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19 pages, 7180 KiB  
Article
Self-Excited Oscillating Cavitation Jet Combined with Fenton’s Reagent for Tetracycline Degradation in Water: Optimization of Geometric Structure and Operating Parameters
by Jian Wang, Chang Yang, Yanqing Wang, Mingzhan Zhu, Jingfeng Sun, Bin Ji and Shiwei Xie
Water 2025, 17(5), 742; https://doi.org/10.3390/w17050742 - 3 Mar 2025
Viewed by 228
Abstract
This study utilizes a novel self-excited oscillatory hydrodynamic cavitation (HC) device for tetracycline degradation. The effects of key parameters, including cavity length, inlet-to-outlet diameter ratio, and operational conditions (inlet pressure of 0.3–0.8 MPa), as well as the initial tetracycline concentration (5.0–20.0 mg/L) and [...] Read more.
This study utilizes a novel self-excited oscillatory hydrodynamic cavitation (HC) device for tetracycline degradation. The effects of key parameters, including cavity length, inlet-to-outlet diameter ratio, and operational conditions (inlet pressure of 0.3–0.8 MPa), as well as the initial tetracycline concentration (5.0–20.0 mg/L) and the addition of common inorganic anions, on tetracycline degradation are systematically explored. The results show that the self-excited oscillating hydrodynamic cavitator, with a cavity length of 23.0 mm and an inlet-to-outlet diameter ratio of 0.75 (inlet diameter: 3.0 mm; outlet diameter: 4.0 mm), generates a strong HC effect. Under an inlet pressure of 0.5 MPa and an initial tetracycline concentration of 10.0 mg/L, the degradation rate reaches 51.32 ± 0.56%. The three common inorganic anions, CO32−, NO3, and SO42−, all inhibit tetracycline degradation. The addition of Fenton’s reagent further enhances the degradation efficiency of tetracycline via hydrodynamic cavitation. The optimal molar ratio of Fenton’s reagent (TC:Fe2+:H2O2 = 1:1:10) is determined, resulting in a tetracycline degradation rate of 85.91 ± 0.29% after 120 min of reaction. The self-excited oscillatory hydrodynamic cavitator proposed in this study offers a simple structure, high reliability, and improved degradation efficiency, providing a novel approach to antibiotic treatment. Full article
(This article belongs to the Section Wastewater Treatment and Reuse)
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Figure 1
<p>(<b>a</b>) Schematic diagram of the experimental device; (<b>b</b>) Schematic diagram of the self-excited oscillator.</p>
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<p>(<b>a</b>) Degradation rate of TC under different cavity lengths; (<b>b</b>) First-order kinetic curve under different cavity lengths (V = 5.0 L, C<sub>0</sub> = 10.0 mg/L, P<sub>inlet</sub> = 0.5 MPa).</p>
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<p>(<b>a</b>) Degradation rate of TC under different inlet and outlet diameters; (<b>b</b>) First-order kinetics of different inlet and outlet diameters (V = 5.0 L, C<sub>0</sub> = 10.0 mg/L, P<sub>inlet</sub> = 0.5 MPa).</p>
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<p>(<b>a</b>) Degradation rate of TC at different inlet pressures; (<b>b</b>) First-order kinetics at different inlet pressures (V = 5.0 L, C<sub>0</sub> = 10.0 mg/L).</p>
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<p>(<b>a</b>) Degradation rate of TC at different initial concentrations; (<b>b</b>) First-order kinetics at different initial concentrations (V = 5.0 L, P<sub>inlet</sub> = 0.5 MPa).</p>
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<p>Degradation rate of TC under different quencher agents (V = 5.0 L, C<sub>0</sub> = 10.0 mg/L, P<sub>inlet</sub> = 0.5 MPa).</p>
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<p>TC-degradation pathway prediction.</p>
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<p>Influence of inorganic anions on TC degradation rate (V = 5.0 L, C<sub>0</sub> = 10.0 mg/L, P<sub>inlet</sub> = 0.5 MPa).</p>
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<p>Degradation rate of TC in different water quality (V = 5.0 L, C<sub>0</sub> = 10.0 mg/L, P<sub>inlet</sub> = 0.5 MPa).</p>
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<p>(<b>a</b>) The pressure contours; (<b>b</b>) The vapor volume fraction contours; (<b>c</b>) The turbulent kinetic energy contours.</p>
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<p>(<b>a</b>) Degradation rate of TC in the three systems; (<b>b</b>) First-order kinetics of the three systems (V = 5.0 L, C<sub>0</sub> = 10.0 mg/L, P<sub>inlet</sub> = 0.5 MPa).</p>
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<p>(<b>a</b>) Degradation rate of TC in different Fe<sup>2+</sup>/H<sub>2</sub>O<sub>2</sub> molar ratio; (<b>b</b>) First-order kinetics of different Fe<sup>2+</sup>/H<sub>2</sub>O<sub>2</sub> molar ratio (V = 5.0 L, C<sub>0</sub> = 10.0 mg/L, P<sub>inlet</sub> = 0.5 MPa).</p>
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<p>(<b>a</b>) Degradation rate of TC at the different added amounts of H<sub>2</sub>O<sub>2</sub>, Fe<sup>2+</sup>; (<b>b</b>) First-order kinetics of different added amounts of H<sub>2</sub>O<sub>2</sub>, Fe<sup>2+</sup> (V = 5.0 L, C<sub>0</sub> = 10.0 mg/L, P<sub>inlet</sub> = 0.5 MPa).</p>
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25 pages, 7996 KiB  
Article
Research on the Cavitation Characteristics of Pump Turbines Based on Mode Decomposition
by Jiaxing Lu, Jiarui Li, Chuan Zhang, Yuzhuo Zhou and Yanjun He
Processes 2025, 13(3), 732; https://doi.org/10.3390/pr13030732 - 3 Mar 2025
Viewed by 215
Abstract
The cavitation phenomenon significantly impacts the performance of pump turbines, necessitating in-depth research on their cavitation characteristics. This study investigates the performance characteristics of a pump turbine through experimental and numerical simulation methods, with consistent results verifying the accuracy of the numerical simulations. [...] Read more.
The cavitation phenomenon significantly impacts the performance of pump turbines, necessitating in-depth research on their cavitation characteristics. This study investigates the performance characteristics of a pump turbine through experimental and numerical simulation methods, with consistent results verifying the accuracy of the numerical simulations. The cavitation flow field is numerically analyzed to compare the cavitation distribution and velocity streamlines at different stages of cavitation development. The Q criterion and entropy production method are employed to identify vortex structures and energy loss regions, respectively, exploring the correlation between vortices and energy losses in the cavitation flow field under low-flow pump conditions. The results demonstrate that intensified cavitation generates more multi-scale vortices in the flow field, leading to increased entropy production and reduced energy efficiency. Proper orthogonal decomposition (POD) and dynamic mode decomposition (DMD) methods were subsequently applied to extract vorticity characteristics from transient cavitation flow fields, revealing primary energy loss regions and elucidating the evolution and distribution patterns of vortices. The POD analysis shows that low-order modes represent dominant vortex structures, while intensified cavitation increases both the quantity of vortices and their complexity in scale, distribution, and evolutionary frequency. The DMD results further indicate distinct evolutionary patterns for vortices of different scales. This research provides insights into the instability characteristics of cavitation flow fields in pump turbines under low-flow pump conditions and offers theoretical support for optimizing the design of pump turbines to expand their high-efficiency operational range. Full article
(This article belongs to the Special Issue CFD Applications in Renewable Energy Systems)
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<p>Model pump turbine structure diagram.</p>
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<p>Experimental technology roadmap.</p>
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<p>Calculation model and grid diagram.</p>
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<p>Calculation plane.</p>
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<p>Q-H.</p>
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<p>σ-H.</p>
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<p>The total volume of the vapor.</p>
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<p>The vapor iso-surface of 10% vapor fraction.</p>
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<p>Velocity streamline of cavitation flow field at 0.6 Q<sub>d</sub>.</p>
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<p>Velocity streamline of cavitation flow field at Q<sub>d</sub>.</p>
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<p>Distribution of vorticity and entropy production.</p>
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<p>Evolution of vortices in Plane A-1.</p>
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<p>Evolution of vortices in Plane A-2.</p>
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<p>POD mode energy contribution diagram.</p>
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<p>Time mode coefficient time and frequency diagram.</p>
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<p>The distribution of the first eight POD modes.</p>
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<p>Eigenvalue distribution.</p>
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<p>DMD frequency spectral diagram.</p>
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<p>DMD mode distribution.</p>
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20 pages, 1971 KiB  
Article
Enhanced Sugar Yield from Enzymatic Hydrolysis of Cellulignin from Sugarcane Bagasse Using a Biosurfactant and Soybean Protein in Powdered and Cavitated Forms
by Alain Monsalve Mera, Salvador Sánchez Muñoz, Felipe A. Fernandes Antunes, Júlio C. dos Santos and Silvio Silvério da Silva
Fermentation 2025, 11(3), 114; https://doi.org/10.3390/fermentation11030114 - 28 Feb 2025
Viewed by 214
Abstract
The enzymatic hydrolysis of lignocellulosic biomass is often hindered by lignin, which acts as a physical barrier and promotes non-productive enzyme adsorption. This study evaluated the potential of soybean protein in powdered and cavitated forms, along with lactonic sophorolipid biosurfactant (LSLB), to enhance [...] Read more.
The enzymatic hydrolysis of lignocellulosic biomass is often hindered by lignin, which acts as a physical barrier and promotes non-productive enzyme adsorption. This study evaluated the potential of soybean protein in powdered and cavitated forms, along with lactonic sophorolipid biosurfactant (LSLB), to enhance sugar yields from cellulignin derived from sugarcane bagasse, a residue with a high lignin content. A Box–Behnken design was used to investigate the effects of enzyme loading (10–20 FPU/g cellulignin), soybean protein powder (10–30% w/w of dried cellulignin), and LSLB concentration (25–250 mg/L) on glucose and xylose yields. Hydrodynamic cavitation was employed to produce soluble soybean protein, achieving a solubility yield of 44.4% w/w in 10 min. The cavitated protein was compared with powdered protein to assess its impact on enzymatic hydrolysis efficiency. The results showed that hydrodynamic cavitation reduced the required SBP dosage while maintaining sugar yields, allowing 10% w/w of dried cellulignin cavitated SBP to achieve glucose and xylose yields comparable to 25% w/w of dried cellulignin non-cavitated SBP. Specifically, glucose yield increased by 24.92% (from 34.1% ± 1.01 to 42.6% ± 1.4), and xylose yield by 30.86% (from 32.4% ± 0.53 to 42.4% ± 2.21) compared to the no-additive condition. These improvements were linked to enhanced solubility, increased surface area, and reduced particle size in the cavitated protein. This study highlights hydrodynamic cavitation as a novel approach for modifying soybean protein structure to optimize enzymatic hydrolysis in lignocellulosic bioconversion. Full article
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Figure 1
<p>Effect of variables on glucose yield during enzymatic hydrolysis: (<b>A</b>) Enzyme concentration vs. soybean protein powder concentration, with a constant biosurfactant concentration of 140 mg/L; (<b>B</b>) enzyme loading vs. biosurfactant concentration, with a constant soybean protein concentration of 20% (<span class="html-italic">w</span>/<span class="html-italic">v</span>); (<b>C</b>) biosurfactant concentration vs. soybean protein powder concentration, with a constant enzyme loading of 15 FPU/g of dried cellulignin.</p>
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<p>Effect of variables on xylose yield during enzymatic hydrolysis. (<b>A</b>) Enzyme concentration vs. soybean protein powder concentration, with a constant biosurfactant concentration of 140 mg/L. (<b>B</b>) enzyme loading vs. biosurfactant concentration, with a constant soybean protein concentration of 20% (<span class="html-italic">w</span>/<span class="html-italic">v</span>). (<b>C</b>) biosurfactant concentration vs. soybean protein powder concentration, with a constant enzyme loading of 15 FPU/g.</p>
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<p>Time-dependent sugar yields during enzymatic hydrolysis at 15 FPU/g of dried cellulignin. Different letters indicate statistically significant differences (<span class="html-italic">p</span> &lt; 0.05) based on Tukey’s post hoc test. (<b>A</b>) Glucose yield over time with and without additives (25% SBP and 25 mg/mL biosurfactant). (<b>B</b>) Xylose yield over time with and without additives (25% SBP and 25 mg/mL biosurfactant).</p>
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<p>Yield of soluble soybean protein from powdered soybean protein: (<b>A</b>) using hydrodynamic cavitation; (<b>B</b>) soluble protein released during gentle agitation, reflecting its natural solubility. In <a href="#fermentation-11-00114-f004" class="html-fig">Figure 4</a>A, the X-axis represents the initial concentration of soybean protein powder added to the system (g/L), while the Y-axis represents the yield of soluble soybean protein (% <span class="html-italic">w</span>/<span class="html-italic">w</span>), calculated as the ratio of the soluble protein concentration in the supernatant to the initial soybean protein powder concentration. Different letters in <a href="#fermentation-11-00114-f004" class="html-fig">Figure 4</a>A denote statistically significant differences (<span class="html-italic">p</span> &lt; 0.05) based on Tukey’s post hoc test. In <a href="#fermentation-11-00114-f004" class="html-fig">Figure 4</a>B, the left Y-axis represents the same yield (% <span class="html-italic">w</span>/<span class="html-italic">w</span>), while the right Y-axis represents the absolute concentration of soluble soybean protein (g/L).</p>
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<p>Sugar yield over time of enzymatic hydrolysis by type of soybean protein additive (cavited versus non-cavitated soybean protein): (<b>A</b>) glucose yield and (<b>B</b>) xylose yield comparing cavitated and powdered soybean protein as additives. Tukey’s post hoc test letters indicate significant differences at a 95% confidence level across hydrolysis times.</p>
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21 pages, 50829 KiB  
Article
Strengthening the Cavitation Resistance of Cylinder Liners Using Surface Treatment with Electroless Ni-P (ENP) Plating and High-Temperature Heat Treatment
by Wenjuan Zhang, Hao Gao, Qianting Wang, Dong Liu and Enlai Zhang
Materials 2025, 18(5), 1087; https://doi.org/10.3390/ma18051087 - 28 Feb 2025
Viewed by 180
Abstract
As internal combustion engines (ICEs) develop towards higher explosion pressures and lower weights, their structures need to be more compact; thus, the wall thickness of their cylinder liners is reducing. However, intense vibrations in the cylinder liner can lead to coolant cavitation and, [...] Read more.
As internal combustion engines (ICEs) develop towards higher explosion pressures and lower weights, their structures need to be more compact; thus, the wall thickness of their cylinder liners is reducing. However, intense vibrations in the cylinder liner can lead to coolant cavitation and, in severe cases, penetration of the liner, posing a significant reliability issue for ICEs. Therefore, research on cylinder liner cavitation has attracted increasing interest. Gray cast iron is widely used in cylinder liners for its hardness and wear resistance; however, additional surface plating is necessary to improve cavitation resistance. This study developed a novel surface-modification technology using electroless Ni-P plating combined with high-temperature heat treatment to create cylinder liners with refined grains, low weight loss rate, and high hardness. The heat-treatment temperature ranged from 100 to 600 °C. An ultrasonic cavitation tester was used to simulate severe cavitation conditions, and we analyzed and compared Ni-P-plated and heat-treated Ni-P-plated surfaces. The findings showed that the combination of Ni-P plating with high-temperature heat treatment led to smoother, more refined surface grains and the formation of cellular granular structures. After heat treatment, the plating structure converted from amorphous to crystalline. From 100 to 600 °C, the weight loss of specimens was within the range of 0.162% to 0.573%, and the weight loss (80.2% lower than the plated surface) and weight loss rate at 600 °C were the smallest. Additionally, cavitation resistance improved by 80.1%. The microhardness of the heat-treated plated surface reached 895 HV at 600 °C, constituting a 306 HV (65.8%) increase compared with that of the unplated surface, and a 560 HV increase compared with that of the maximum hardness of the plated surface without heat treatment of 335 HV, with an enhancement rate of 62.6%. Full article
(This article belongs to the Special Issue Research on Performance Improvement of Advanced Alloys)
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Figure 1
<p>Vibration of piston cylinder liner causes coolant pressure fluctuation and bubble formation.</p>
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<p>Unplated cylinder liner cavitation location and plated cylinder liner specimen location dimensions: (<b>a</b>) unplated cavitation, (<b>b</b>) ENP plated specimen location and geometry.</p>
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<p>Ultrasonic cavitation test device: (<b>a</b>) Schematic diagram of the test device; (<b>b</b>) Partial enlargement.</p>
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<p>The surface topography of the unplated specimens after cavitation testing: (<b>a</b>) 50×, (<b>b</b>) 100×, (<b>c</b>) 500×.</p>
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<p>The energy spectra of the uncavitated and cavitated regions of the unplated specimens: (<b>a</b>) region without cavitation, (<b>b</b>) cavitation region.</p>
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<p>SEM of Ni-P plating in plated state and after heat treatment, (<b>a</b>) plated state, (<b>b</b>) 200 °C, (<b>c</b>) 300 °C.</p>
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<p>EDS of Ni-P plating in plated state.</p>
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<p>SEM of cavitation of Ni-P plated specimens without heat-treatment; (<b>a</b>) initial cavitation pit; (<b>b</b>) cavitation pits connection; (<b>c</b>) cavitation pit size; (<b>d</b>) cavitation cracks.</p>
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<p>Metallographic microstructure of the Ni-P plated section without heat treatment: (<b>a</b>) cavitation in the plated section, (<b>b</b>) cavitation penetrating the plating.</p>
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<p>SEM of cavitation of Ni-P-plated after different heat treatments: (<b>a</b>) 100, (<b>b</b>) 200, (<b>c</b>) 300, (<b>d</b>) 400, (<b>e</b>) 500, and (<b>f</b>) 600 °C.</p>
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<p>EDS and percentages of elemental compositions of plated layers at different temperatures, (<b>a</b>) EDS, (<b>b</b>) 100 °C, (<b>c</b>) 200 °C, (<b>d</b>) 300 °C, (<b>e</b>) 400 °C, (<b>f</b>) 500 °C, (<b>g</b>) 600 °C.</p>
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<p>Variation in the weight loss and weight loss rate of plated cylinder liner with different temperature heat treatments.</p>
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<p>Comparison of hardness of heat-treated Ni-P plated and unplated specimens.</p>
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<p>Effect of phosphorus content heat treatment time on the hardness of plated layer [<a href="#B65-materials-18-01087" class="html-bibr">65</a>].</p>
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36 pages, 2718 KiB  
Article
Modeling and Reliability Evaluation of the Motion and Fluid Flow Characteristics of Spark Bubbles in a Tube
by Yuxin Gou, Dongyan Shi and Jiuqiang Wang
Appl. Sci. 2025, 15(5), 2569; https://doi.org/10.3390/app15052569 - 27 Feb 2025
Viewed by 215
Abstract
Bubbles in pipes are widely present in marine engineering, transmission, and fluid systems with complex environments. This paper divides tubes into short, longer, and long tubes due to different lengths. In short tubes, the formation, development, and stability of spark bubbles are deeply [...] Read more.
Bubbles in pipes are widely present in marine engineering, transmission, and fluid systems with complex environments. This paper divides tubes into short, longer, and long tubes due to different lengths. In short tubes, the formation, development, and stability of spark bubbles are deeply analyzed through numerical simulation and experimental measurement, and the morphology and period of vortex rings generated in the surrounding fluid are studied. The results show that bubbles in tubes are significantly elongated compared with those in free fields. Changing the parameters of tubes can affect the size and oscillation speed of vortex rings. Secondary cavitation is found in asymmetric positions in longer tubes. The conditions, positions, and periods of multiple secondary cavitations are summarized in a series of experiments on long tubes. It is found that bubbles in tubes are related to the γt and γL tube parameters. More secondary cavitation is easily generated in thinner and longer tubes. In addition, the pumping effect brought about by the movement of bubbles in tubes is studied. By designing reasonable tube parameters, the life cycle of bubbles can be changed, and the pumping efficiency can be improved. This study provides important theoretical support for the reliability of the movement of bubbles and surrounding fluid in tubes and lays a foundation for the optimization and promotion of this technology in practical applications. Full article
(This article belongs to the Special Issue Data-Enhanced Engineering Structural Integrity Assessment and Design)
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Figure 1
<p>Images of experiments studying bubbles in a confined area: (<b>a</b>) Between the two boards, (<b>b</b>) In a ridid tube, (<b>c</b>) In a soft tube.</p>
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<p>(<b>a</b>) Schematic diagram of the cavitation experiment in a tube; (<b>b</b>) schematic diagram of the bubble generation bracket; (<b>c</b>) Position of camera and light.</p>
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<p>Schematic diagram of experimental cavitation parameters in a tube.</p>
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<p>(<b>a</b>) Experimental results in a tube; (<b>b</b>) Abaqus numerical simulation results.</p>
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<p>Images of a bubble in a tube under the conditions of <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.5</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>0.685</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>6.85</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>10</mn> </mrow> </semantics></math>.</p>
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<p>Images of a bubble in a tube under the conditions of <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.5</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>0.548</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>6.85</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>12.5</mn> </mrow> </semantics></math> (The red circle shows the flow direction in the edge of the tube).</p>
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<p>Images of a bubble in a tube under the conditions of <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.2</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>0.685</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>6.85</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>10</mn> </mrow> </semantics></math>.</p>
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<p>Image of a bubble in a tube under the conditions of <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.3</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>0.685</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>6.85</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>10</mn> </mrow> </semantics></math>.</p>
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<p>Images of a bubble in a tube under the conditions of <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.2</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>0.411</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>6.85</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>16.67</mn> </mrow> </semantics></math>.</p>
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<p>(<b>a</b>,<b>c</b>,<b>d</b>) Pressures at the initial bubble positions of <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.5</mn> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.2</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.3</mn> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>0.685</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>6.85</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>10</mn> </mrow> </semantics></math>; (<b>b</b>) pressures at the initial bubble positions of <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.5</mn> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>0.411</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>6.85</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>16.67</mn> </mrow> </semantics></math>.</p>
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<p>The pressure on the center line and wall generatrix of the circular tube under working conditions of <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.5</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>0.685</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>6.85</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>10</mn> </mrow> </semantics></math> (ABCDEF are the moments of typical bubble shapes, and (<b>a</b>)–(<b>d</b>) are the pressure states at these moments.).</p>
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<p>The surrounding liquid pressure and velocity under the conditions of <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.5</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>0.685</mn> <mo>,</mo> <mo> </mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>6.85</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>10</mn> </mrow> </semantics></math> (<b>a</b>) Pressure, (<b>b</b>) velocity.</p>
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<p>Schematic diagram of vortex ring parameters.</p>
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<p>Images of multiple vortex ring periods under the conditions of <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.2</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>0.685</mn> <mo>,</mo> <mo> </mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>6.85</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>10</mn> </mrow> </semantics></math>.</p>
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<p>(<b>a</b>) Vortex ring displacement–time relationship; (<b>b</b>) vortex ring thickness–time relationship.</p>
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<p>Radial oscillation of the dimensionless thickness of the vortex ring.</p>
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<p>Bubble morphology under the conditions of <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.5</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>0.411</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>13.70</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>33.33</mn> </mrow> </semantics></math>.</p>
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<p>Bubble morphology under the conditions of <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.2</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>0.411</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>13.70</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>33.33</mn> </mrow> </semantics></math>.</p>
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<p>Bubble morphology under the conditions of <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.2</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>1.37</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>13.70</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>10</mn> </mrow> </semantics></math>.</p>
Full article ">Figure 20
<p>Bubble morphology under the conditions of <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.2</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>1.37</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>13.70</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>6.67</mn> </mrow> </semantics></math>.</p>
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<p>Figure of bubble morphology under the conditions of <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.2</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>3.42</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>13.70</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>4</mn> </mrow> </semantics></math>.</p>
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<p>Bubble morphology under the conditions of <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.1</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>0.68</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>13.70</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>20</mn> </mrow> </semantics></math>.</p>
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<p>Bubble morphology under the conditions of <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.3</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>0.68</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>13.70</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>20</mn> </mrow> </semantics></math>.</p>
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<p>Bubble morphology under the conditions of <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.4</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>0.68</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>13.70</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>20</mn> </mrow> </semantics></math>.</p>
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<p>Secondary cavitation position compared with data from Ji [<a href="#B16-applsci-15-02569" class="html-bibr">16</a>] (initial bubble position: <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.2</mn> </mrow> </semantics></math>).</p>
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<p>Secondary cavitation deformation process: (<b>a</b>) <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.2</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>1.37</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>13.70</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>10</mn> </mrow> </semantics></math>; (<b>b</b>) <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.2</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>2.05</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>13.70</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>6.67</mn> </mrow> </semantics></math>; (<b>c</b>) <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.1</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>0.685</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>13.70</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>10</mn> </mrow> </semantics></math>; (<b>d</b>) <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.1</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>1.37</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>13.70</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>10</mn> </mrow> </semantics></math>.</p>
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<p>Locations of multiple secondary cavitations under several typical working conditions.</p>
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<p>Bubble morphology under the conditions of <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.5</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>0.548</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>27.40</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>50</mn> </mrow> </semantics></math>.</p>
Full article ">Figure 29
<p>Bubble morphology under the conditions of <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.5</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>2.05</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>27.40</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>13.33</mn> </mrow> </semantics></math>.</p>
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<p>Bubble morphology under the conditions of <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.1</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>2.05</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>27.40</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>13.33</mn> </mrow> </semantics></math>.</p>
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<p>Bubble morphology under the conditions of <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.2</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>2.05</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>27.40</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>13.33</mn> </mrow> </semantics></math>.</p>
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<p>Bubble morphology under the conditions of <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.3</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>2.05</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>27.40</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>13.33</mn> </mrow> </semantics></math>.</p>
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<p>Bubble morphology under the conditions of <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.4</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>2.05</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>27.40</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>13.33</mn> </mrow> </semantics></math>.</p>
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<p>Boundary conditions for the occurrence of secondary cavitation (<b>a</b>) Relationship between tube length to tube diameter ratio and secondary cavitation difference, (<b>b</b>) Relationship between bubble generation location and bubble size and secondary cavitation.</p>
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<p>Multiple secondary cavitation deformation under the conditions of <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.5</mn> <mo>,</mo> <mo> </mo> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>2.05</mn> <mo>,</mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>27.40</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>13.33</mn> </mrow> </semantics></math> (The red upper triangle is the left edge of the cavitation, and the blue lower triangle is the right edge of the cavitation).</p>
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<p>Multiple secondary cavitation deformation under the conditions of <math display="inline"><semantics> <mrow> <msub> <mi>γ</mi> <mi>t</mi> </msub> <mo>=</mo> <mn>2.05</mn> <mo>,</mo> <mo> </mo> <msub> <mi>γ</mi> <mi>L</mi> </msub> <mo>=</mo> <mn>27.40</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Λ</mi> <mo>=</mo> <mn>13.33</mn> </mrow> </semantics></math>: (<b>a</b>) <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.1</mn> </mrow> </semantics></math>; (<b>b</b>) <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.2</mn> </mrow> </semantics></math>; (<b>c</b>) <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.3</mn> </mrow> </semantics></math>; (<b>d</b>) <math display="inline"><semantics> <mrow> <msub> <mi>η</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>0.4</mn> </mrow> </semantics></math>.</p>
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<p>(<b>a</b>) The center position of the first secondary cavitation; (<b>b</b>) the length of the first secondary cavitation.</p>
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<p>(<b>a</b>–<b>c</b>) The relationship between the initial bubble cycle and the first secondary cavitation cycle; (<b>d</b>–<b>f</b>) the relationship between the first secondary cavitation cycle and the second secondary cavitation cycle.</p>
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<p>(<b>a</b>) The relationship between the secondary cavitation period and the relative diameter of the circular tube; (<b>b</b>) the relationship between the secondary cavitation period and the relative length of the circular tube.</p>
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<p>Schematic diagram of pumping of bubbles moving in a tube.</p>
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<p>Relationship between secondary cavitation pumping speed and circular tube parameters. (<b>a</b>,<b>b</b>) <math display="inline"><semantics> <mrow> <msub> <mi>D</mi> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> </msub> <mo>=</mo> <mn>18.6</mn> </mrow> </semantics></math>; (<b>c</b>,<b>d</b>) <math display="inline"><semantics> <mrow> <msub> <mi>D</mi> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> </msub> <mo>=</mo> <mn>29.2</mn> </mrow> </semantics></math>.</p>
Full article ">
15 pages, 16118 KiB  
Article
Hysteresis-Induced Onset and Progressive Decay of Periodic and Metastable Sheet Cavitation in a Chamfered Circular Orifice
by Min Son, Michael Börner, Wolfgang Armbruster and Justin S. Hardi
Fluids 2025, 10(3), 59; https://doi.org/10.3390/fluids10030059 - 26 Feb 2025
Viewed by 240
Abstract
This study investigates the onset and decay mechanisms of sheet cavitation within a chamfered orifice under turbulent conditions, using high-speed backlight imaging for detailed frame-by-frame analysis. A distinctive metastable sheet cavitation regime was identified, distinguished by its unique hysteresis behavior during onset conditions, [...] Read more.
This study investigates the onset and decay mechanisms of sheet cavitation within a chamfered orifice under turbulent conditions, using high-speed backlight imaging for detailed frame-by-frame analysis. A distinctive metastable sheet cavitation regime was identified, distinguished by its unique hysteresis behavior during onset conditions, with the ability to control periodicity through variations in cavitation numbers. This new sheet cavitation regime appears at high cavitation numbers, contrary to typical expectations of cavitation inception, highlighting a new potential risk within the range of safe operation for hydraulic systems equipped with control valves. Furthermore, linear growth and rapid collapse of the bubble sheet were observed, which differs from the conventional periodic behavior of sheet cavitation on hydrofoils. The new mechanism to intentionally initiate and control this sheet cavitation regime by manipulating the pressure drop across the orifice could potentially be adopted for industrial applications, particularly in the generation of controlled and dispersed bubbles. Future research should include quantifying bubble dynamics within this regime and assessing the effects of fluid properties and orifice geometries on cavitation characteristics. In summary, this study introduces a new perspective on metastable sheet cavitation, emphasizing its potential applications and importance in the design and operation of fluid systems. Full article
(This article belongs to the Special Issue Cavitation and Bubble Dynamics)
Show Figures

Figure 1

Figure 1
<p>Experimental setup for flow visualization and data acquisition.</p>
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<p>Dimensions of internal geometries of the flow path.</p>
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<p>Cavitation regime based on orifice pressure drops.</p>
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<p>Visualized cloud cavitation as the pressure drop increases [<a href="#B16-fluids-10-00059" class="html-bibr">16</a>].</p>
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<p>Onset mechanism of stable sheet cavitation: (<b>a</b>) a schematic of the corresponding procedure, (<b>b</b>) visualized cavitation onset, and (<b>c</b>) sequential onset steps through <b>A</b>-<b>C</b>-<b>D</b> in cross-sectional views at the orifice inlet.</p>
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<p>Snapshots of the maximum bubble lengths at various flow conditions.</p>
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<p>Comparison of cloud and sheet cavitation: (<b>a</b>) captured images and (<b>b</b>) schematics of cavitation structures.</p>
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<p>Sequential snapshots of sheet cavitation at <math display="inline"><semantics> <mrow> <mi>d</mi> <mi>P</mi> <mo>=</mo> <mn>0.8</mn> </mrow> </semantics></math> bar and <math display="inline"><semantics> <mrow> <mi>R</mi> <mi>e</mi> <mo>=</mo> <mn>3.22</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>4</mn> </msup> </mrow> </semantics></math>.</p>
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<p>Measured bubble sheet lengths in a cycle at <math display="inline"><semantics> <mrow> <mi>d</mi> <mi>P</mi> <mo>=</mo> <mn>0.8</mn> </mrow> </semantics></math> bar and <math display="inline"><semantics> <mrow> <mi>R</mi> <mi>e</mi> <mo>=</mo> <mn>3.22</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>4</mn> </msup> </mrow> </semantics></math>.</p>
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<p>Close-up of the orifice at decaying moment at <math display="inline"><semantics> <mrow> <mi>d</mi> <mi>P</mi> <mo>=</mo> <mn>0.8</mn> </mrow> </semantics></math> bar and <math display="inline"><semantics> <mrow> <mi>R</mi> <mi>e</mi> <mo>=</mo> <mn>3.22</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>4</mn> </msup> </mrow> </semantics></math> (<a href="#app1-fluids-10-00059" class="html-app">Video S1</a>).</p>
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<p>The maximum and minimum sheet lengths during cyclic growth and decay according to Reynolds numbers. The lengths are normalized by the orifice length (<math display="inline"><semantics> <mrow> <msub> <mi>L</mi> <mi>o</mi> </msub> <mo>=</mo> <mn>2.5</mn> </mrow> </semantics></math> mm), except for the chamfer length.</p>
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<p>Decay sequence of sheet cavitation at <math display="inline"><semantics> <mrow> <mi>d</mi> <mi>P</mi> <mo>=</mo> <mn>0.4</mn> </mrow> </semantics></math> bar and <math display="inline"><semantics> <mrow> <mi>R</mi> <mi>e</mi> <mo>=</mo> <mn>2.13</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>4</mn> </msup> </mrow> </semantics></math>.</p>
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<p>Growth and decay rates of bubble sheets according to Reynolds numbers.</p>
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<p>Comparison of downstream bubbles after the start of the decay process.</p>
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<p>Schematic of bubble sheet generation inside the recirculation zone.</p>
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24 pages, 15927 KiB  
Article
Research on Energy Dissipation Mechanism of Hump Characteristics Based on Entropy Generation and Coupling Excitation Mechanism of Internal Vortex Structure of Waterjet Pump at Hump Region
by Min Liu, Yun Long, Hong Yin, Chenbiao Tian and Jinqing Zhong
J. Mar. Sci. Eng. 2025, 13(3), 442; https://doi.org/10.3390/jmse13030442 - 26 Feb 2025
Viewed by 222
Abstract
High-speed mixed-flow and axial-flow pumps often exhibit hump or double-hump patterns in flow–head curves. Operating in the hump region can cause flow disturbances, increased vibration, and noise in pumps and systems. Variable-speed ship navigation requires waterjet propulsion pumps to adjust speeds. Speed transitions [...] Read more.
High-speed mixed-flow and axial-flow pumps often exhibit hump or double-hump patterns in flow–head curves. Operating in the hump region can cause flow disturbances, increased vibration, and noise in pumps and systems. Variable-speed ship navigation requires waterjet propulsion pumps to adjust speeds. Speed transitions can lead pumps into the hump region, impacting efficient and quiet operation. This paper focuses on mixed-flow waterjet propulsion pumps with guide vanes. Energy, entropy production, and flow characteristic analyses investigate hump formation and internal flow properties. High-speed photography in cavitation experiments focuses on increased vibration and noise in the hump region. This study shows that in hump formation, impeller work capacity decreases less than internal fluid loss in the pump. These factors lead to an abnormal increase in the energy curve. The impeller blades show higher pressure at peak conditions than in valley conditions. Valley conditions show more pressure and velocity distribution variance in impeller flow passages, with notable low-pressure areas. This research aids in understanding pump hump phenomena, addressing flow disturbances, vibration, noise, and supporting design optimization. Full article
(This article belongs to the Section Ocean Engineering)
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<p>Schematic diagram of waterjet propulsion pump structure.</p>
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<p>Diagram of hump phenomenon.</p>
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<p>The effect of the hump region on the hydrodynamic performance of the pump [<a href="#B16-jmse-13-00442" class="html-bibr">16</a>,<a href="#B17-jmse-13-00442" class="html-bibr">17</a>,<a href="#B18-jmse-13-00442" class="html-bibr">18</a>,<a href="#B19-jmse-13-00442" class="html-bibr">19</a>].</p>
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<p>Components of the test model pump.</p>
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<p>Schematic of axial- or mixed-flow pump test loop [<a href="#B20-jmse-13-00442" class="html-bibr">20</a>].</p>
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<p>Installation diagram of the test pump section.</p>
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<p>Test site for the model pump.</p>
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<p>Numerical simulation results of two computational fluid domain schemes [<a href="#B21-jmse-13-00442" class="html-bibr">21</a>].</p>
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<p>Computational grid.</p>
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<p>Local grids of hydraulic components.</p>
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<p>Composition of grid numbers for different schemes and their CFD results [<a href="#B22-jmse-13-00442" class="html-bibr">22</a>].</p>
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<p>Analysis of energy characteristic curves. (<b>a</b>) Energy coefficient curve. (<b>b</b>) Slope change of energy coefficient curve. (<b>c</b>) Deflection change. (<b>d</b>) Variation of deflection contribution factor.</p>
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<p>Analysis of energy characteristic curves. (<b>a</b>) Energy coefficient curve. (<b>b</b>) Slope change of energy coefficient curve. (<b>c</b>) Deflection change. (<b>d</b>) Variation of deflection contribution factor.</p>
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<p>Analysis of energy characteristic curves in the hump region. (<b>a</b>) The slope change of the energy coefficient curve in the hump region. (<b>b</b>) The variation of the deflection contribution factor in the hump region.</p>
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<p>Distribution of entropy generation in pump.</p>
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<p>Distribution of entropy generation in pump.</p>
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<p>The average load distribution in different spans.</p>
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<p>Pressure fluctuations of different blades of the impeller under valley operating condition.</p>
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<p>Pressure fluctuations of different blades of the impeller under peak operating condition.</p>
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<p>The pressure distribution under valley operating and peak operating conditions.</p>
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<p>Streamline distribution of inside the pump under valley and peak operating conditions.</p>
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<p>The axial cross-section streamline distribution under valley operating and peak operating conditions.</p>
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<p>The pressure distribution within the impeller at span = 0.7 under valley operating conditions.</p>
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<p>The cavitation flow structure and its evolution law under the critical cavitation stage in the near valley operating condition.</p>
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<p>The cavitation flow structure and its evolution law under the critical cavitation stage in the near peak operating condition.</p>
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13 pages, 4804 KiB  
Article
Cavitation Erosion of Protective Coating Based on Cordierite Filler and Epoxy Matrix
by Marko Pavlović, Marina Dojčinović, Jasmina Nikolić, Stanko Aleksić, Nedeljko Tucović, Zoran Čeganjac and Saša Drmanić
Materials 2025, 18(5), 1034; https://doi.org/10.3390/ma18051034 - 26 Feb 2025
Viewed by 188
Abstract
The goal of this study is to investigate the surface morphology changes induced by the cavitation erosion of a coating based on cordierite with an epoxy matrix for an aluminum substrate. The literature review shows a certain lack of knowledge regarding the coating’s [...] Read more.
The goal of this study is to investigate the surface morphology changes induced by the cavitation erosion of a coating based on cordierite with an epoxy matrix for an aluminum substrate. The literature review shows a certain lack of knowledge regarding the coating’s resistance to wearing induced by water flow, which is a highly important property of the material immersed in or in contact with water streams. The main idea behind the investigation is that such a protective coating will also improve the cavitation erosion resistance of metal substrates. The protective coatings were based on cordierite filler (88 wt.%) and epoxy resin (7 wt.%). The filler, made of a mixture of kaolin, alumina, and talc, is obtained by a sintering procedure that took place at 1350 °C. X-ray diffraction analysis and scanning electron microscopy were employed in the characterization of the produced filler. The adherence of the obtained epoxy-based protective coating and resistance to water flow were tested by the ultrasonic vibration method (i.e., cavitation erosion testing). Scanning electron microscopy was used for analysis of the coating’s morphology upon cavitation erosion. Based on the value of the cavitation erosion rate and the analyzed final surface damage, it was assessed that the investigated protective coating is resistant to cavitation erosion. Full article
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<p>X-ray diffractogram of synthesized cordierite filler.</p>
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<p>SEM microphotograph of synthesized cordierite filler.</p>
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<p>Grain size distribution of the synthetized cordierite filler.</p>
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<p>Grain shape factor distribution of the synthetized cordierite filler.</p>
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<p>Photographs of the coated surface after cavitation erosion for the following durations: (<b>a</b>) 0; (<b>b</b>) 15; (<b>c</b>) 30; (<b>d</b>) 45; and (<b>e</b>) 60 min.</p>
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<p>Cavitation erosion rate of the protective coating based on cordierite.</p>
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<p>SEM microphotographs of the surfaces of the tested coating based on cordierite, before and after 60 min of exposure.</p>
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16 pages, 4337 KiB  
Article
Innovative Methods for Intensifying the Processing of Zinc Clinker: Synergy of Microwave Treatment and Ultrasonic Leaching
by Bagdaulet Kenzhaliyev, Tatiana Surkova, Ainur Berkinbayeva, Zhazira Baltabekova, Kenzhegali Smailov, Yerkezhan Abikak, Shynar Saulebekkyzy, Nazerke Tolegenova, Tursynkul Omirbek and Zamzagul Dosymbaeva
Metals 2025, 15(3), 246; https://doi.org/10.3390/met15030246 - 25 Feb 2025
Viewed by 293
Abstract
This study presents an innovative approach to processing refractory zinc-bearing clinker through the synergistic application of microwave thermal treatment and ultrasonic-assisted leaching. Microwave irradiation induces phase transformations in the clinker, improving its reactivity and facilitating subsequent zinc dissolution, while ultrasonic cavitation enhances mass [...] Read more.
This study presents an innovative approach to processing refractory zinc-bearing clinker through the synergistic application of microwave thermal treatment and ultrasonic-assisted leaching. Microwave irradiation induces phase transformations in the clinker, improving its reactivity and facilitating subsequent zinc dissolution, while ultrasonic cavitation enhances mass transfer by disrupting passivation layers. Key process parameters, including acid concentration, temperature, pulp density, and leaching time, were systematically investigated using response surface methodology (RSM) and central composite design (CCD). The results demonstrate that the optimized process conditions led to a significant increase in zinc recovery from refractory materials. Full article
(This article belongs to the Special Issue Advances in Mineral Processing and Hydrometallurgy—3rd Edition)
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<p>A flow diagram of the experiment.</p>
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<p>Schematic diagram of the leaching experimental setup. The lower part of the figure illustrates the ultrasonic probe and the cavitation effect, where microbubbles collapse, generating localized high pressure and temperature, which enhances the leaching efficiency.</p>
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<p>Sphalerite.</p>
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<p>Diffractogram of the clinker (reprinted from Ref. [<a href="#B49-metals-15-00246" class="html-bibr">49</a>]).</p>
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<p>(<b>a</b>) Microstructure of the initial sample and energy-dispersive analysis of sphalerite prior to microwave irradiation at 25 °C; (<b>b</b>,<b>c</b>) microstructure and energy-dispersive analysis of sphalerite after microwave irradiation at 600 °C for 3–4 min; (<b>d</b>) microstructure and energy-dispersive analysis of sphalerite after microwave irradiation at 600 °C for 5–7 min.</p>
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<p>(<b>a</b>) A plot of normal probability vs. the internally studentized residuals, (<b>b</b>) internally studentized residuals vs. the predicted responses, (<b>c</b>) internally studentized residuals vs. run number, and (<b>d</b>) predicted responses vs. the actual values.</p>
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<p>Three-dimensional response surfaces (with other parameters maintained at their central levels), illustrating the combined effects of B and A (<b>a</b>); D and A (<b>b</b>); D and B (<b>c</b>) (A—leaching duration, B—sulfuric acid concentration, D—temperature).</p>
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<p>Ultrasonic cavitation.</p>
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<p>The effect of ultrasound on clinker leaching.</p>
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19 pages, 11629 KiB  
Article
Efficient Removal of Impurities from Refractory Oolitic Magnetite Concentrate via High-Pressure Alkaline Leaching and Ultrasonic Acid Leaching Process
by Mengjie Hu, Deqing Zhu, Jian Pan, Zhengqi Guo, Congcong Yang, Siwei Li and Wen Cao
Minerals 2025, 15(3), 220; https://doi.org/10.3390/min15030220 - 24 Feb 2025
Viewed by 133
Abstract
Acid leaching is an effective method for dephosphorization; however, it is time-consuming and requires a high amount of acid consumption, resulting in increased production costs and environmental risks. This work aims to remove silicon, aluminum, and phosphorus from high-phosphorus oolitic magnetite concentrate through [...] Read more.
Acid leaching is an effective method for dephosphorization; however, it is time-consuming and requires a high amount of acid consumption, resulting in increased production costs and environmental risks. This work aims to remove silicon, aluminum, and phosphorus from high-phosphorus oolitic magnetite concentrate through high-pressure alkaline leaching and ultrasonic acid leaching. Compared with traditional acid leaching processes, the sulfuric acid dosage can be significantly reduced from 200 kg/t to 100 kg/t, and the pickling time is shortened from 60 min to 10 min. Thermodynamic and kinetic studies have demonstrated that acid leaching facilitates apatite dissolution at low temperatures, whereas the dephosphorization reaction is controlled mainly by diffusion. The application of ultrasonic waves leads to finer particle sizes and greatly increased specific surface areas, thereby accelerating the diffusion rate of the leaching agent. Furthermore, microscopic analysis revealed that under the influence of ultrasonic waves, numerous micro-fragments and pores form on particle surfaces due to cavitation effects and mechanical forces generated by ultrasonic waves. These factors promote both the reaction rates and diffusion processes of the leaching agent while enhancing the overall leaching efficiency. Full article
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Graphical abstract

Graphical abstract
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<p>Characterizations of oolitic magnetite concentrate particles. (<b>a</b>) Laser size distribution; (<b>b</b>) XRD pattern; (<b>c</b>) SEM-EDS image; (<b>d</b>) the original oolitic hematite ore.</p>
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<p>Schematic diagram of high-pressure alkaline leaching combined with the ultrasonic acid leaching process.</p>
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<p>Eh-pH diagrams of the P-Ca-H<sub>2</sub>O system at different temperatures. (<b>a</b>) 25 °C; (<b>b</b>) 45 °C; (<b>c</b>) 75 °C; (<b>d</b>) 95 °C.</p>
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<p>Equilibrium thermodynamics of the reactions of Ca<sub>3</sub>(PO<sub>4</sub>)<sub>2</sub> with acidic solutions at different temperatures. (<b>a</b>) Gibbs free energy change; (<b>b</b>) chemical equilibrium constant; (<b>c</b>) enthalpy change; (<b>d</b>) entropy change.</p>
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<p>Effect of the ultrasonic-assisted acid leaching process on the final concentrate. (<b>a</b>) Leaching time; (<b>b</b>) dosage of H<sub>2</sub>SO<sub>4</sub>; (<b>c</b>) leaching temperature; (<b>d</b>) slurry during the acid leaching process.</p>
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<p>Effects of the ultrasonic leaching temperature and leaching time on the dephosphorization rate: (<b>a</b>) traditional acid leaching process; (<b>b</b>) ultrasonic acid leaching process.</p>
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<p>Fitting curves of chemical reaction control and diffusion control. (<b>a</b>) Linear fitting of chemical reaction control in the initial 10 min leaching process; (<b>b</b>) linear fitting of chemical reaction control from the 10 min to 40 min leaching process; (<b>c</b>) linear fitting of diffusion control during the initial 10 min leaching process; (<b>d</b>) linear fitting of diffusion control from the 10 min to 40 min leaching process.</p>
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<p>Arrhenius plots of the two control models. (<b>a</b>) Linear fitting of chemical reaction control during the initial 10 min leaching process; (<b>b</b>) linear fitting of chemical reaction control from the 10 min to 40 min leaching process; (<b>c</b>) linear fitting of diffusion control during the initial 10 min leaching process; (<b>d</b>) linear fitting of diffusion control from the 10 min to 40 min leaching process.</p>
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<p>Particle size, specific surface area, and phase transition of concentrate under different leaching processes. (<b>a</b>,<b>b</b>) Particle size; (<b>c</b>) specific surface area; (<b>d</b>) XRD pattern.</p>
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<p>SEM micromorphology of the concentrates. (<b>a</b>) Concentrate of I; (<b>b</b>) concentrate of II; (<b>c</b>) concentrate of III.</p>
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<p>SEM-EDS analysis of the concentrates. (<b>a</b>) Concentrate of I; (<b>b</b>) concentrate of II; (<b>c</b>) concentrate of III.</p>
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<p>Schematic diagram of the reaction mechanism of high-pressure alkali leaching combined with ultrasonic acid leaching.</p>
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19 pages, 7805 KiB  
Article
Design and Test of a Cavitation Water Jet Net Box Cleaning Device Based on Ansys Fluent
by Yuke Xiong, Qingsong Xue, Kuo Li, Lei Bao, Zhixuan Fu, Zibo Liu and Hanbing Zhang
Water 2025, 17(4), 589; https://doi.org/10.3390/w17040589 - 18 Feb 2025
Viewed by 223
Abstract
This study addresses the issue of biofouling on marine aquaculture cages, where organisms like algae and purple mussels negatively impact both the safety of the aquaculture environment and the integrity of the cages. To solve this problem, the paper introduces a cage cleaning [...] Read more.
This study addresses the issue of biofouling on marine aquaculture cages, where organisms like algae and purple mussels negatively impact both the safety of the aquaculture environment and the integrity of the cages. To solve this problem, the paper introduces a cage cleaning device based on the cavitation jet principle. Using finite volume simulation software, the cavitation process of the device’s nozzle was modeled, with the gas-phase volume fraction used as the evaluation metric. Key experimental factors, such as the second section throat contraction angle, second section throat radius, and end diffusion angle, were analyzed through single-factor and quadratic regression orthogonal experiments to assess their effect on the cavitation performance. The optimal combination of nozzle parameters was determined to be a second section throat contraction angle of 41.047°, a second section throat radius of 0.834 mm, and an end diffusion angle of 35.495°. Under these conditions, the gas-phase volume fraction reached 0.941, indicating optimal cavitation performance. To validate these findings and further optimize the nozzle’s operational parameters, a nozzle cavitation test bench was constructed. Test results demonstrated that when the target distance was set at 15 mm and the angle at 20°, the surface roughness and maximum surface depth of the target were 6.215 μm and 22.030 μm, respectively, with the nozzle exhibiting the best cavitation effect at these settings. This nozzle design meets the requirements for efficient mesh cleaning, and the research provides valuable insights for future development and optimization of cleaning devices for aquaculture net cages. Full article
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<p>Current situation of net cage aquaculture: (<b>a</b>) HDPE cage structure; (<b>b</b>) net attachment.</p>
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<p>Schematic diagram of cavitation process inside the nozzle.</p>
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<p>Structure diagram of cleaning device: (<b>a</b>) front view; (<b>b</b>) top view.</p>
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<p>Key component structure diagram: (<b>a</b>) two-stage nozzle; (<b>b</b>) cleaning blade; (<b>c</b>) brush block.</p>
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<p>Structural diagram of two-stage nozzle.</p>
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<p>Mesh generation of nozzle model.</p>
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<p>Nozzle cavitation performance test bench: (<b>a</b>) schematic diagram of cavitation performance test bench; (<b>b</b>) photograph of cavitation performance test bench.</p>
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<p>Surface roughness measurement process.</p>
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<p>Cavitation target and microscopic image at 500× magnification.</p>
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<p>The influence of grid size on flow velocity at monitoring points.</p>
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<p>The influence of iteration times on axial flow velocity.</p>
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<p>Single-factor simulation test results (<b>a</b>) Cloud map of gas-phase volume fraction at 30° end diffusion angle; (<b>b</b>) influence of end diffusion angle on gas-phase volume fraction; (<b>c</b>) comparison of maximum gas-phase volume fraction at different end diffusion angles; (<b>d</b>) 0.8 mm second section throat radius gas-phase volume fraction cloud map; (<b>e</b>) influence of the radius of the second throat on the gas-phase volume fraction; (<b>f</b>) Comparison of maximum gas phase volume fraction of different second throat radius; (<b>g</b>) cloud map of gas-phase volume integral for 40° second section throat contraction angle; (<b>h</b>) influence of the contraction angle of the second throat on the gas-phase volume fraction; (<b>i</b>) Comparison of maximum gas-phase volume fraction at different second throat contraction angles.</p>
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<p>Single-factor simulation test results (<b>a</b>) Cloud map of gas-phase volume fraction at 30° end diffusion angle; (<b>b</b>) influence of end diffusion angle on gas-phase volume fraction; (<b>c</b>) comparison of maximum gas-phase volume fraction at different end diffusion angles; (<b>d</b>) 0.8 mm second section throat radius gas-phase volume fraction cloud map; (<b>e</b>) influence of the radius of the second throat on the gas-phase volume fraction; (<b>f</b>) Comparison of maximum gas phase volume fraction of different second throat radius; (<b>g</b>) cloud map of gas-phase volume integral for 40° second section throat contraction angle; (<b>h</b>) influence of the contraction angle of the second throat on the gas-phase volume fraction; (<b>i</b>) Comparison of maximum gas-phase volume fraction at different second throat contraction angles.</p>
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<p>Response surface diagram of nozzle cavitation simulation: (<b>a</b>) interaction between radius and diffusion angle; (<b>b</b>) interaction between contraction angle and diffusion angle; (<b>c</b>) interaction between contraction angle and diffusion angle.</p>
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<p>Cavitation effect diagram of target with different parameters.</p>
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<p>Bench test results: (<b>a</b>) influence of angle and target on surface roughness; (<b>b</b>) influence of angle and target on maximum depression depth.</p>
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11 pages, 4227 KiB  
Article
Numerical Study of Perforated Plate Balanced Flowmeter Performance for Liquid Hydrogen
by Feng Zhao, Jingcheng Song, Shiyao Peng and Xiaobin Zhang
Cryo 2025, 1(1), 3; https://doi.org/10.3390/cryo1010003 - 16 Feb 2025
Viewed by 211
Abstract
A balanced flowmeter not only inherits the advantages of orifice plate flowmeters but also stabilizes the flow field, reduces permanent pressure loss, and effectively increases the cavitation threshold. To perform an in-depth analysis of flow characteristics through the perforated plate and achieve performance [...] Read more.
A balanced flowmeter not only inherits the advantages of orifice plate flowmeters but also stabilizes the flow field, reduces permanent pressure loss, and effectively increases the cavitation threshold. To perform an in-depth analysis of flow characteristics through the perforated plate and achieve performance optimization for the liquid hydrogen (LH2) measurement, a numerical calculation framework is established based on the mixture model, realizable turbulence closure, and Schnerr–Sauer cavitation model. The model is first evaluated through comparison with the liquid nitrogen (LN2) experimental results of a self-developed balanced flowmeter as well as the measuring setup. The flow coefficient and pressure loss coefficient are especially considered, and a comparison is made with the orifice plane considering cavitation and non-cavitation conditions. The cavitation cloud and temperature contours are also presented to illustrate the difference in the upper limit of the Re between water, LN2, and LH2 flow. The results show that compared to LN2 and water, LH2 has a larger cavitation threshold, indicating a wider range of Re number measurements. Full article
(This article belongs to the Special Issue Efficient Production, Storage and Transportation of Liquid Hydrogen)
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<p>Three-dimensional structure and cross-sectional view of the computational domain.</p>
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<p>Geometric parameters of perforated plate.</p>
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<p>Grid scheme for computational domain.</p>
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<p>Grid-independent verification.</p>
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<p>Designed cryogenic balanced flowmeter. (<b>a</b>) photo; (<b>b</b>) photo of perforated plane.</p>
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<p>LN<sub>2</sub> flow rate experimental rig (<b>left</b>) and schematic (<b>right</b>).</p>
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<p>Comparison of simulation with experiments for the orifice and perforated plane with LN<sub>2</sub>.</p>
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<p>Comparison of performance at different flow rates with water and LN<sub>2</sub>.</p>
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<p>Comparison of performance at different flow rates with LN<sub>2</sub> and LH<sub>2</sub>.</p>
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<p>Axial velocity and turbulence intensity contours of water, LN<sub>2</sub>, and LH<sub>2</sub> (<span class="html-italic">u</span> = 4 m/s).</p>
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<p>Cavitation and turbulence intensity contours of water, LN<sub>2</sub> and LH<sub>2</sub> (<span class="html-italic">u</span> = 6 m/s).</p>
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<p>Cavitation and temperature contours of LH<sub>2</sub>.</p>
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16 pages, 2944 KiB  
Article
Degradation of Antibiotics in Aquaculture Seawater: A Treatment Based on Ozone Assisted with Hydrodynamic Cavitation
by Xiaodian Huang, Dong Yang, Liang Song and Yongcan Jiang
Water 2025, 17(4), 566; https://doi.org/10.3390/w17040566 - 15 Feb 2025
Viewed by 430
Abstract
Antibiotics in aquaculture pose significant environmental risks due to their widespread distribution in water, impacting ecosystem health. To address this hot issue, an ozone-assisted hydrodynamic cavitation (OAHC) system was developed for the efficient treatment of aquaculture seawater contaminated with antibiotics. The system demonstrated [...] Read more.
Antibiotics in aquaculture pose significant environmental risks due to their widespread distribution in water, impacting ecosystem health. To address this hot issue, an ozone-assisted hydrodynamic cavitation (OAHC) system was developed for the efficient treatment of aquaculture seawater contaminated with antibiotics. The system demonstrated remarkable efficiency, achieving complete degradation of eight antibiotics within a reaction time of 20 s. At the same time, water quality parameters, such as dissolved oxygen (increased from 9.79 mg/L to 13.19 mg/L) and nitrite nitrogen (reduced from 0.14 mg/L to 0.01 mg/L), significantly improved post-treatment. The OAHC-based system minimized harmful by-products, ensuring compliance with Chinese water quality standards. As a supplementary study, a laboratory-based simulated experiment was conducted with FLO as the target antibiotic. The investigation of kinetics and mechanisms indicated that •OH plays a predominant role in the OAHC-based aquaculture seawater treatment system. As global regulations tighten on antibiotic discharge, OAHC-based technology is poised to become a cornerstone of next-generation water treatment solutions. Future research should prioritize field-scale validation and real-time monitoring to accelerate industrial adoption. Full article
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<p>Sketch of the system for aquaculture seawater treatment.</p>
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<p>Chromatogram of antibiotics in aquaculture water before and after treatment (Abbreviations: ND, not detected).</p>
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<p>The variation in FLO concentration during the OAHC-based process (<b>a</b>) and pseudo-first-order kinetics (<b>b</b>) under different <span class="html-italic">σ</span>.</p>
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<p>Chromatogram of FLO degradation in the OAHC-based system with different gas–liquid ratios by LC-MS.</p>
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<p>Chromatogram of FLO degradation in the OAHC-based system with different gas–liquid ratios by GC-MS.</p>
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<p>Pathways of FLO degradation in the OAHC-based system.</p>
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20 pages, 8828 KiB  
Article
Comparative Study of Hydrodynamic Performance of Submerged Water Jet Propeller and Conventional Propeller Under Multiple Operating Conditions
by Jiayi Li, Lei Ma, Dongyang Chen, Yunpeng Qi, Tiechao Bai and Guang Pan
Machines 2025, 13(2), 147; https://doi.org/10.3390/machines13020147 - 13 Feb 2025
Viewed by 253
Abstract
As global shipping accelerates toward a green and low-carbon transformation, submerged water jet propulsion has emerged as a promising alternative to traditional propellers due to its high speed efficiency, noise reduction, and adaptability. This study establishes a high-fidelity CFD (computational fluid dynamics) model [...] Read more.
As global shipping accelerates toward a green and low-carbon transformation, submerged water jet propulsion has emerged as a promising alternative to traditional propellers due to its high speed efficiency, noise reduction, and adaptability. This study establishes a high-fidelity CFD (computational fluid dynamics) model incorporating vehicle body wake characteristics, validated through open-water experiments. A comparative analysis reveals that the vehicle body wake improves propulsion efficiency by 4.66% for conventional propellers and 2.32% for submerged water jet systems in near-surface operations while exacerbating cavitation-induced efficiency losses by 1.7% and 1.0%, respectively. Notably, submerged water jet propulsion demonstrates superior performance under high-velocity conditions, achieving 5–12.27% higher efficiency than conventional propellers across both open-water and vehicle body wake-affected scenarios. These findings substantiate submerged water jet propulsion’s advantages in complex flow fields, offering critical insights for marine propulsion system optimization. Full article
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<p>Schematic diagram of calculation domain of submerged water jet propeller and conventional propeller.</p>
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<p>Schematic diagram of calculation domain of submerged water jet propeller and conventional propeller considering the vehicle body’s wake.</p>
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<p>Schematic diagrams of three grids: (<b>a</b>) coarse grids, (<b>b</b>) medium grids, and (<b>c</b>) fine grids.</p>
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<p>Schematic diagram of propeller grids and submerged water jet propeller grids.</p>
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<p>Schematic of the grids of the hull coupled with the conventional propeller and the grids of the hull coupled with submerged water jet propeller.</p>
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<p>Working section of the cavitation tunnel and schematic diagram of the model.</p>
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<p>Hydrodynamic coefficient simulation results of the submerged water jet propeller compared with experimental data.</p>
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<p>Contour of PPTC propeller cavitation. (<b>a</b>) CFD contour. (<b>b</b>) EFD contour [<a href="#B25-machines-13-00147" class="html-bibr">25</a>].</p>
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<p>Comparison curves of open water efficiency, power, and total thrust of submerged jet propellers.</p>
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<p>Cavitation contours of submerged water jet propeller and conventional propeller.</p>
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<p>Pressure coefficient contours of various components of the submerged water jet propeller and conventional propeller before and after cavitation: (<b>a</b>) before cavitation, (<b>b</b>) after cavitation.</p>
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<p>Velocity contour of submerged water jet propeller and conventional high-efficiency propeller flow field in X-Y section.</p>
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<p>Performance curves of submerged water jet propeller considering effect of vehicle body wake.</p>
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<p>Performance curves of propeller considering effect of vehicle body wake.</p>
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<p>Cavitation contours of propeller and submerged water jet propeller considering effect of vehicle body wake.</p>
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<p>Pressure coefficient contours of various components of the submerged water jet propeller considering the effect of the vehicle body’s wake before and after cavitation: (<b>a</b>) before cavitation, (<b>b</b>) after cavitation.</p>
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24 pages, 13575 KiB  
Article
Biodegradability and Cavitation Erosion Behavior of Some Zinc Alloys from the System ZnCuMg
by Brandusa Ghiban, Aurora Antoniac, Ilare Bordeasu, Iulian Antoniac, Gabriela Petre, Julietta V. Rau, Dorin Bordeasu and Lavinia Madalina Micu
Metals 2025, 15(2), 161; https://doi.org/10.3390/met15020161 - 7 Feb 2025
Viewed by 571
Abstract
This paper presents experimental results regarding the development of new alloys from the binary ZnCu and ternary ZnCuMg systems. The alloys had controlled chemical compositions and were annealed at 300 °C and 400 °C, with holding times of 5 h and 10 h, [...] Read more.
This paper presents experimental results regarding the development of new alloys from the binary ZnCu and ternary ZnCuMg systems. The alloys had controlled chemical compositions and were annealed at 300 °C and 400 °C, with holding times of 5 h and 10 h, followed by air cooling. Mechanical properties (tensile strength, yield strength, elongation, and elastic modulus) were determined. Structural analysis conducted after different heat treatments revealed that homogenization transforms the dendritic structure into a granular structure with intergranular eutectic presence. Biodegradation behavior showed that the ternary alloy exhibits higher degradation rates than the binary alloy. Applying the homogenization heat treatment has a good influence on the binary alloy only, not on the ternary alloy. Our research shows that that the complex alloying of zinc with copper and magnesium may improve cavitation behavior, doubling both the MDEmax parameter and cavitation resistance expressed by Rcav. Full article
(This article belongs to the Section Metal Casting, Forming and Heat Treatment)
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Figure 1

Figure 1
<p>The structural aspects of the ZnCu alloy, in different structural phases: (<b>a</b>) as cast, (<b>b</b>) annealed at 300 °C/5 h; (<b>c</b>) annealed at 300 °C/10 h; (<b>d</b>) annealed at 400 °C/5 h, (<b>e</b>) annealed at 400 °C/10 h.</p>
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<p>The structural aspects of the ZnCuMg alloy, in different structural phases: (<b>a</b>) as cast, (<b>b</b>) annealed at 300 °C/5 h; (<b>c</b>) annealed at 300 °C/10 h; (<b>d</b>) annealed at 350 °C/5 h, (<b>e</b>) annealed at 350 °C/10 h.</p>
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<p>The SEM analysis of the ZnCu alloy: (<b>a</b>) imagine SEM; (<b>b</b>) EDAX; (<b>c</b>) Fe distribution; (<b>d</b>) Cu distribution; (<b>e</b>) Zn distribution; (<b>f</b>) local microcomposition.</p>
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<p>The SEM analysis of the ZnCuMg alloy: (<b>a</b>) imagine SEM; (<b>b</b>) EDAX; (<b>c</b>) Fe distribution; (<b>d</b>) Cu distribution; (<b>e</b>) Zn distribution; (<b>f</b>) local microcomposition.</p>
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<p>Tensile stress–strain curves of the ZnCu alloys at different structural states.</p>
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<p>Tensile stress–strain curves of the ZnCuMg alloys at different structural states.</p>
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<p>The mechanical properties of the ZnCu alloy, in different structural states: (<b>a</b>) ultimate tensile strength (MPa), (<b>b</b>) yield strength (MPa), (<b>c</b>) ultimate elongation (%), (<b>d</b>) elasticity modulus (%).</p>
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<p>The mechanical properties of the ZnCuMg alloy, in different structural states: (<b>a</b>) ultimate tensile strength (MPa), (<b>b</b>) yield strength (MPa), (<b>c</b>) ultimate elongation (%), (<b>d</b>) elasticity modulus (%).</p>
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<p>The macroscopic aspect of the ZnCu alloy (tensile strength tested), cross section, in different structural phases: (<b>a</b>) as cast, (<b>b</b>) annealed at 300 °C/5 h; (<b>c</b>) annealed at 300 °C/10 h; (<b>d</b>) annealed at 400 °C/5 h, (<b>e</b>) annealed at 400 °C/10 h.</p>
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<p>The macroscopic aspect of the ZnCuMg alloy (tensile strength tested), cross section, in different structural phases: (<b>a</b>) as cast, (<b>b</b>) annealed at 300 °C/5 h; (<b>c</b>) annealed at 300 °C/10 h; (<b>d</b>) annealed at 400 °C/5 h, (<b>e</b>) annealed at 400 °C/10 h.</p>
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<p>The intermediate degradation rate over a degradation time for the ZnCu(Mg) biodegradable alloys.</p>
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<p>The absolute degradation rate over a degradation time, for the ZnCu(Mg) biodegradable alloys.</p>
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<p>The evolution of pH values over an immersion time in SBF.</p>
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<p>The macrostructural aspects of the Zn alloy surfaces after immersion in SBF solution, for a 35-day period of time: (<b>a</b>) pure zinc; (<b>b</b>) ZnCuMg alloy; (<b>c</b>) ZnCu alloy.</p>
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<p>The cumulative mass loss variation over the cavitation process for the ZnCu alloy.</p>
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<p>A more detailed visualization of <a href="#metals-15-00161-f015" class="html-fig">Figure 15</a> concerning cumulative mass loss over the cavitation process for the ZnCu alloy.</p>
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<p>Structural aspects of the ZnCu alloy cavitational erosion at different magnifications, (<b>a</b>,<b>b</b>) stereomicroscope images, (<b>c</b>,<b>d</b>) SEM images.</p>
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<p>The comparative evaluation histogram of the binary ZnCu alloy cavitational erosion resistance.</p>
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<p>The cumulative loss of mass variation over the cavitation process of the ZnCuMg alloy.</p>
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<p>A more detailed visualization of <a href="#metals-15-00161-f019" class="html-fig">Figure 19</a>.</p>
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<p>Structural aspects of the ZnCuMg alloy cavitational erosion, at different magnifications, (<b>a</b>,<b>b</b>) stereomicroscope images, (<b>c</b>,<b>d</b>) SEM images.</p>
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<p>The comparative evaluation histogram of the ternary ZnCuMg alloy cavitational erosion resistance.</p>
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