good irradiation performance, and wide homogeneous composition range. Here, the influence of carbon vacancy site [...] Read more.
Thorium monocarbide (ThC) is interesting as an alternative fertile material to be used in nuclear breeder systems and thorium molten salt reactors because of its high thermal conductivity, good irradiation performance, and wide homogeneous composition range. Here, the influence of carbon vacancy site and concentration on lattice distortions in non-stoichiometric ThC1−x (x = 0, 0.03125, 0.0625, 0.125, 0.1875, 0.25, or 0.3125) is systematically investigated using first-principle calculations by the projector augmented wave (PAW) method. The energy, mechanical parameters, and thermodynamic properties of the ThC1-x system are calculated. The results show that vacancy disordering has little influence on the total energy of the system at a constant carbon vacancy concentration using the random substitution method. As the concentration of carbon vacancies increases, significant lattice distortion occurs, leading to poor structural stability in ThC1−x systems. The changes in lattice constant and volume indicate that ThC0.75 and ThC0.96875 represent the boundaries between two-phase and single-phase regions, which is consistent with our experiments. Furthermore, the structural phase of ThC1−x (x = 0.25–0.3125) transforms from a cubic to a tetragonal structure due to its ‘over-deficient’ composition. In addition, the elastic moduli, Poisson’s ratio, Zener anisotropic factor, and Debye temperature of ThC1-x approximately exhibit a linear downward trend as x increases. The thermal expansion coefficient of ThC1−x (x = 0–0.3125) exhibits an obvious ‘size effect’ and follows the same trend at high temperatures, except for x = 0.03125. Heat capacity and Helmholtz free energy were also calculated using the Debye model; the results showed the C vacancy defect has the greatest influence on non-stoichiometric ThC1−x. Our results can serve as a theoretical basis for studying the radiation damage behavior of ThC and other thorium-based nuclear fuels in reactors. Full article
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<p>Random substitution models of the 8-atom unit cell structure and 2 × 2 × 2 64-atom supercell structures with the lowest energy in each group of 10. (<b>a</b>) <span class="html-italic">x</span> = 0, Th<sub>4</sub>C<sub>4</sub>; (<b>b</b>) <span class="html-italic">x</span> = 0, Th<sub>32</sub>C<sub>32</sub>; (<b>c</b>) <span class="html-italic">x</span> = 0.03125, Th<sub>32</sub>C<sub>31</sub>; (<b>d</b>) <span class="html-italic">x</span> = 0.0625, Th<sub>32</sub>C<sub>30</sub>; (<b>e</b>) <span class="html-italic">x</span> = 0.125, Th<sub>32</sub>C<sub>28</sub>; (<b>f</b>) <span class="html-italic">x</span> = 0.1875, Th<sub>32</sub>C<sub>26</sub>; (<b>g</b>) <span class="html-italic">x</span> = 0.25, Th<sub>32</sub>C<sub>24</sub>; (<b>h</b>) <span class="html-italic">x</span> = 0.3125, Th<sub>32</sub>C<sub>22</sub>.</p>
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<p>Relationship between carbon vacancy concentration and total energy (E<span class="html-italic"><sub>tot</sub></span>). (<b>a</b>) Relationship between ten groups of vacancy configurations (A, B, C, …, I, and J) and <span class="html-italic">E<sub>tot</sub></span> for ThC<sub>1−<span class="html-italic">x</span></sub> (<span class="html-italic">x</span> = 0.03125, 0.0625, 0.125, 0.1875, 0.25, or 0.3125), where ‘Mean’ represents the average value of the group. (<b>b</b>) <span class="html-italic">E<sub>tot</sub></span> and standard deviation (amplification in red circle).</p>
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<p>Lattice parameter (<span class="html-italic">a</span>) as a function of carbon concentration (1 − <span class="html-italic">x</span>) for ThC<sub>1−<span class="html-italic">x</span></sub> compounds, including a comparison with experimental data.</p>
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<p>Elastic constants <span class="html-italic">c</span><sub>11</sub>, <span class="html-italic">c</span><sub>12</sub>, and <span class="html-italic">c</span><sub>44</sub> as a function of (1 − <span class="html-italic">x</span>) in ThC<sub>1−<span class="html-italic">x</span></sub>.</p>
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<p>Relationship of volume modulus (B), shear modulus (G), and Young’s modulus (E) with (1 − <span class="html-italic">x</span>) in ThC<sub>1−<span class="html-italic">x</span></sub>.</p>
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<p>Relationship of the ratio of the bulk modulus to the shear modulus (<span class="html-italic">B</span>/<span class="html-italic">G</span>), Poisson’s ratio (ν), and Zener anisotropy factor (<span class="html-italic">A</span>) with (1 − <span class="html-italic">x</span>) in ThC<sub>1−<span class="html-italic">x</span></sub>.</p>
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<p>Relationship of the Debye temperature (<span class="html-italic">Ɵ<sub>D</sub></span>, K) and the longitudinal, transverse elastic, and average wave velocities (<span class="html-italic">ν<sub>l</sub>, ν<sub>t</sub></span>, and <span class="html-italic">ν<sub>m</sub></span>, respectively, m·s<sup>−1</sup>) with (1 − <span class="html-italic">x</span>) for ThC<sub>1−<span class="html-italic">x</span></sub>.</p>
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<p>Variation in the thermal expansion coefficient (α) with temperature for 2 × 2 × 2 supercell of ThC<sub>1−<span class="html-italic">x</span></sub>.</p>
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<p>Variation in heat capacity (C<sub>v</sub>) with temperature for 2 × 2 × 2 supercell of ThC<sub>1−<span class="html-italic">x</span></sub>.</p>
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<p>Variation in Helmholtz free energy A(T) with temperature for 2 × 2 × 2 supercell of ThC<sub>1−<span class="html-italic">x</span></sub>.</p>
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<p>Convergence of total energy (<span class="html-italic">E<sub>tot</sub></span>) as a function of plane wave cutoff energy (<span class="html-italic">E<sub>cut</sub></span>) and k-points.</p>
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25 pages, 518 KiB  
Article
The Fuzzy Bit
by Milagrosa Aldana and María Antonia Lledó
Symmetry 2023, 15(12), 2103; https://doi.org/10.3390/sym15122103 - 23 Nov 2023
Viewed by 1692
Abstract
In this paper, the formulation of Quantum Mechanics in terms of fuzzy logic and fuzzy sets is explored. A result by Pykacz, which establishes a correspondence between (quantum) logics (lattices with certain properties) and certain families of fuzzy sets, is applied to the [...] Read more.
In this paper, the formulation of Quantum Mechanics in terms of fuzzy logic and fuzzy sets is explored. A result by Pykacz, which establishes a correspondence between (quantum) logics (lattices with certain properties) and certain families of fuzzy sets, is applied to the Birkhoff–von Neumann logic, the lattice of projectors of a Hilbert space. Three cases are considered: the qubit, two qubits entangled, and a qutrit ‘nested’ inside the two entangled qubits. The membership functions of the fuzzy sets are explicitly computed and all the connectives of the fuzzy sets are interpreted as operations with these particular membership functions. In this way, a complete picture of the standard quantum logic in terms of fuzzy sets is obtained for the systems considered. Full article
(This article belongs to the Section Physics)
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<p>Partial order in the power set of a three element set.</p>
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<p>Bloch ball of states and vector associated to the observable.</p>
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<p>Experimental functions of the qubit in terms of the angle between the Bloch vector and the unitary vector associated to the observable <span class="html-italic">A</span> [<a href="#B18-symmetry-15-02103" class="html-bibr">18</a>].</p>
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24 pages, 8773 KiB  
Article
Topology Optimization for Digital Light Projector Additive Manufacturing Addressing the In-Situ Structural Strength Issue
by Jun Wang, Jikai Liu and Lei Li
Polymers 2023, 15(17), 3573; https://doi.org/10.3390/polym15173573 - 28 Aug 2023
Cited by 1 | Viewed by 1628
Abstract
A topology optimization approach is proposed for the design of self-supporting structures for digital light projector (DLP) 3D printing. This method accounts for the adhesion forces between the print part and the resin base during DLP printing to avoid failure of the part [...] Read more.
A topology optimization approach is proposed for the design of self-supporting structures for digital light projector (DLP) 3D printing. This method accounts for the adhesion forces between the print part and the resin base during DLP printing to avoid failure of the part due to stress concentration and weak connections. Specifically, the effect of the process-related adhesion forces is first simulated by developing a design variable-interpolated finite element model to capture the intricate mechanical behavior during DLP 3D printing. Guided by the process model, a stress-constrained topology optimization algorithm is formulated with both the SIMP and RAMP interpolation schemes. The interpolations on the stress term and the design-dependent adhesion load are carefully investigated. A sensitivity result on the P-norm stress constraint is fully developed. Finally, the approach is applied to several 2D benchmark examples to validate its efficacy in controlling the process-caused peak P-norm stresses. The effects of alternating between the SIMP and RAMP interpolations and changing the stress upper limits are carefully explored during the numerical trials. Moreover, 3D printing tests are performed to validate the improvement in printability when involving the process-related P-norm stress constraint. Full article
(This article belongs to the Section Polymer Processing and Engineering)
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<p>Self-supporting structure failure in DLP additive manufacturing process.</p>
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<p>Additive manufacturing process model.</p>
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<p>The schematic diagram of the AM filter for 2D cases.</p>
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<p>Boundary condition for the MBB beam.</p>
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<p>The optimized MBB beam structures and the stress profile plots corresponding to the most stress-concentrated load steps obtained with SIMP interpolation: (<b>a</b>) without P-norm stress constraint; (<b>b</b>) P-norm stress limit set to 10; (<b>c</b>) P-norm stress limit set to 5; (<b>d</b>) P-norm stress limit set to 3.</p>
Full article ">Figure 5 Cont.
<p>The optimized MBB beam structures and the stress profile plots corresponding to the most stress-concentrated load steps obtained with SIMP interpolation: (<b>a</b>) without P-norm stress constraint; (<b>b</b>) P-norm stress limit set to 10; (<b>c</b>) P-norm stress limit set to 5; (<b>d</b>) P-norm stress limit set to 3.</p>
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<p>Iteration history curves under different constraint conditions using SIMP interpolation: (<b>a</b>) P-norm stress limit set to 10; (<b>b</b>) P-norm stress limit set to 5; (<b>c</b>) P-norm stress limit set to 3.</p>
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<p>The optimized MBB beam structure and the stress profile plots corresponding to the most stress-concentrated load steps obtained with RAMP interpolation: (<b>a</b>) without P-norm stress constraint; (<b>b</b>) P-norm stress limit set to 10; (<b>c</b>) P-norm stress limit set to 5; (<b>d</b>) P-norm stress limit set to 3.</p>
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<p>Optimized structural compliances under different constraint conditions and interpolation methods: group 1 represents the topology optimization result without stress constraint; group 2 has the process stress upper limit of 10; group 3 has the process stress upper limit of 5; and group 4 takes the process stress upper limit of 3.</p>
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<p>Iteration curves under different constraint conditions using RAMP interpolation: (<b>a</b>) P-norm stress limit set to 10; (<b>b</b>) P-norm stress limit set to 5; (<b>c</b>) P-norm stress limit set to 3.</p>
Full article ">Figure 9 Cont.
<p>Iteration curves under different constraint conditions using RAMP interpolation: (<b>a</b>) P-norm stress limit set to 10; (<b>b</b>) P-norm stress limit set to 5; (<b>c</b>) P-norm stress limit set to 3.</p>
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<p>The boundary condition for the cantilever beam.</p>
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<p>The optimal cantilever beam structure and the stress profiles corresponding to the most stress-concentrated load steps obtained with SIMP interpolation: (<b>a</b>) without P-norm stress constraint; (<b>b</b>) P-norm stress limit set to 10; (<b>c</b>) P-norm stress limit set to 5; (<b>d</b>) P-norm stress limit set to 3.</p>
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<p>Iteration curves under different constraint conditions using SIMP interpolation: (<b>a</b>) P-norm stress limit set to 10; (<b>b</b>) P-norm stress limit set to 5; (<b>c</b>) P-norm stress limit set to 3.</p>
Full article ">Figure 12 Cont.
<p>Iteration curves under different constraint conditions using SIMP interpolation: (<b>a</b>) P-norm stress limit set to 10; (<b>b</b>) P-norm stress limit set to 5; (<b>c</b>) P-norm stress limit set to 3.</p>
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<p>The optimal cantilever beam structure and the stress profiles corresponding to the most stress-concentrated load steps obtained with RAMP interpolation: (<b>a</b>) without P-norm stress constraint; (<b>b</b>) P-norm stress limit set to 10; (<b>c</b>) P-norm stress limit set to 5; (<b>d</b>) P-norm stress limit set to 3.</p>
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<p>Optimized structural compliances from different constraint conditions and interpolation methods: group 1 represents the topology optimization result without stress constraint; group 2 has the process stress upper limit of 10; group 3 has the process stress upper limit of 5; and group 4 has the process stress upper limit of 3.</p>
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<p>Iteration curves under different stress constraint conditions using RAMP interpolation: (<b>a</b>) P-norm stress limit set to 10; (<b>b</b>) P-norm stress limit set to 5; (<b>c</b>) P-norm stress limit set to 3.</p>
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<p>Topology optimization result without process stress constraint: (<b>a</b>) optimized MBB beam structure; (<b>b</b>) structure after post-processing; (<b>c</b>) stress distribution for the most stress-concentrated load step.</p>
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<p>Topology optimization result with process stress constraint: (<b>a</b>) optimized MBB beam structure; (<b>b</b>) structure after post-processing; (<b>c</b>) stress distribution for the most stress-concentrated load step; (<b>d</b>) stress distribution for the load case to layer 52.</p>
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<p>CAD models for 3D printing: (<b>a</b>) optimized structure without stress constraint; (<b>b</b>) optimized structure with the P-norm stress upper limit of 2.</p>
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<p>The 3D printing results for (<b>a</b>) the optimized design without P-norm stress constraint; and (<b>b</b>) the optimized design with the P-norm stress limit of 2.</p>
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<p>The 3D printing results for (<b>a</b>) the optimized design without P-norm stress constraint; and (<b>b</b>) the optimized design with the P-norm stress limit of 2.</p>
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<p>The layerwise P-norm stresses for the MBB beam structure optimized under different constraint conditions: (<b>a</b>) using SIMP interpolation; (<b>b</b>) using RAMP interpolation.</p>
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44 pages, 8682 KiB  
Article
Mechanical Characterization of Soft Membranes with One-Shot Projection Moiré and Metaheuristic Optimization
by Antonio Boccaccio, Luciano Lamberti, Lorenzo Santoro and Bartolomeo Trentadue
Appl. Sci. 2023, 13(13), 7758; https://doi.org/10.3390/app13137758 - 30 Jun 2023
Cited by 2 | Viewed by 1257
Abstract
Mechanical characterization of soft materials is a complicated inverse problem that includes nonlinear constitutive behavior and large deformations. A further complication is introduced by the structural inhomogeneity of tested specimens (for example, caused by thickness variations). Optical methods are very useful in mechanical [...] Read more.
Mechanical characterization of soft materials is a complicated inverse problem that includes nonlinear constitutive behavior and large deformations. A further complication is introduced by the structural inhomogeneity of tested specimens (for example, caused by thickness variations). Optical methods are very useful in mechanical characterization of soft matter, as they provide accurate full-field information on displacements, strains and stresses regardless of the magnitude and/or gradients of those quantities. In view of this, the present study describes a novel hybrid framework for mechanical characterization of soft membranes, combining (i) inflation tests and preliminary in-plane equi-biaxial tests, (ii) a one-shot projection moiré optical setup with two symmetric projectors that project cross-gratings onto the inflated membrane, (iii) a mathematical model to extract 3D displacement information from moiré measurements, and (iv) metaheuristic optimization hybridizing harmony search and JAYA algorithms. The use of cross-gratings allows us to determine the surface curvature and precisely reconstruct the shape of the deformed object. Enriching metaheuristic optimization with gradient information and elitist strategies significantly reduces the computational cost of the identification process. The feasibility of the proposed approach wassuccessfully tested on a 100 mm diameter natural rubber membrane that had some degree of anisotropy in mechanical response because of its inhomogeneous thickness distribution. Remarkably, up to 324 hyperelastic constants and thickness parameters can be precisely identified by the proposed framework, reducing computational effort from 15% to 70% with respect to other inverse methods. Full article
(This article belongs to the Special Issue Advances in Characterization of Materials with Optical Methods)
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<p>(<b>a</b>) IMPM optical setup of [<a href="#B34-applsci-13-07758" class="html-bibr">34</a>] combining intrinsic and projection moiré; (<b>b</b>) displacement determination from moiré pattern. (taken from [<a href="#B34-applsci-13-07758" class="html-bibr">34</a>]).</p>
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<p>Determination of the 3D displacement field for an axiallysymmetric deformed membrane subjected to inflation: (<b>a</b>) undeformed configuration; (<b>b</b>) deformed configuration; and (<b>c</b>) deformed profile in the diametrical section X–Z of the inflated membrane.</p>
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<p>Determination of 3D displacement field for a generically deformed membrane subjected to inflation: (<b>a</b>) deformed configuration vs. undeformed configuration; and (<b>b</b>) components of displacement vector for a generic point of the membrane with indication of azimuthal and parallax angles.</p>
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<p>Optical setup of the one-shot projection moiré technique used in the mechanical characterization process of the natural rubber membrane: (<b>a</b>) 3D assembly view; (<b>b</b>) Schematic.</p>
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<p>Typical images recorded by the two-projectors,one-camera IMPM setup conceptually similar to the one-projector, one-camera IMPM setup of [<a href="#B34-applsci-13-07758" class="html-bibr">34</a>]: (<b>a</b>) spatial modulation of printed dot grating on inflated membrane; (<b>b</b>) central region of the multifrequency vertical lines pattern generated by the two projectors; (<b>c</b>) modulation of vertical lines projected on inflated membrane by the right projector; and (<b>d</b>) modulation of vertical lines projected on inflated membrane by the left projector.</p>
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<p>Flow chart of the HS-JAYA algorithm developed in this study.</p>
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<p>Intrinsic moiré setup used for preliminary in-plane biaxial tests (similar to the setup used in [<a href="#B63-applsci-13-07758" class="html-bibr">63</a>]): (<b>a</b>) 3D assembly view; (<b>b</b>) details of loading apparatus; and (<b>c</b>) schematic representation of the load distribution showing the 12 loading directions that correspond to six diameters (etched lines).</p>
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<p>Displacement maps obtained by the proposed one-shot projection moiré setup for the 100 mm diameter natural rubber membrane inflated at the maximum pressure of 2.13 kPa: (<b>a</b>) u-displacement; (<b>b</b>) v-displacement; and (<b>c</b>) w-displacement (with indication of nominal symmetry axes and position of maximum deformation point).</p>
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<p>Comparison of in-plane displacements obtained by the proposed one-shot projection moiré setup and the two-projectors, one-camera IMPM setup for the natural rubber membrane inflated at the maximum pressure of 2.13 kPa: (<b>a</b>) u-displacement; and (<b>b</b>) v-displacement.</p>
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<p>Comparison of out-of-plane displacements obtained by the proposed one-shot projection moiré setup and the two-projectors, one-camera IMPM setup for the natural rubber membrane inflated at the maximum pressure of 2.13 kPa.</p>
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<p>Sectors defined in the solution of the inverse mechanical characterization problem for the 100 mm diameter natural rubber membrane.</p>
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<p>FE model of the 100 mm diameter natural rubber membrane: (<b>a</b>) mesh; and (<b>b</b>) loads and kinematic constraints. The six control paths (corresponding to in-plane loading directions) including thickness measurement locations also are sketched in the figure.</p>
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<p>Distribution of equivalent Young modulus E<sub>MR</sub> = 4(1 + ν)(a<sub>10</sub> + a<sub>01</sub>) averaged over the independent optimization runs of problem variant 1.</p>
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<p>(<b>a</b>) Thickness distribution measured for the 100 mm diameter membrane; (<b>b</b>) distribution of largest magnitude % error on identified thicknesses in problem variant 1 with respect to measured thickness values; and (<b>c</b>) distribution of largest magnitude % error on identified thicknesses in problem variant 2 with respect to measured thickness values.</p>
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<p>Distribution of total displacements (u<sub>tot</sub>) computed by ANSYS<sup>®</sup>: average for the different solutions of problem variants 1, 2 and 3.</p>
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<p>Experimentally measured displacements vs. those computed by ANSYS<sup>®</sup> for the identified material/structural properties in the different variants of problem (35) solved in this study: (<b>a</b>) u-displacement (horizontal diameter, control path 1); (<b>b</b>) v-displacement (vertical diameter, control path 4); (<b>c</b>) w-displacement (horizontal diameter, control path 1); and (<b>d</b>) w-displacement (vertical diameter, control path 4).</p>
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<p>Experimentally measured displacements vs. those computed by ANSYS<sup>®</sup> for the identified material/structural properties in the different variants of problem (35) solved in this study: (<b>a</b>) u-displacement (horizontal diameter, control path 1); (<b>b</b>) v-displacement (vertical diameter, control path 4); (<b>c</b>) w-displacement (horizontal diameter, control path 1); and (<b>d</b>) w-displacement (vertical diameter, control path 4).</p>
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<p>Experimentally measured displacements vs. those computed by ANSYS<sup>®</sup> for the identified material/structural properties in the different variants of problem (35) solved in this study: (<b>a</b>) u-displacement (horizontal diameter, control path 1); (<b>b</b>) v-displacement (vertical diameter, control path 4); (<b>c</b>) w-displacement (horizontal diameter, control path 1); and (<b>d</b>) w-displacement (vertical diameter, control path 4).</p>
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12 pages, 6134 KiB  
Article
A Stable PDLC Film with High Ageing Resistance from an Optimized System Containing Rigid Monomer
by Hongren Chen, Xiao Wang, Jianjun Xu, Wei Hu, Meina Yu, Lanying Zhang, Yong Jiang and Huai Yang
Molecules 2023, 28(4), 1887; https://doi.org/10.3390/molecules28041887 - 16 Feb 2023
Cited by 7 | Viewed by 2460
Abstract
With the switchability between transparent and light-scattering states, polymer-dispersed liquid crystals (PDLC) are widely used as smart windows, flexible display devices, projectors, and other devices. In outdoor applications, in addition to excellent electro-optical properties, there is also a high demand for film stability. [...] Read more.
With the switchability between transparent and light-scattering states, polymer-dispersed liquid crystals (PDLC) are widely used as smart windows, flexible display devices, projectors, and other devices. In outdoor applications, in addition to excellent electro-optical properties, there is also a high demand for film stability. In this work, a PDLC film with high mechanical strength and structural stability is prepared that can maintain stability at 80 °C for 2000 h. By choosing liquid crystals with a wide temperature range, adopting acrylate polymer monomers containing hydroxyl groups, and adjusting the polymer content, the PDLC film can work well from −20 °C to 80 °C. On this basis, the effects of the introduction of rigid monomers on the mechanical properties and electro-optical properties of PDLC films are investigated. Full article
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<p>Microphotography of the morphology of PDLC films with different monomer contents: A1 (30%), A2 (35%), A3 (40%), A4 (45%), and A5 (50%).</p>
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<p>(<b>a</b>) Photograph of the shearing-strength test; (<b>b</b>) shearing-force displacement curves of Samples A1–A5.</p>
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<p>Microphotography of the morphology of PDLC films with different liquid crystals, B1 (SLC-1717), B2 (GXP-6011), and B3 (GXP-6015).</p>
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<p>(<b>a</b>) Transmittance as a function of applied voltage (at 100 Hz frequency); (<b>b</b>) bar graph for threshold voltages (<span class="html-italic">V<sub>th</sub></span>) and saturations voltage (<span class="html-italic">V<sub>sat</sub></span>); (<b>c</b>) contrast ratio (<span class="html-italic">CR</span>) and (<b>d</b>) response time of Samples B1–B3.</p>
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<p>Microphotography of PDLC films with different monomers: C1 (PEGDA 200), C2 (PEGDA 400), C3 (PEGDA 600), C4 (PEGDA 700), and C5 (PEGDA 1000).</p>
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<p>(<b>a</b>) Transmittance as a function of applied voltage (at 100 Hz frequency); (<b>b</b>) bar graph for threshold voltages (<span class="html-italic">V<sub>th</sub></span>) and saturations voltage (<span class="html-italic">V<sub>sat</sub></span>); (<b>c</b>) contrast ratio (<span class="html-italic">CR</span>) and (<b>d</b>) response time of Samples C1–C5.</p>
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<p>Photos of Samples D1–D4.</p>
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<p>SEM photos of PDLC films with different monomer (Bis-EMA15/PEGDA700) content ratios: D1 (1:4), D2 (2:3), D3 (3:2), and D4 (4:1).</p>
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<p>(<b>a</b>) Transmittance as a function of applied voltage (at 100 Hz frequency); (<b>b</b>) bar graph for threshold voltages (<span class="html-italic">V<sub>th</sub></span>) and saturations voltage (<span class="html-italic">V<sub>sat</sub></span>); (<b>c</b>) contrast ratio (<span class="html-italic">CR</span>) and (<b>d</b>) response time of Samples D1–D4.</p>
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<p>(<b>a</b>) Transmittance as a function of applied voltage (at 100 Hz frequency); (<b>b</b>) bar graph for threshold voltages (<span class="html-italic">V<sub>th</sub></span>) and saturations voltage (<span class="html-italic">V<sub>sat</sub></span>) of the PDLC film under different temperature conditions; (<b>c</b>) photo of the PDLC film in the open and closed states of the electric field.</p>
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<p>Chemical structure and properties of the materials used in this work.</p>
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18 pages, 8088 KiB  
Article
An Assessment of Waveform Processing for a Single-Beam Bathymetric LiDAR System (SBLS-1)
by Yifu Chen, Yuan Le, Lin Wu, Shuai Li and Lizhe Wang
Sensors 2022, 22(19), 7681; https://doi.org/10.3390/s22197681 - 10 Oct 2022
Cited by 3 | Viewed by 2330
Abstract
The single-beam bathymetric light detection and ranging (LiDAR) system 1 (SBLS-1), which is equipped with a 532-nm-band laser projector and two concentric-circle receivers for shallow- and deep-water echo signals, is a lightweight and convenient prototype instrument with low energy consumption. In this study, [...] Read more.
The single-beam bathymetric light detection and ranging (LiDAR) system 1 (SBLS-1), which is equipped with a 532-nm-band laser projector and two concentric-circle receivers for shallow- and deep-water echo signals, is a lightweight and convenient prototype instrument with low energy consumption. In this study, a novel LiDAR bathymetric method is utilized to achieve single-beam and dual-channel bathymetric characteristics, and an adaptive extraction method is proposed based on the cumulative standard deviation of the peak and trough, which is mainly used to extract the signal segment and eliminate system and random noise. To adapt the dual-channel bathymetric mechanism, an automatic channel-selection method was used at various water depths. A minimum half-wavelength Gaussian iterative decomposition is proposed to improve the detection accuracy of the surface- and bottom-water waveform components and ensure bathymetric accuracy and reliability. Based on a comparison between the experimental results and in situ data, it was found that the SBLS-1 obtained a bathymetric accuracy and RMSE of 0.27 m and 0.23 m at the Weifang and Qingdao test fields. This indicates that the SBLS-1 was bathymetrically capable of acquiring a reliable, high-efficiency waveform dataset. Hence, the novel LiDAR bathymetric method can effectively achieve high-accuracy near-shore bathymetry. Full article
(This article belongs to the Section Optical Sensors)
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<p>Flow chart of the bathymetric method for SBLS-1.</p>
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<p>Diagram of adaptive waveform extraction from the raw waveform.</p>
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<p>Determination of sigma in the Gaussian filter through the noisy segment. The green line in this figure represents the horizontal line of an invalid waveform after filtering; <span class="html-italic">h<sub>m</sub></span> is the calculated average value of the amplitude of the noisy segment.</p>
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<p>Diagram of the minimum half-wavelength in waveform data. The blue curve represents the signal segment after noise filtering; the red dashed lines denote the temporal position of the peak and half-peak amplitude.</p>
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<p>Waveform decomposition and parameter optimization based on the standard deviation of the left half of the waveform. The dashed red curve is the fitted Gaussian curve; the blue curve indicates the signal segment.</p>
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<p>Waveform decomposition and detection of surface- and bottom-water waveform components.</p>
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<p>Diagram of the optical path structure of SBLS-1.</p>
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<p>(<b>a</b>) Study area locations (green boxes). (<b>b</b>) Image of the equipment platform. (<b>c</b>) Representative image of the water environment in the study areas. (<b>d</b>,<b>e</b>) Measurement trajectories represented by green lines at Qingdao (<b>d</b>) and Weifang (<b>e</b>).</p>
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<p>Extraction of the signal segment. (<b>a</b>) Raw echo waveform. (<b>b</b>) Adaptive extraction of the signal segment. (<b>c</b>) Signal segment after noise elimination.</p>
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<p>Channel selection ratios at various water depths for the test fields at (<b>a</b>) Weifang and (<b>b</b>) Qingdao.</p>
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<p>Waveform decomposition diagrams showing waveform components identified using MHGID. The different waveform components are represented by colored dashed lines. The fitted curve reconstructed through the decomposition waveform components is represented by a black dashed line.</p>
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<p>Distribution trajectory and bathymetric results at the Weifang test field.</p>
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<p>Distribution trajectory and bathymetric results at the Qingdao test field.</p>
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<p>Validation of bathymetric accuracy at the Weifang (<b>a</b>–<b>c</b>) and Qingdao (<b>d</b>–<b>f</b>) test fields.</p>
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17 pages, 8508 KiB  
Article
Development of a Dual-Layer Structure for Cymbal Transducer Arrays to Achieve a Wider Bandwidth
by Jahnavi Mudiyala, Hayeong Shim, Donghyun Kim and Yongrae Roh
Sensors 2022, 22(17), 6614; https://doi.org/10.3390/s22176614 - 1 Sep 2022
Cited by 10 | Viewed by 2106
Abstract
Cymbal transducers are typically grouped and arranged in planar arrays. For projector arrays, a wide bandwidth on the transmitting voltage response (TVR) spectrum is required for better underwater communication and data transmission within a short time. The purpose of this study is to [...] Read more.
Cymbal transducers are typically grouped and arranged in planar arrays. For projector arrays, a wide bandwidth on the transmitting voltage response (TVR) spectrum is required for better underwater communication and data transmission within a short time. The purpose of this study is to develop a wideband cymbal array by controlling the center-to-center (CTC) spacing between the cymbal transducers in the array. In the practical design of the array, due to the arrangement of elements in one layer, the minimum CTC spacing between the cymbals is constrained to the diameter of the cymbals in use. To overcome this limitation, we propose a new dual-layer array structure. Finite element analysis of the cymbal array showed that the bandwidth was generally inversely proportional to the CTC spacing. We explained the mechanism of this relationship using a theoretical analysis of the mutual radiation impedance between the cymbals in the array. Subsequently, we identified the optimum CTC spacing to achieve the widest possible bandwidth for the cymbal array. The validity of the wideband array design was verified through the fabrication and characterization of prototype arrays. We confirmed that the two-layered arrangement could significantly widen the bandwidth of the cymbal array while maintaining the TVR above a specified level. Full article
(This article belongs to the Special Issue Development, Investigation and Application of Acoustic Sensors)
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<p>Finite element model of the cymbal transducer.</p>
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<p>Arrangement of the 3 × 3 cymbal arrays in: (<b>a</b>) one layer; (<b>b</b>) two layers.</p>
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<p>Finite element model of the immersed 3 × 3 cymbal array.</p>
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<p>TVR spectra of the 3 × 3 cymbal array arranged in one-layered and two-layered structures with CTC spacing of 0.23<span class="html-italic">λ</span>, and vertical spacing (VS) from 0.03<span class="html-italic">λ</span> to 0.08<span class="html-italic">λ</span>.</p>
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<p>Effect of CTC spacing on the TVR spectrum of the 3 × 3 two-layered array: (<b>a</b>) for CTC spacing from 0.50<span class="html-italic">λ</span> to 0.32<span class="html-italic">λ</span>; (<b>b</b>) for CTC spacing from 0.28<span class="html-italic">λ</span> to 0.16<span class="html-italic">λ</span>.</p>
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<p>Top view of the 3 × 3 cymbal array.</p>
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<p>Self-radiation impedance of cymbal 1, and mutual radiation impedance between cymbals 1 and 2 for different CTC spacings: (<b>a</b>) 0.2<span class="html-italic">λ</span>; (<b>b</b>) 0.3<span class="html-italic">λ</span>; (<b>c</b>) 0.4<span class="html-italic">λ</span>; (<b>d</b>) 0.5<span class="html-italic">λ</span>.</p>
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<p>TVR spectra of a cymbal transducer with mutual radiation impedance added to the radiation load for different CTC spacings from its adjacent cymbal transducer.</p>
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<p>Self- and mutual radiation impedance of element 1 with its neighboring elements (CTC spacing of 0.5<span class="html-italic">λ</span>): (<b>a</b>) elements 1 and 2; (<b>b</b>) elements 1 and 7; (<b>c</b>) elements 1 and 9.</p>
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<p>Self- and mutual radiation impedance of element 1 with its neighboring elements (CTC spacing of 0.2<span class="html-italic">λ</span>): (<b>a</b>) elements 1 and 2; (<b>b</b>) elements 1 and 7; (<b>c</b>) elements 1 and 9.</p>
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<p>Self-radiation impedance <math display="inline"><semantics> <mrow> <msubsup> <mi>Z</mi> <mn>1</mn> <mi>s</mi> </msubsup> </mrow> </semantics></math> and total mutual radiation impedance <math display="inline"><semantics> <mrow> <msubsup> <mi>Z</mi> <mn>1</mn> <mi>t</mi> </msubsup> </mrow> </semantics></math> of the cymbal 1 transducer for CTC spacings of (<b>a</b>) 0.2<span class="html-italic">λ</span>; (<b>b</b>) 0.5<span class="html-italic">λ</span>.</p>
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<p>TVR spectrum of the two-layered array with CTC spacings of 0.5<span class="html-italic">λ</span> and 0.2<span class="html-italic">λ</span>.</p>
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<p>Acoustic characteristics of the 3 × 3 two-layered cymbal array vs. CTC spacing: (<b>a</b>) FB; (<b>b</b>) peak TVR level.</p>
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<p>FEA data fitted with the fourth-order polynomial curve: (<b>a</b>) fractional bandwidth; (<b>b</b>) peak TVR level.</p>
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<p>Comparison of the TVR spectrum of the one-layered 3 × 3 array with the closest spacing and that of the two-layered array with the optimized CTC spacing.</p>
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<p>Finite element model of the two-layered 3 × 3 array with an aluminum frame.</p>
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<p>TVR spectra of the two-layered cymbal arrays with a frame: (<b>a</b>) 3 × 3 array; (<b>b</b>) 5 × 5 array.</p>
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<p>TVR spectrum of the two-layered 3 × 3 cymbal array with and without a frame.</p>
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<p>Prototypes of the two-layered cymbal arrays: (<b>a</b>) 3 × 3 array; (<b>b</b>) 5 × 5 array.</p>
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<p>Schematic diagram of the experimental setup for TVR measurement.</p>
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<p>Comparison between measured and calculated TVR spectra of the two-layered cymbal arrays: (<b>a</b>) 3 × 3 array; (<b>b</b>) 5 × 5 array.</p>
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15 pages, 4054 KiB  
Article
Role of Oxygen and Fluorine in Passivation of the GaSb(111) Surface Depending on Its Termination
by Alexander V. Bakulin, Lora S. Chumakova, Aleksandr V. Korchuganov and Svetlana E. Kulkova
Crystals 2022, 12(4), 477; https://doi.org/10.3390/cryst12040477 - 30 Mar 2022
Cited by 4 | Viewed by 1947
Abstract
The mechanism of the chemical bonding of oxygen and fluorine on the GaSb(111) surface depending on its termination is studied by the projector augmented-waves method within density functional theory. It is shown that on an unreconstructed (111) surface with a cation termination, the [...] Read more.
The mechanism of the chemical bonding of oxygen and fluorine on the GaSb(111) surface depending on its termination is studied by the projector augmented-waves method within density functional theory. It is shown that on an unreconstructed (111) surface with a cation termination, the adsorption of fluorine leads to the removal of surface states from the band gap. The binding energy of fluorine on the cation-terminated surface in the most preferable Ga-T position is lower by ~0.4 eV than that of oxygen, but it is significantly lower (by ~0.8 eV) on the anion-terminated surface. We demonstrate that the mechanism of chemical bonding of electronegative adsorbates with the surface has an ionic–covalent character. The covalence of the O–Sb bond is higher than the F–Sb one, and it is higher than both O–Ga and F–Ga bonds. Trends in the change in the electronic structure of the GaSb(111) surface upon adsorption of fluorine and oxygen are discussed. It is found that an increase in the oxygen concentration on the Sb-terminated GaSb(111) surface promotes a decrease in the density of surface states in the band gap. Full article
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<p>Atomic structure of bulk semiconductor GaSb (<b>a</b>) and the models of its surfaces under study: the (111)A (<b>b</b>) and (111)B (<b>c</b>). The side view of GaSb(111) surfaces is given.</p>
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<p>Width of the forbidden gap (<span class="html-italic">E</span><sub>g</sub>) in bulk semiconductor GaSb depending on the cutoff radius <span class="html-italic">r</span><sub>cut</sub> and power index <span class="html-italic">n</span> (<b>a</b>); the value of <span class="html-italic">E</span><sub>g</sub> for bulk GaSb (<b>b</b>) and electron band spectra (<b>c</b>,<b>d</b>) obtained by different methods: PAW–PBE–1/2 and PAW–PBE (<b>c</b>), and PAW–PBE–1/2, HSE06, and mBJ (<b>d</b>). Numbers in (<b>b</b>) correspond to underestimation of <span class="html-italic">E</span><sub>g</sub> in calculations. The horizontal dotted line in (<b>a</b>,<b>b</b>) shown the experimental value of the forbidden gap width from [<a href="#B32-crystals-12-00477" class="html-bibr">32</a>].</p>
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<p>Electron energy spectra of the GaSb(111)A (<b>a</b>) and GaSb(111)B (<b>c</b>) surfaces; local density of states for surface atoms and partial charge densities (in the inserts) corresponding to states near the Fermi level (<b>b</b>,<b>d</b>). The horizontal dashed line shows the Fermi level position in the film. The zero energy corresponds to the valence-band maximum in the projection of bulk states shown by gray color fill in (<b>a</b>,<b>c</b>). The surface states localized on surface and subsurface Ga (Sb) atoms in (<b>a</b>,<b>c</b>) are shown by blue (yellow) balls. The larger balls correspond to the higher localization degree.</p>
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<p>Atomic structure of the GaSb(111)<sub>Ga</sub> (<b>a</b>) and GaSb(<math display="inline"><semantics> <mrow> <mover accent="true"> <mn>1</mn> <mo>¯</mo> </mover> <mover accent="true"> <mn>1</mn> <mo>¯</mo> </mover> <mover accent="true"> <mn>1</mn> <mo>¯</mo> </mover> </mrow> </semantics></math>)<sub>Sb</sub> (<b>b</b>) surfaces (top view) and the considered adsorption positions of oxygen (or fluorine).</p>
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<p>Probability of the oxygen (<b>a</b>) and fluorine (<b>b</b>) atom to be adsorbed in specific positions on the GaSb(111)A surface versus temperature. Inset graphs show the differences in probability given at higher temperatures.</p>
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<p>Atomic structure (3D view) and electron energy spectrum in the case of GaSb(111)<sub>Ga</sub> surface with O adatom in Ga-B site (<b>a</b>) and with F adatom in Ga-T site (<b>b</b>). The surface states localized on Ga<sub>1</sub>, Sb<sub>2</sub>, O, and F atoms are shown by blue, yellow, red, and cyan balls, respectively. The denotations of the zero energy, the bulk states, the Fermi level, and the size of balls are the same as in <a href="#crystals-12-00477-f003" class="html-fig">Figure 3</a>.</p>
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<p>Probability of the oxygen (<b>a</b>) and fluorine (<b>b</b>) atom to be adsorbed in specific positions on the GaSb(111)B surface versus temperature. Inset graphs show the differences in probability given at higher temperatures.</p>
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<p>The binding energy (<span class="html-italic">E</span><sub>b</sub>), charge transfer to adatom (Δ<span class="html-italic">Q</span>), and total overlap population (Σ<span class="html-italic">θ</span>) for oxygen in Ga(Sb)-B and fluorine in Ga(Sb)-T positions on both GaSb(111)A and GaSb(111)B surfaces.</p>
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<p>Atomic structure and electron energy spectrum in the case of GaSb(111)B surface with O adatom in Sb-B site (<b>a</b>) and with F adatom in Sb-T site (<b>b</b>). The surface states localized on Sb<sub>1</sub>, Ga<sub>2</sub>, O, and F atoms are shown by yellow, blue, red, and cyan balls, respectively. The denotations of the zero energy, the bulk states, the Fermi level, and the size of balls are the same as in <a href="#crystals-12-00477-f003" class="html-fig">Figure 3</a>.</p>
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<p>Electron energy spectra (<b>a</b>,<b>c</b>) and local density of states of surface atoms (<b>b</b>,<b>d</b>) in the case of GaSb(111)B surface with three O adatoms in Ga-B positions (<b>a</b>,<b>b</b>) and GaSb(111)A surface with three O adatoms in Sb-B positions (<b>c</b>,<b>d</b>). The surface states localized on Ga, Sb, and O atoms are shown by blue, yellow, and red balls, respectively. The denotations of the zero energy, the bulk states, the Fermi level, and the size of balls are the same as in <a href="#crystals-12-00477-f003" class="html-fig">Figure 3</a>.</p>
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13 pages, 2395 KiB  
Article
Effect of Concave Stave on Class I Barrel-Stave Flextensional Transducer
by Duo Teng, Xiaoyong Liu and Feng Gao
Micromachines 2021, 12(10), 1258; https://doi.org/10.3390/mi12101258 - 17 Oct 2021
Cited by 7 | Viewed by 2577
Abstract
To meet the requirements of low frequency, high power, small size and light weight, a type of Class I barrel-stave flextensional transducer employing improved concave stave is presented. As the key component of flextensional transducer, concave stave plays an important role in vibrating [...] Read more.
To meet the requirements of low frequency, high power, small size and light weight, a type of Class I barrel-stave flextensional transducer employing improved concave stave is presented. As the key component of flextensional transducer, concave stave plays an important role in vibrating efficiently to radiate acoustic energy. The structure of concave stave has a great effect on its behavior. In this paper, the main parameters of concave stave are discussed, especially the effect of radius on flextensional transducer. Both concave stave and transducer are analyzed through finite element method, including mechanical transformation behavior of concave stave and performances of flextensional transducer. On the basis of finite element design, five prototypes employing concave staves with different radii are manufactured and measured. The simulations and tests reveal that concave stave can affect performances of flextensional transducer. A larger radius of concave stave will result in a greater amplification of vibration and a lower resonance frequency of transducer. This can be a feasible way to optimize the resonance frequency or source level of flextensional transducer through adjusting the radius of concave stave in a small range. According to the electrical and acoustical tests, our Class I barrel-stave flextensional transducer is capable of being used as underwater low-frequency small-size projector. Full article
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<p>Class I concave barrel-stave flextensional transducer. (<b>a</b>) Sketch of Class I barrel-stave flextensional transducer (BSFT) and its concave stave. (<b>b</b>) Photograph of Class I BSFT without rubber encapsulation.</p>
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<p>Finite element model of Class I concave barrel-stave flextensional transducer. (<b>a</b>) 3/4 model for structure specification; (<b>b</b>) 1/32 symmetrical finite element model in water for solution.</p>
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<p>Vector illustration of vibration of Class I BSFT in water (<span class="html-italic">f</span> = 1.52 kHz, <span class="html-italic">R</span> = 141 mm).</p>
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<p>In-water admittance curves of Class I BSFT employing concave staves with different radii.</p>
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<p>TVR curve of Class I BSFT employing concave staves with different radii.</p>
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<p>Contour plots of vibration displacements of concave staves with different radii (in water).</p>
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<p>Resonance of transducer and amplifications of vibration, <span class="html-italic">A,</span> vs. radius of concave stave (in water).</p>
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<p>Prototypes of Class I BSFTs with different radii of concave staves.</p>
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<p>In-water admittance curves of Class I BSFT when <span class="html-italic">R</span> = 141 mm (obtained from Agilent 4294A).</p>
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<p>Directivity curves of Class I BSFT in water when <span class="html-italic">R</span> = 141 mm, <span class="html-italic">f</span> = 1.52 kHz.</p>
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<p>Implementation of vibration test using optical measurement equipment PDV 100 (in air).</p>
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16 pages, 3389 KiB  
Article
Biofabrication of Cell-Laden Gelatin Methacryloyl Hydrogels with Incorporation of Silanized Hydroxyapatite by Visible Light Projection
by Jimmy Jiun-Ming Su, Chih-Hsin Lin, Hsuan Chen, Shyh-Yuan Lee and Yuan-Min Lin
Polymers 2021, 13(14), 2354; https://doi.org/10.3390/polym13142354 - 18 Jul 2021
Cited by 16 | Viewed by 4038
Abstract
Gelatin methacryloyl (GelMA) hydrogel is a photopolymerizable biomaterial widely used for three-dimensional (3D) cell culture due to its high biocompatibility. However, the drawback of GelMA hydrogel is its poor mechanical properties, which may compromise the feasibility of biofabrication techniques. In this study, a [...] Read more.
Gelatin methacryloyl (GelMA) hydrogel is a photopolymerizable biomaterial widely used for three-dimensional (3D) cell culture due to its high biocompatibility. However, the drawback of GelMA hydrogel is its poor mechanical properties, which may compromise the feasibility of biofabrication techniques. In this study, a cell-laden GelMA composite hydrogel with a combination incorporating silanized hydroxyapatite (Si-HAp) and a simple and harmless visible light crosslinking system for this hydrogel were developed. The incorporation of Si-HAp into the GelMA hydrogel enhanced the mechanical properties of the composite hydrogel. Moreover, the composite hydrogel exhibited low cytotoxicity and promoted the osteogenic gene expression of embedded MG63 cells and Human bone marrow mesenchymal stem cells (hBMSCs). We also established a maskless lithographic method to fabricate a defined 3D structure under visible light by using a digital light processing projector, and the incorporation of Si-HAp increased the resolution of photolithographic hydrogels. The GelMA-Si-HAp composite hydrogel system can serve as an effective biomaterial in bone regeneration. Full article
(This article belongs to the Special Issue Polymer Composite Scaffolds for Tissue Engineering)
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<p>Surface modification of hydroxyapatite. (<b>A</b>) Schematic of the silanization of HAp nanopowder using 3-methacryloxypropyltrimethoxysilane. (<b>B</b>) ATR-FTIR spectra of HAp and Si-HAp. Characteristic peaks, 1: Si-CH<sub>3</sub> (870 cm<sup>−1</sup>), 2: C=O (1638 cm<sup>−1</sup>), 3: C=C (1706 cm<sup>−1</sup>). (<b>C</b>) X-ray photoelectron spectra of HAp (left) and Si-HAp (right). * Si 2p (Si-O) peak, ~104 eV. (<b>D</b>) Scanning electron microscopy images of HAp (left) and Si-HAp (right) particles. magnitude, 50,000×. Scale bar, 100 nm.</p>
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<p>Size of nanoparticle agglomerates and dispersion of hydroxyapatite (HAp) and silanized HAp (Si-HAp) in the gelatin methacrylate (GelMA) solution and composite hydrogels. (<b>A</b>) Particle size analysis of HAp particles in the GelMA solution. Left panel: before sonication, Right panel: after sonication. (<b>B</b>) Quantification of particle size of HAp and Si-HAp with and without ultrasound sonication. mean ± SD µm. *** <span class="html-italic">p</span> &lt; 0.01. (<b>C</b>) MG63 cell-embedded composite gels after 24 h incubation. Arrows indicate the debris of unpolymerized GelMA composite gels. Scale bar, 100 µm. (<b>D</b>) Scanning electron microscopy images of 15% GelMA, 15% GelMA with 3% HAp and 15% GelMA with 3% Si-HAp composite hydrogels. magnitude, 1000×. Scale bar, 1 µm.</p>
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<p>Mechanical properties of cell-free GelMA-HAp and GelMA-Si-HAp composite hydrogels. (<b>A</b>) Schematic representation of the preparation of composite hydrogel constructs. (<b>B</b>) Stress and strain curve of GelMA-HAp (blue) and GelMA-Si-HAp (red) hydrogels (3% fillers). (<b>C</b>) Elastic modulus of GelMA-HAp and GelMA-Si-HAp hydrogels. * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>MG63 cells and human mesenchymal stem cells (MSCs) encapsulation by GelMA composite hydrogels. (<b>A</b>) Live/dead cell viability assay of human MG63 cells and MSCs on day 14. green, calcein AM, red, ethidium homodimer-1. Scale bar, 100 µm. (<b>B</b>) MTT assay of human MG63 cells on day 1, day 7, day 14. (<b>C</b>) MTT assay of human MSCs on day 1, day 7, day 14. (G: 15% GelMA, G1H-G3H: 15% GelMA with 1–3% HAp, G1Si–G3Si: 15% GelMA with 1–3% Si-HAp). *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Gene expression of osteogenic markers in cell-laden GelMA composite hydrogels. (<b>A</b>) The expressions of alkaline phosphatase (ALP), collagen type 1, alpha 1 (COL1A1), osteocalcin (OC), and osteopontin (OPN) in MG63 cell-laden composite hydrogels were quantified by qPCR on day 1 and day 7. Fold change was normalized to the day 1 GelMA group. (<b>B</b>) Four osteogenic markers in MSCs laden composite hydrogels were quantified by qPCR on day 7. MSCs were cultured with growth medium or osteogenic induction medium. Gene expression was normalized to the GelMA group with growth medium. G: 15% GelMA, G3H: 15% GelMA with 3% HAp, G3Si: 15% GelMA with 3% Si-HAp. *** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>GelMA composite hydrogels were fabricated by visible light projection. (<b>A</b>) Schematic of the photolithographic method that was to construct GelMA-based hydrogels with a digital light processing (DLP) projector. (<b>B</b>) 15% cell-free GelMA hydrogel fabricated into the logo of National Yang-Ming University by projection (stained with neutral red). Scale bar, 2mm. Right, the hydrogel was observed through optical microscopy. Scale bar, 100 µm (<b>C</b>) 15% GelMA with 3% HAp and GelMA with 3% Si-HAp composite hydrogels developed using the DLP-based projector for 40 s). Scale bar, 5 mm. (<b>D</b>) Sequential fabrication of GelMA and GelMA-Si-HAp composite hydrogels in a hybrid pattern. Scale bar, 5 mm. (<b>E</b>) Cell viability assay of MSCs encapsulated in hydrogels through photolithography after 6 h and 7 days of incubation. green, calcein AM, red, ethidium homodimer<sup>−1</sup>. Scale bar, 100 µm.</p>
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15 pages, 4608 KiB  
Article
Fabrication and Compressive Behavior of a Micro-Lattice Composite by High Resolution DLP Stereolithography
by Chow Shing Shin and Yu Chia Chang
Polymers 2021, 13(5), 785; https://doi.org/10.3390/polym13050785 - 4 Mar 2021
Cited by 9 | Viewed by 2870
Abstract
Lattice structures are superior to stochastic foams in mechanical properties and are finding increasing applications. Their properties can be tailored in a wide range through adjusting the design and dimensions of the unit cell, changing the constituent materials as well as forming into [...] Read more.
Lattice structures are superior to stochastic foams in mechanical properties and are finding increasing applications. Their properties can be tailored in a wide range through adjusting the design and dimensions of the unit cell, changing the constituent materials as well as forming into hierarchical structures. In order to achieve more levels of hierarchy, the dimensions of the fundamental lattice have to be small enough. Although lattice size of several microns can be fabricated using the two-photon polymerization technique, sophisticated and costly equipment is required. To balance cost and performance, a low-cost high resolution micro-stereolithographic system has been developed in this work based on a commercial digital light processing (DLP) projector. Unit cell lengths as small as 100 μm have been successfully fabricated. Decreasing the unit cell size from 150 to 100 μm increased the compressive stiffness by 26%. Different pretreatments to facilitate the electroless plating of nickel on the lattice structure have been attempted. A pretreatment of dip coating in a graphene suspension is the most successful and increased the strength and stiffness by 5.3 and 3.6 times, respectively. Even a very light and incomplete nickel plating in the interior has increase the structural stiffness and strength by more than twofold. Full article
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<p>The digital light processing (DLP) printing system.</p>
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<p>(<b>a</b>) Top view and (<b>b</b>) side view of the micro-lattice truss unit cell.</p>
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<p>Top view of micro-lattice structures with unit cell length (L) of (<b>a</b>) 150 μm; (<b>b</b>) 130 μm; (<b>c</b>) 100 μm.</p>
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<p>Schematic illustration on the effect of dark curing on the printed dimension of a square section.</p>
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<p>Interior view of the micro-lattice structures with unit cell length L of (<b>a</b>) 150 μm; (<b>b</b>) 130 μm; (<b>c</b>) 100 μm, cut open at about mid-height.</p>
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<p>Top view of the electroless plated micro-lattice structures following pretreatment of (<b>a</b>) dip coating in carbon nanotube; (<b>b</b>) dip coating in graphene; (<b>c</b>) aluminum sputtering; (<b>d</b>) palladium chloride activating.</p>
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<p>Loading-unloading traces of the micro-lattice structures with unit cell length L of (<b>a</b>) 150 μm; (<b>b</b>) 130 μm; (<b>c</b>) 100 μm.</p>
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<p>Comparison of the loading-unloading traces of the micro-lattice structures with different unit cell lengths.</p>
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<p>Comparison of the loading-unloading traces of the 130 μm micro-lattice structures with different plating treatments.</p>
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<p>Compressive load-displacement relations to failure of the micro-lattice structures with different unit cell lengths.</p>
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<p>Fracture surface appearance of the 130 μm micro-lattice structure after compressive failure.</p>
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<p>Compressive load-displacement relations to failure of the 130-μm micro-lattice structures with different plating treatments.</p>
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19 pages, 5721 KiB  
Article
Density Functional Theory Study of Optical and Electronic Properties of (TiO2)n=5,8,68 Clusters for Application in Solar Cells
by Ife Fortunate Elegbeleye, Nnditshedzeni Eric Maluta and Rapela Regina Maphanga
Molecules 2021, 26(4), 955; https://doi.org/10.3390/molecules26040955 - 11 Feb 2021
Cited by 8 | Viewed by 3481
Abstract
A range of solution-processed organic and hybrid organic−inorganic solar cells, such as dye-sensitized and bulk heterojunction organic solar cells have been intensely developed recently. TiO2 is widely employed as electron transporting material in nanostructured TiO2 perovskite-sensitized solar cells and semiconductor in [...] Read more.
A range of solution-processed organic and hybrid organic−inorganic solar cells, such as dye-sensitized and bulk heterojunction organic solar cells have been intensely developed recently. TiO2 is widely employed as electron transporting material in nanostructured TiO2 perovskite-sensitized solar cells and semiconductor in dye-sensitized solar cells. Understanding the optical and electronic mechanisms that govern charge separation, transport and recombination in these devices will enhance their current conversion efficiencies under illumination to sunlight. In this work, density functional theory with Perdew-Burke Ernzerhof (PBE) functional approach was used to explore the optical and electronic properties of three modeled TiO2 brookite clusters, (TiO2)n=5,8,68. The simulated optical absorption spectra for (TiO2)5 and (TiO2)8 clusters show excitation around 200–400 nm, with (TiO2)8 cluster showing higher absorbance than the corresponding (TiO2)5 cluster. The density of states and the projected density of states of the clusters were computed using Grid-base Projector Augmented Wave (GPAW) and PBE exchange correlation functional in a bid to further understand their electronic structure. The density of states spectra reveal surface valence and conduction bands separated by a band gap of 1.10, 2.31, and 1.37 eV for (TiO2)5, (TiO2)8, and (TiO2)68 clusters, respectively. Adsorption of croconate dyes onto the cluster shifted the absorption peaks to higher wavelengths. Full article
(This article belongs to the Special Issue Recent Advances in Dye-Sensitized Solar Cells)
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<p>UV/Vis absorption spectrum for (TiO<sub>2</sub>)<sub>5</sub> and (TiO<sub>2</sub>)<sub>8</sub> brookite cluster. The wavelengths were folded by Gaussians of <math display="inline"><semantics> <mrow> <msub> <mi>e</mi> <mrow> <mi>m</mi> <mi>i</mi> <mi>n</mi> </mrow> </msub> <mo>=</mo> <mn>100</mn> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mi>e</mi> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> </msub> <mo>=</mo> <mn>1200</mn> </mrow> </semantics></math> nm width. The <span class="html-italic">y</span>-axis is folded oscillator strength (1/nm).</p>
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<p>TDOS (<b>a</b>) and the projected DOS (<b>b</b>) for (TiO<sub>2</sub>)<sub>5</sub> nanocluster with the orange line representing titanium atom contributions and blue line representing oxygen contributions for PDOS.</p>
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<p>TDOS (<b>a</b>) and the projected DOS (<b>b</b>) for (TiO<sub>2</sub>)<sub>8</sub> nanocluster with the orange line representing titanium atom contributions and the blue line representing oxygen contributions for PDOS.</p>
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<p>TDOS (<b>a</b>) and the projected DOS (<b>b</b>) for (TiO<sub>2</sub>)<sub>68</sub> nanocluster with the orange line representing titanium atom contributions and the blue line representing oxygen contributions for PDOS.</p>
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<p>Simulated UV/Vis absorption spectrum of CR1 and CR2 absorbed on (TiO<sub>2</sub>)<sub>5</sub> brookite cluster. The oscillator strengths were folded by Gaussians of <span class="html-italic">e<sub>min</sub></span> = 100, <span class="html-italic">e<sub>max</sub></span> = 1200 nm width. The <span class="html-italic">y</span>-axis is folded oscillator strength (1/nm).</p>
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<p>Simulated UV/Vis absorption spectrum of CR1 and CR2 absorbed on (TiO<sub>2</sub>)<sub>8</sub> brookite. The oscillator strengths were folded by Gaussians of <span class="html-italic">e<sub>min</sub></span> = 100, <span class="html-italic">e<sub>max</sub></span> = 1200 nm width. The <span class="html-italic">y</span>-axis is folded oscillator strength (1/nm).</p>
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<p>Isodensity surfaces of the molecular orbitals of (<b>a</b>) HOMO of CR1-(TiO<sub>2</sub>)<sub>5</sub> brookite cluster, (<b>b</b>) LUMO of CR1-(TiO<sub>2</sub>)<sub>5</sub> brookite cluster, (<b>c</b>) HOMO of CR2-(TiO<sub>2</sub>)<sub>5</sub> brookite cluster, (<b>d</b>) LUMO of CR2-(TiO<sub>2</sub>)<sub>5</sub> brookite cluster.</p>
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<p>Isodensity surfaces of the molecular orbitals of (<b>a</b>) HOMO of CR1-(TiO<sub>2</sub>)<sub>8</sub> brookite cluster, (<b>b</b>) LUMO of CR1-(TiO<sub>2</sub>)<sub>8</sub> brookite cluster, (<b>c</b>) HOMO of CR2-(TiO<sub>2</sub>)<sub>8</sub> brookite cluster, (<b>d</b>) LUMO of CR2-(TiO<sub>2</sub>)<sub>8</sub> brookite cluster.</p>
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<p>Isodensity surfaces of the molecular orbitals of (<b>a</b>) HOMO of CR1-(TiO<sub>2</sub>)<sub>68</sub> brookite cluster, (<b>b</b>) LUMO of CR1-(TiO<sub>2</sub>)<sub>68</sub> brookite cluster, (<b>c</b>) HOMO of CR2-(TiO<sub>2</sub>)<sub>68</sub> brookite cluster, (<b>d</b>) LUMO of CR2-(TiO<sub>2</sub>)<sub>68</sub> brookite cluster.</p>
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<p>Total density of states and projected density of state spectra of croconate dyes adsorbed on (TiO<sub>2</sub>)<sub>5</sub> nanocluster (<b>a</b>) CR1-(TiO<sub>2</sub>)<sub>5</sub> DOS and PDOS (<b>b</b>) CR2-(TiO<sub>2</sub>)<sub>5</sub> DOS and PDOS.</p>
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<p>Total density of states and projected density of state spectra of croconate dyes adsorbed on (TiO<sub>2</sub>)<sub>5</sub> nanocluster (<b>a</b>) CR1-(TiO<sub>2</sub>)<sub>5</sub> DOS and PDOS (<b>b</b>) CR2-(TiO<sub>2</sub>)<sub>5</sub> DOS and PDOS.</p>
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<p>Total density of states and projected density of state spectra of croconate dyes adsorbed on (TiO<sub>2</sub>)<sub>8</sub> nanocluster (<b>a</b>) CR1-(TiO<sub>2</sub>)<sub>8</sub> DOS and PDOS (<b>b</b>) CR2-(TiO<sub>2</sub>)<sub>8</sub> DOS and PDOS.</p>
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<p>Total density of states and projected density of state spectra of croconate dyes adsorbed on (TiO<sub>2</sub>)<sub>8</sub> nanocluster (<b>a</b>) CR1-(TiO<sub>2</sub>)<sub>8</sub> DOS and PDOS (<b>b</b>) CR2-(TiO<sub>2</sub>)<sub>8</sub> DOS and PDOS.</p>
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<p>Total density of states and projected density of state spectra of croconate dyes adsorbed on (TiO<sub>2</sub>)<sub>8</sub> nanocluster (<b>a</b>) CR1-(TiO<sub>2</sub>)<sub>8</sub> DOS and PDOS (<b>b</b>) CR2-(TiO<sub>2</sub>)<sub>8</sub> DOS and PDOS.</p>
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<p>Total density of states and projected density of state spectra of croconate dyes adsorbed on (TiO<sub>2</sub>)<sub>8</sub> nanocluster (<b>a</b>) CR1-(TiO<sub>2</sub>)<sub>8</sub> DOS and PDOS (<b>b</b>) CR2-(TiO<sub>2</sub>)<sub>8</sub> DOS and PDOS.</p>
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13 pages, 4684 KiB  
Article
Finite Element Solutions for Magnetic Field Problems in Terfenol-D Transducers
by Duo Teng and Yatian Li
Sensors 2020, 20(10), 2808; https://doi.org/10.3390/s20102808 - 15 May 2020
Cited by 19 | Viewed by 4373
Abstract
An appropriate magnetic design helps ensure that the Terfenol-D (Terbium- Dysprosium-Iron alloy) rods in giant magnetostrictive transducers have the perfect magnetostriction ability. To determine the optimum Terfenol-D rod state, a segmented stack configuration comprised by the Terfenol-D rods and NdFeB (neodymium-iron-boron) permanent magnets [...] Read more.
An appropriate magnetic design helps ensure that the Terfenol-D (Terbium- Dysprosium-Iron alloy) rods in giant magnetostrictive transducers have the perfect magnetostriction ability. To determine the optimum Terfenol-D rod state, a segmented stack configuration comprised by the Terfenol-D rods and NdFeB (neodymium-iron-boron) permanent magnets is presented. The bias magnetic field distributions simulated through the finite element method indicate that the segmented stack configuration is one effective way to produce the desired bias magnetic field. Particularly for long stacks, establishing a majority of domain to satisfy the desired bias magnetic field range is feasible. On the other hand, the eddy current losses of Terfenol-D rods are also the crucial to their magnetostriction ability. To reduce eddy current losses, the configuration with digital slots in the Terfenol-D rods is presented. The induced eddy currents and the losses are estimated. The simulations reveal that the digital slots configuration decreases the eddy current losses by 78.5% compared to the same size Terfenol-D rod with only a hole. A Terfenol-D transducer prototype has been manufactured using a Terfenol-D rod with a mechanical prestress of about 10 MPa and a bias magnetic field of about 42 kA/m. Its maximum transmitting current response of 185.4 dB at 3.75 kHz indicates its practicability for application as an underwater projector. Full article
(This article belongs to the Special Issue Magnetoelectric Sensors: Theory, Design and Application)
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<p>Schematic diagram of a Terfenol-D transducer.</p>
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<p>Stacked core of the Terfenol-D transducer and the finite element model of the magnetic circuit. (<b>a</b>) The segmented stack; (<b>b</b>) the finite element model.</p>
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<p>The nonlinear B-H curve of the electromagnetism pure iron used as magnetic return path.</p>
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<p>Segmented stack configuration and the finite element simulations. (<b>a</b>) The configuration; (<b>b</b>) the Bias Magnetic Field Intensity (MFI) distribution; (<b>c</b>) the Flux distribution.</p>
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<p>Nonsegmented configuration and the finite element simulations. (<b>a</b>) The configuration; (<b>b</b>) the Bias Magnetic Field Intensity (MFI) distribution; (<b>c</b>) the Flux distribution.</p>
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<p>DC driving coil configuration and the finite element simulation. (<b>a</b>) The configuration; (<b>b</b>) the Bias Magnetic Field Intensity (MFI) distribution; (<b>c</b>) the Flux distribution.</p>
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<p>Bias magnetic field distribution within the Terfenol-D rod for three configurations.</p>
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<p>The Terfenol-D rod with digital slots.</p>
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<p>The eddy current distribution for three different rod shapes. (<b>a</b>) Rod with digital slots; (<b>b</b>) rod with a single slot; (<b>c</b>) rod with a hole.</p>
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<p>The Terfenol-D transducer prototype.</p>
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<p>The impedance curves of the Terfenol-D transducer in water (obtained via Agilent 4294A).</p>
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