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Search Results (2,051)

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20 pages, 3495 KiB  
Article
Characterization of the Evolution with Temperature of the Structure and Properties of Geopolymer-Cordierite Composites
by Franklin Casarrubios, Alexandre Marlier, Charlotte Lang, Sandra Abdelouhab, Isabella Mastroianni, Geoffroy Bister and Maurice-François Gonon
Ceramics 2024, 7(4), 1513-1532; https://doi.org/10.3390/ceramics7040098 - 17 Oct 2024
Abstract
This work is part of a research project aimed at producing ceramic-like materials, without the need for an initial sintering, for potential applications in catalysis or filtration at temperatures up to 1000 °C. In that context, cordierite-derived materials were prepared from recycled cordierite [...] Read more.
This work is part of a research project aimed at producing ceramic-like materials, without the need for an initial sintering, for potential applications in catalysis or filtration at temperatures up to 1000 °C. In that context, cordierite-derived materials were prepared from recycled cordierite powder (automotive industry waste) bonded with metakaolin-potassium silicate geopolymer. The principle is that these materials, prepared at temperatures below 100 °C, acquire their final properties during the high-temperature commissioning. The focus is on the influence of the K/Al ratio and cordierite fraction on the stability of the dimensions and porosity during heating at 1000 °C, and on the final Young’s modulus and coefficient of thermal expansion. Conventional and high-temperature XRD evidenced the absence of crystallization of the geopolymer binder and interaction with the cordierite filler during the heating stage when K/Al = 1 or 0.75. By contrast, crystallization of kalsilite and leucite, and diffusion of potassium ions in the structure of cordierite is evidenced for K/Al = 1.5 and 2.3. These differences strongly influence the shrinkage due to sintering and the final properties. It is shown that a K/Al ratio of 0.75 or 1 is favorable to the stability of the porosity, around 25 to 30%. Moreover, a low coefficient of thermal expansion of 4 to 4.5 10−6 K−1 and a Young’s modulus of 40 to 45 GPa is obtained. Full article
(This article belongs to the Special Issue Innovative Manufacturing Processes of Silicate Materials)
22 pages, 9879 KiB  
Article
Optimizing Assembly in Wiring Boxes Using API Technology for Digital Twin
by Carmen-Cristiana Cazacu, Ioana Iorga, Radu Constantin Parpală, Cicerone Laurențiu Popa and Costel Emil Coteț
Appl. Sci. 2024, 14(20), 9483; https://doi.org/10.3390/app14209483 - 17 Oct 2024
Abstract
This study explores the automation enhancement in the assembly process of wiring harnesses for automotive applications, focusing on manually inserting fuses and relays into boxes—a task known for quality and efficiency challenges. This research aimed to address these challenges by implementing a robotic [...] Read more.
This study explores the automation enhancement in the assembly process of wiring harnesses for automotive applications, focusing on manually inserting fuses and relays into boxes—a task known for quality and efficiency challenges. This research aimed to address these challenges by implementing a robotic arm integrated with API technology for digital twin. The methods used included the development of a digital twin model to simulate and monitor the assembly process, supported by real-time adjustments and optimizations. The results showed that the robotic system significantly improved the accuracy and speed of fuse insertion, reducing the insertion errors typically seen in manual operations. The conclusions drawn from the research confirm the feasibility of using robotic automation supported by digital twin technology to enhance assembly processes in automotive manufacturing, promising substantial improvements in production efficiency and quality control. Full article
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<p>Technical representation for Ufactory Lite 6: (<b>a</b>) a description of the precise dimensions, (<b>b</b>) the isometric view of the robot [<a href="#B17-applsci-14-09483" class="html-bibr">17</a>].</p>
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<p>Tools and software: (<b>a</b>) digital twins created using Onshape [<a href="#B20-applsci-14-09483" class="html-bibr">20</a>], (<b>b</b>) our case study.</p>
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<p>Real fuse box with fuses and relays.</p>
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<p>Wiring/fuse box: (<b>a</b>) 3D-printed model, (<b>b</b>) real fuse box.</p>
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<p>Fuse dimensions: (<b>a</b>) virtual 3D model, (<b>b</b>) real model [<a href="#B18-applsci-14-09483" class="html-bibr">18</a>].</p>
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<p>The execution drawing of the gripper.</p>
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<p>The gripper arm holds the fuse: (<b>a</b>) the isometric section, (<b>b</b>) the view from the fuse box.</p>
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<p>Fuses: (<b>a</b>) 3D, virtual fuse models, (<b>b</b>) real fuses.</p>
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<p>Creating a digital twin: (<b>a</b>) 3D, virtual models, (<b>b</b>) real model.</p>
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<p>Fuse assembly program—Ufactory studio interface.</p>
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<p>Computer vision program: (<b>a</b>) Pycharm program, (<b>b</b>) setup camera.</p>
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<p>Digital twin monitor and control program.</p>
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<p>Example of digital twin assembling fuses by robot: (<b>a</b>) initial position, (<b>b</b>) work position.</p>
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<p>Computer vision identification: (<b>a</b>) 26 parts, (<b>b</b>) 17 parts.</p>
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<p>The wiring box with fuses assembled by robot.</p>
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<p>The message displayed to the user when the robot detects a force greater than necessary.</p>
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15 pages, 7518 KiB  
Review
Al-Mg-Zn(-Cu) Cross-Over Alloys: The New Frontier in High-Strength and Radiation-Resistant Lightweight Materials
by Alessandra Ceci, Girolamo Costanza and Maria Elisa Tata
Compounds 2024, 4(4), 664-678; https://doi.org/10.3390/compounds4040040 - 16 Oct 2024
Viewed by 311
Abstract
Over the past few years, researchers have developed the alloy Al-Mg-Zn(-Cu), a new aluminum alloy based on the technique of ‘crossover alloying’. The main strengthening phase of this novel alloy is T-Mg32(Al, X)49(X is Zn and Cu) after ageing [...] Read more.
Over the past few years, researchers have developed the alloy Al-Mg-Zn(-Cu), a new aluminum alloy based on the technique of ‘crossover alloying’. The main strengthening phase of this novel alloy is T-Mg32(Al, X)49(X is Zn and Cu) after ageing and hardening. This alloy system has exceptional strength and corrosion resistance, making it a promising candidate for applications in fields like automotive, marine, aerospace, and many others. In this work, the research progress of the Al-Mg-Zn(-Cu) alloy based on microstructure control, composition, design, and properties has been reviewed. Future directions for the research of this alloy are highlighted, too. In this work, crossover alloys are presented as a potential novel class of Al alloys implicating a pioneering design approach, with particular emphasis on the aeronautical and aerospace field in which radiation resistance results are one hundred times higher than traditional precipitation hardening alloys. Full article
(This article belongs to the Special Issue Feature Papers in Compounds (2024))
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<p>Effect of pre-ageing treatment (modified precipitation microstructure) on the Vickers hardness evolution scale at increasing ageing times in the Al-5.2Mg-0.45Cu-2.0Zn alloy [<a href="#B2-compounds-04-00040" class="html-bibr">2</a>].</p>
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<p>BF TEM observation of grain boundary β-phase of 0.6 wt% Zn alloy after 7 days of ageing (<b>a</b>). Grain boundary details are reported in (<b>b</b>), and EDS analysis for the β (needle-like particles) and τ (rod-like particles) in Zn-rich particles (Al-Mg-Zn) and the matrix are reported in (<b>c</b>) [<a href="#B36-compounds-04-00040" class="html-bibr">36</a>].</p>
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<p>True stress–strain curves of the investigated alloys showing the effect of Zn and Zn-Cu addition on tensile properties [<a href="#B32-compounds-04-00040" class="html-bibr">32</a>].</p>
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<p>Effect of the Zn content on the hardness in five alloys at increasing Zn content during ageing at 180 °C [<a href="#B37-compounds-04-00040" class="html-bibr">37</a>].</p>
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<p>Precipitation evolution scheme in AlMg5.2Zn2.0Cu0.45 after ageing at 180 °C with (<b>a</b>) and without (<b>b</b>) prior pre-ageing treatment (80 °C for 12 h) [<a href="#B2-compounds-04-00040" class="html-bibr">2</a>].</p>
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20 pages, 7994 KiB  
Article
Design of Connector Assembly Equipment for the Automotive Industry
by Pedro M. P. Curralo, Raul D. S. G. Campilho, Joaquim A. P. Pereira and Francisco J. G. Silva
Machines 2024, 12(10), 731; https://doi.org/10.3390/machines12100731 - 16 Oct 2024
Viewed by 181
Abstract
The automotive industry is one of the most demanding sectors of all manufacturing industries due to its competitiveness. It is necessary to innovate through the implementation of automated and robotic equipment, leading to cycle time and labor cost reduction. This work aims to [...] Read more.
The automotive industry is one of the most demanding sectors of all manufacturing industries due to its competitiveness. It is necessary to innovate through the implementation of automated and robotic equipment, leading to cycle time and labor cost reduction. This work aims to design semi-automatic equipment to assemble cabling connectors used in the automotive sector, replacing a manual process currently taking place in an automotive components company. In the proposed equipment, the operator places a connector in the equipment, and the components (pins and seals) are automatically inserted. A vision sensor with artificial intelligence then confirms the correct application. The equipment operation defined as Finite Element Method (FEM) was applied for structural verification; the materials and fabrication processes were detailed; the associated costs were calculated, and the equipment subsets were validated. The design was successfully accomplished, and the imposed requirements were fulfilled, with significant advantages over the current process, providing new knowledge on how semi-automatic systems can be deployed to enhance the productivity and quality of manufacturing processes. The design principles and insights gained from this work can be applied to other automation challenges, particularly where manual processes need to be replaced by more efficient semi-automatic or automatic systems. The modularity of the overall solution and the design concepts of the component inserter, component feeder, and assembly process allow for its use in different assembly scenarios beyond the automotive sector, such as electronics or aerospace, providing a contribution to increased competitiveness and survival in the global market. Full article
(This article belongs to the Special Issue Recent Developments in Machine Design, Automation and Robotics)
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<p>Seals and pins (<b>a</b>) and connector to assemble (<b>b</b>).</p>
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<p>Pins and seal inserted into the connector to assemble.</p>
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<p>Isometric view of the equipment.</p>
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<p>Layout of the equipment.</p>
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<p>Layout of the structure/shields.</p>
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<p>Magnetic lock and plate (<b>a</b>), magnetic safety switch (<b>b</b>), and support feet (<b>c</b>).</p>
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<p>Workboard layout (<b>a</b>) and connector detection via short-range photoelectric sensor (<b>b</b>).</p>
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<p>Stages of operation of the inserter.</p>
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<p>Layout of the inserter.</p>
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<p>Layout of the <span class="html-italic">x</span>-axis system.</p>
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<p>Layout of the <span class="html-italic">y</span>-axis system.</p>
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<p>Layout of the <span class="html-italic">z</span>-axis system.</p>
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<p>Electric motor.</p>
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<p>Precision shaft and linear bearing (<b>a</b>), linear guide (skid and rail) (<b>b</b>), and “home” sensor beam position (<b>c</b>).</p>
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<p>Layout of the feeder system for the components (<b>a</b>) and polycarbonate plate, supply hole, and security sensor (<b>b</b>).</p>
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<p>Artificial vision system.</p>
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<p>Boundary conditions and loads (<b>a</b>) and selected mesh (<b>b</b>).</p>
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<p>URES results (<b>a</b>) and von Mises stresses (<b>b</b>) in the <span class="html-italic">y</span>-axis system.</p>
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<p>FOS analysis (critical areas) for the <span class="html-italic">y</span>-axis system.</p>
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<p>Equipment’s operating sequence.</p>
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<p>Examples of system applications.</p>
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21 pages, 6489 KiB  
Article
Friction Characteristics of Low and High Strength Steels with Galvanized and Galvannealed Zinc Coatings
by Ji-Young Kim, Seung-Chae Yoon, Byeong-Keuk Jin, Jin-Hwa Jeon, Joo-Sik Hyun and Myoung-Gyu Lee
Materials 2024, 17(20), 5031; https://doi.org/10.3390/ma17205031 (registering DOI) - 15 Oct 2024
Viewed by 266
Abstract
As vehicle body structures become stronger and part designs more complex for lightweight, controlling frictional properties in automotive press forming has gained critical importance. Friction, a key factor in formability, is influenced by variables such as contact pressure, sliding velocity, sheet strength, and [...] Read more.
As vehicle body structures become stronger and part designs more complex for lightweight, controlling frictional properties in automotive press forming has gained critical importance. Friction, a key factor in formability, is influenced by variables such as contact pressure, sliding velocity, sheet strength, and coatings. This study investigates the friction characteristics of steels with tensile strengths of 340 MPa and 980 MPa, under galvanized (GI) and galvannealed (GA) zinc coatings. Experimental results reveal that asperity flattening, a significant factor in determining friction, increases with contact pressure normalized by tensile strength, particularly for GI-coated steels. However, the relationship between friction and surface flattening deviates from conventional expectations, with the friction coefficient initially rising with increased flattening area up to ~20% before decreasing as flattening progresses. These findings suggest that traditional empirical formulas may not fully capture friction behavior under specific conditions. By understanding this inflection point, where friction reduces under high contact pressure, the study provides valuable insights for optimizing formability and improving sheet metal forming processes, especially in scenarios where precise friction control is critical for producing high-quality automotive parts. Full article
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<p>The top view of the four as-received specimen surfaces: (<b>a</b>) TS340-GI, (<b>b</b>) TS980-GI, (<b>c</b>) TS340-GA, and (<b>d</b>) TS980-GA.</p>
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<p>The cross-sectional view and EDS images of the four as-received specimen surfaces: (<b>a</b>) TS340-GI, (<b>b</b>) TS980-GI, (<b>c</b>) TS340-GA, and (<b>d</b>) TS980-GA.</p>
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<p>A single-sided sliding type friction test equipment.</p>
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<p>Measured friction coefficients with respect to the sliding velocity and normalized contact pressure: (<b>a</b>) TS 340-GI, (<b>b</b>) TS 980-GI, (<b>c</b>) TS340-GA, and (<b>d</b>) TS980-GA.</p>
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<p>SEM measured cross-sectional images of the test specimens: (<b>a</b>) TS340-GI, (<b>b</b>) TS980-GI, (<b>c</b>) TS340-GA, and (<b>d</b>) TS980-GA. NCP denotes the normalized contact pressure.</p>
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<p>Asperity height distribution and 3D surface roughness images after friction tests on TS340-GI under different normalized contact pressures: (<b>a</b>) 0.03, (<b>b</b>) 0.1, and (<b>c</b>) 0.37.</p>
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<p>Asperity height distribution and 3D surface roughness images after friction tests on TS340-GA under different normalized contact pressures: (<b>a</b>) 0.03, (<b>b</b>) 0.1, and (<b>c</b>) 0.37.</p>
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<p>Asperity height distribution and 3D surface roughness images after friction tests on TS980-GI under different normalized contact pressures: (<b>a</b>) 0.03, (<b>b</b>) 0.1, and (<b>c</b>) 0.27.</p>
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<p>Asperity height distribution and 3D surface roughness images after friction tests on TS980-GA under different normalized contact pressures: (<b>a</b>) 0.03, (<b>b</b>) 0.1, and (<b>c</b>) 0.27.</p>
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<p>Comparison of coating layer cracks from friction tests: (<b>a</b>) TS340-GA, and (<b>b</b>) TS980-GA. NCP denotes the normalized contact pressure.</p>
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<p>Measured flattening area (%) in terms of the sliding velocity and normalized contact pressure: (<b>a</b>) TS340-GI, (<b>b</b>) TS980-GI, (<b>c</b>) TS340-GA, and (<b>d</b>) TS980-GA.</p>
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<p>Friction coefficient vs. flattening area (%) under different normalized contact pressure: (<b>a</b>) TS340-GI, (<b>b</b>) TS980-GI, (<b>c</b>) TS340-GA, and (<b>d</b>) TS980-GA.</p>
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<p>Comparison of Friction graphs with respect to sliding velocity and contact pressure: (<b>a</b>) TS340-GI, (<b>b</b>) TS980-GI, (<b>c</b>) TS340-GA, and (<b>d</b>) TS980-GA. For each coating condition, three sliding velocities are considered as (<b>left</b>) 0.05 m/min, (<b>center</b>) 0.2 m/min, and (<b>right</b>) 0.9 m/min.</p>
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29 pages, 3516 KiB  
Review
Effects of Water Injection in Diesel Engine Emission Treatment System—A Review in the Light of EURO 7
by Dániel Szőllősi and Péter Kiss
Energies 2024, 17(20), 5107; https://doi.org/10.3390/en17205107 (registering DOI) - 14 Oct 2024
Viewed by 331
Abstract
Water in the engine/combustion chamber is not a novel phenomenon. Even humidity has a major effect on internal combustion engine emissions and can thus be considered the first invisibly present emission technology. With modern techniques, the problematic aspects of water, such as corrosion [...] Read more.
Water in the engine/combustion chamber is not a novel phenomenon. Even humidity has a major effect on internal combustion engine emissions and can thus be considered the first invisibly present emission technology. With modern techniques, the problematic aspects of water, such as corrosion and lubrication issues, seem to disappear, and the benefits of water’s effect in combustion may also be enhanced in the context of EURO 7. The current study examines the literature on the effects of water on diesel combustion in chronological sequence, focusing on changes over the last three decades. Then it analyzes and re-evaluates the water effect in the current technology and the forthcoming Euro 7 regulatory context, comparing the conclusions with current automotive applications and mobility trends, in order to show the possible benefits and prospective research avenues in this sector. Techniques introducing water to combustion could be a major approach in terms of the EURO 7 retrofit mandate, as well as a feasible technique for concurrent nitrogen oxides and particulate reduction. Full article
(This article belongs to the Section B: Energy and Environment)
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<p>Particulate mass (PM) + Particle number (PN) emission limits on the Euro standard levels on PC (Passenger Car), Light duty (LD), and Heavy Duty (HD) vehicles [source: Dániel Szőllősi].</p>
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<p>Nitrogen oxides emission limits on the Euro standard levels on PC (Passenger Car), Light duty (LD), and Heavy Duty (HD) vehicles [source: Dániel Szőllősi].</p>
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<p>Share of global sales in EURO category [<a href="#B45-energies-17-05107" class="html-bibr">45</a>].</p>
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<p>Particulate mass (PM) + Particle number (PN) and Nitrogen oxide (NO<sub>x</sub>) emission limits on the European emission standards for engines used in new non-road mobile machinery (NRMM) [source: Dániel Szőllősi].</p>
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<p>Exhaust control system parts in a typical EURO 6 system [source: Dániel Szőllősi].</p>
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<p>Emission reduction on NO<sub>x</sub> with different Absolute humidity values [source: Dániel Szőllősi] [<a href="#B42-energies-17-05107" class="html-bibr">42</a>].</p>
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<p>Emission reduction on 23 nm or bigger particle number (PN<sub>23</sub>) with different Absolute humidity values [source: Dániel Szőllősi] [<a href="#B42-energies-17-05107" class="html-bibr">42</a>].</p>
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<p>Example of compact intake water fumigation in engine bench [source: Dániel Szőllősi] [<a href="#B120-energies-17-05107" class="html-bibr">120</a>].</p>
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50 pages, 12506 KiB  
Review
Review of Wear and Mechanical Characteristics of Al-Si Alloy Matrix Composites Reinforced with Natural Minerals
by Varun Singhal, Daksh Shelly, Atul Babbar, Seul-Yi Lee and Soo-Jin Park
Lubricants 2024, 12(10), 350; https://doi.org/10.3390/lubricants12100350 - 14 Oct 2024
Viewed by 684
Abstract
Al-Si alloys are vital in the aerospace and automotive industries due to their high strength-to-weight ratio, excellent ductility, and superior corrosion resistance. These properties, along with good thermal conductivity, low thermal expansion, and enhanced wear resistance due to silicon, make them ideal for [...] Read more.
Al-Si alloys are vital in the aerospace and automotive industries due to their high strength-to-weight ratio, excellent ductility, and superior corrosion resistance. These properties, along with good thermal conductivity, low thermal expansion, and enhanced wear resistance due to silicon, make them ideal for lightweight, high-performance components like engine parts exposed to harsh conditions and thermal cycling. In recent years, the development of aluminium metal matrix composites using Al-Si alloys as the base material has gathered significant attention. These composites are engineered by integrating various reinforcing particles into the aluminium matrix, which results in remarkable improvements in the wear resistance, hardness, and overall mechanical performance of the material. The stir casting process, a well-established and cost-effective method, is frequently employed to ensure a uniform distribution of these reinforcing particles within the matrix. This review delves into the influence of different types of reinforcing particles on the properties of Al-Si alloy-based AMCs. The incorporation of these reinforcements has been shown to significantly enhance wear resistance, reduce friction, and improve the overall strength and toughness of the composites, making them ideal candidates for high-performance applications in the automotive and aerospace sectors. Moreover, this review highlights the challenges associated with the fabrication of these composites, such as achieving a homogeneous particle distribution and minimizing porosity. It also discusses the latest advancements in processing techniques aimed at overcoming these challenges. Additionally, this review addresses the potential environmental and economic benefits of using natural reinforcements, which not only reduce material costs but also contribute to sustainable manufacturing practices. Full article
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<p>(<b>a</b>) Global distribution and (<b>b</b>) annual trends of research publications on AMCs (from the Scopus database).</p>
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<p>Applications of AMCs in various industries.</p>
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<p>Illustration of the various methods used to process AMCs: Powder Metallurgy [<a href="#B75-lubricants-12-00350" class="html-bibr">75</a>], Friction Stir Processing (FSP) [<a href="#B76-lubricants-12-00350" class="html-bibr">76</a>], Stir Casting [<a href="#B77-lubricants-12-00350" class="html-bibr">77</a>], Squeeze Casting [<a href="#B78-lubricants-12-00350" class="html-bibr">78</a>], Compocasting [<a href="#B78-lubricants-12-00350" class="html-bibr">78</a>], Rheocasting [<a href="#B79-lubricants-12-00350" class="html-bibr">79</a>], Reaction Processing [<a href="#B80-lubricants-12-00350" class="html-bibr">80</a>], Spray Deposition [<a href="#B78-lubricants-12-00350" class="html-bibr">78</a>], Laser-Based Additive Manufacturing [<a href="#B81-lubricants-12-00350" class="html-bibr">81</a>], Electron Beam Melting [<a href="#B82-lubricants-12-00350" class="html-bibr">82</a>], High-Energy Ball Milling [<a href="#B83-lubricants-12-00350" class="html-bibr">83</a>], Pressure Infiltration [<a href="#B10-lubricants-12-00350" class="html-bibr">10</a>], Hot Isostatic Pressing (HIP) [<a href="#B84-lubricants-12-00350" class="html-bibr">84</a>], and Spark Plasma Sintering (SPS) [<a href="#B85-lubricants-12-00350" class="html-bibr">85</a>].</p>
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<p>(<b>a</b>) Ilmenite [<a href="#B134-lubricants-12-00350" class="html-bibr">134</a>], (<b>b</b>) rutile [<a href="#B133-lubricants-12-00350" class="html-bibr">133</a>], (<b>c</b>) sillimanite [<a href="#B133-lubricants-12-00350" class="html-bibr">133</a>] and (<b>d</b>) corundum [<a href="#B130-lubricants-12-00350" class="html-bibr">130</a>].</p>
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<p>Optical micrographs of LM13/Zr AMCs: (<b>a</b>) LM13/5%Zr AMC, (<b>b</b>) LM13/10%Zr AMC, (<b>c</b>) LM13/15%Zr AMC, and (<b>d</b>) LM13/20%Zr AMC, showing the distribution of Zr particles (indicated by white arrows) within the LM13 Al matrix. Darker regions correspond to Zr particles, while circled areas highlight specific microstructural features such as voids or defects [<a href="#B94-lubricants-12-00350" class="html-bibr">94</a>].</p>
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<p>Optical micrographs showing the distribution of Al<sub>2</sub>SiO<sub>5</sub> particles in the AMC material (<b>a</b>–<b>c</b>). Coarse and fine Al<sub>2</sub>SiO<sub>5</sub> particles distributed within the AMC matrix, with arrows indicating their respective locations (<b>d</b>,<b>h</b>) silicon carbide particles and the formation of primary silicon phases in the AMC. (<b>e</b>–<b>g</b>) Micrographs showing variations in the particle size and distribution of fine Al<sub>2</sub>SiO<sub>5</sub> particles (<b>i</b>,<b>j</b>) highlight clustering of sillimanite particles [<a href="#B164-lubricants-12-00350" class="html-bibr">164</a>].</p>
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<p>Microstructure of LM30 alloy and its AMCs showing different phases. (<b>a</b>) Microstructure of LM30 alloy showing eutectic silicon and primary silicon phases. (<b>b</b>–<b>d</b>) Microstructures of 20CC, 20CM, and 20CF AMCs displaying primary silicon phases, eutectic silicon phases, and the presence of Al<sub>2</sub>O<sub>3</sub> particles. (<b>e</b>) Higher magnification microstructure of the 20CF AMC, highlighting globular eutectic silicon phases and silicon surrounding Al<sub>2</sub>O<sub>3</sub> particles [<a href="#B130-lubricants-12-00350" class="html-bibr">130</a>].</p>
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<p>Optical micrographs of AMCs with different TiO<sub>2</sub> size at (<b>a</b>) 6 wt.% TiO<sub>2</sub> fine, (<b>b</b>) 6 wt.% coarse TiO<sub>2</sub>, (<b>c</b>) 9 wt.% fine TiO<sub>2</sub>, (<b>d</b>) 9 wt.% coarse TiO<sub>2</sub>, (<b>e</b>) 12 wt.% fine TiO<sub>2</sub>, and (<b>f</b>) 12 wt.% TiO<sub>2</sub> coarse particles [<a href="#B169-lubricants-12-00350" class="html-bibr">169</a>].</p>
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<p>(<b>a</b>) Hardness and (<b>b</b>) tensile strength difference of AMC samples in different thermal conditions of TiB<sub>2</sub>- and ZrSiO<sub>4</sub>-reinforced AMCs [<a href="#B162-lubricants-12-00350" class="html-bibr">162</a>].</p>
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<p>(<b>a</b>) Tensile and YS, (<b>b</b>) hardness, and (<b>c</b>) flexural Strength of ZrSiO<sub>4</sub>- and fly ash-reinforced AMCs [<a href="#B174-lubricants-12-00350" class="html-bibr">174</a>].</p>
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<p>(<b>a</b>) Mechanical properties of AA6061 − TiO<sub>2</sub> AMC with various mass fractions of TiO<sub>2</sub>, (<b>b</b>) SEM images taken from fracture surfaces of AA6061 − TiO<sub>2</sub> AMC with different mass fractions of TiO<sub>2</sub> (1 wt.%, 2 wt.%, 3 wt.%, 4 wt.%) [<a href="#B177-lubricants-12-00350" class="html-bibr">177</a>].</p>
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<p>(<b>a</b>) Hardness at varying temperatures for preheating of FeTiO<sub>3</sub> and (<b>b</b>) stress–strain graph of AMC reinforced with FeTiO<sub>3</sub> [<a href="#B168-lubricants-12-00350" class="html-bibr">168</a>].</p>
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<p>Variation of UTS, percentage elongation, impact energy, and hardness (HRB) of Al alloy 1350 with different percentages of SiC and Al<sub>2</sub>O<sub>3</sub> reinforcements. The bar chart represents the UTS (in MPa), impact energy (in Joules), and hardness (HRB), while the line graph shows the percentage elongation for each sample composition. The data illustrate how the mechanical properties change with increasing reinforcement content, showing trends in the AMC material’s strength, ductility, toughness, and hardness [<a href="#B176-lubricants-12-00350" class="html-bibr">176</a>].</p>
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<p>Mechanical properties of Al-based AMCs with varying wt.% of reinforcement. (<b>a</b>) Hardness (HV) is a function of reinforcement percentage, showing an initial increase of 5% reinforcement and a subsequent slight decrease of 10% for hybrid AMCs. (<b>b</b>) Tensile strength (MPa) plotted against the wt. %age of reinforcement, demonstrating a peak at 5% reinforcement and a significant drop after that. (<b>c</b>) Impact strength (J) versus wt. %age of reinforcement, indicating a similar trend with maximum strength at 5% reinforcement and reduced impact strength at higher reinforcement percentages and in hybrid AMCs [<a href="#B170-lubricants-12-00350" class="html-bibr">170</a>].</p>
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<p>Analysis of the tribological behaviour of Al-based AMCs with varying TiO<sub>2</sub> content. (<b>a</b>) Friction coefficient as a function of TiO<sub>2</sub> content increases with higher TiO<sub>2</sub> percentages. (<b>b</b>) Wear loss decreases as the TiO<sub>2</sub> content increases, indicating improved wear resistance. (<b>c</b>) Friction coefficient versus sliding velocity for different AMC materials, illustrating the influence of both SiC and TiO<sub>2</sub> on friction behaviour. (<b>d</b>) Wear loss versus sliding velocity, demonstrating that higher TiO<sub>2</sub> content results in lower wear under increasing sliding speeds [<a href="#B179-lubricants-12-00350" class="html-bibr">179</a>].</p>
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<p>Effect of applied load on the wear rate of LM30 alloy reinforced with different wt.% of Al<sub>2</sub>SiO<sub>5</sub> particles of varying sizes. The graphs show wear rate (mm<sup>3</sup>/m × 10<sup>-3</sup>) for (<b>a</b>) coarse (75–106 μm), (<b>b</b>) medium (32–50 μm), and (<b>c</b>) fine (1–20 μm) Al<sub>2</sub>SiO<sub>5</sub> particles at different applied loads (1–5 kg). The wear rate decreases with increasing Al<sub>2</sub>SiO<sub>5</sub> content and decreases as the particle size is reduced from coarse to fine [<a href="#B140-lubricants-12-00350" class="html-bibr">140</a>].</p>
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<p>This figure illustrates the wear behaviour and surface characteristics of garnet-reinforced AMCs. (<b>a</b>,<b>b</b>) show the wear rate as a function of sliding distance for AMCs with garnet particle sizes fine and contents 15 wt.% and (<b>c</b>,<b>d</b>) display the worn surfaces of these AMCs at a 49 N load, revealing the surface features and wear mechanisms associated with each particle size and content [<a href="#B167-lubricants-12-00350" class="html-bibr">167</a>].</p>
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<p>(<b>a</b>–<b>f</b>) Variation in wear rate (mm<sup>3</sup>/m × 10<sup>−3</sup>) with sliding distance for LM13 alloy and B<sub>4</sub>C−AMC (BRC) with 5%, 10%, and 15% reinforcement content under different applied loads: (<b>a</b>) LM13 alloy at 9.8 N, (<b>b</b>) LM13 alloy at 24.5 N, (<b>c</b>) BRC−5 AMC at 9.8 N, (<b>d</b>) BRC−5 AMC at 24.5 N, (<b>e</b>) BRC−10 AMC at 9.8 N, (<b>f</b>) BRC−10 AMC at 24.5 N [<a href="#B134-lubricants-12-00350" class="html-bibr">134</a>].</p>
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<p>(<b>a</b>) Variation of wear rate (mm<sup>3</sup>/m × 10<sup>−6</sup> × 10<sup>−6</sup>) with contact pressure for LM30 alloy and AMCs reinforced with varying wt.% (5%, 10%, 15%, 20%) of Al<sub>2</sub>O<sub>3</sub> particles. Regression equations and R values are provided for each AMC, indicating the linear relationship between wear rate and contact pressure. (<b>b</b>) Variation of the COF with contact pressure for the same AMCs. The results show that increasing Al<sub>2</sub>O<sub>3</sub> content and decreasing particle size reduces both wear rate and COF under increasing contact pressure [<a href="#B130-lubricants-12-00350" class="html-bibr">130</a>].</p>
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<p>SEM micrographs showing the wear surface morphologies of the tested materials at different conditions (<b>a</b>,<b>b</b>) Display abrasive grooves and delamination in the matrix material, indicative of severe wear mechanisms, (<b>c</b>) Shows abrasive grooves and the presence of Zr-rich bands in the material with Zr reinforcement, (<b>d</b>) Shows fractured particles and further evidence of wear in the Zr-reinforced AMC, (<b>e</b>) Shows welded debris and ZrSiO<sub>4</sub> particles on the wear surface, (<b>f</b>) Depicts fractured regions and delamination occurring in the matrix, (<b>g</b>,<b>h</b>) Include EDX analysis of selected regions, highlighting areas of microcracking and delamination with elemental mapping showing Zr and other elements [<a href="#B94-lubricants-12-00350" class="html-bibr">94</a>].</p>
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<p>(<b>a</b>) Schematic diagrams illustrating the different stages of surface deformation and wear mechanisms of an Al-Si alloy under varying contact pressures and sliding conditions. The diagrams show asperity-to-asperity contact, debris entrapment, micro-crack initiation, and delamination processes. (<b>b</b>) SEM images of the worn surfaces of the Al-Si alloy (15-DPS3) at 1 MPa, showing abrasive grooves, delaminated areas, entrapment of debris, formation of micro-cracks, and various types of debris such as thread, flake-like, and corrugated debris, which contribute to the wear and damage of the material surface [<a href="#B185-lubricants-12-00350" class="html-bibr">185</a>].</p>
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<p>(<b>a</b>) Wear rate of the AMCs at different temperatures. (<b>b</b>) SEM image of wear surface of C1−15 at 68.67 N and 200 °C showing macro cracks, delaminated areas, and damage. (<b>c</b>) SEM image of wear surface of C3−15 at 9.81N and 200 °C showing micro cracks, narrow grooves, and micro debris. (<b>d</b>) SEM image of wear surface of C3−15 at 68.67 N and 200 °C showing wide grooves, delaminated areas, and micro cracks [<a href="#B124-lubricants-12-00350" class="html-bibr">124</a>].</p>
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<p>Microstructural changes and hardness variations in aluminum composites with 15 wt.% sillimanite particles. Images (<b>a</b>–<b>c</b>) illustrate the modification of primary and eutectic Si phases through as-cast, T4, and T6 heat treatments, with sillimanite particles well-dispersed. Graphs (<b>d</b>,<b>e</b>) present hardness trends based on natural aging and annealing times, highlighting that hardness peaks after 15–20 days of natural aging and is influenced by both the duration of aging and annealing. These findings emphasize the role of heat treatments in refining the microstructure and improving hardness [<a href="#B188-lubricants-12-00350" class="html-bibr">188</a>].</p>
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38 pages, 2930 KiB  
Review
A Comprehensive Literature Review on Hydrogen Tanks: Storage, Safety, and Structural Integrity
by Alfonso Magliano, Carlos Perez Carrera, Carmine Maria Pappalardo, Domenico Guida and Valentino Paolo Berardi
Appl. Sci. 2024, 14(20), 9348; https://doi.org/10.3390/app14209348 - 14 Oct 2024
Viewed by 927
Abstract
In recent years, there has been a significant increase in research on hydrogen due to the urgent need to move away from carbon-intensive energy sources. This transition highlights the critical role of hydrogen storage technology, where hydrogen tanks are crucial for achieving cleaner [...] Read more.
In recent years, there has been a significant increase in research on hydrogen due to the urgent need to move away from carbon-intensive energy sources. This transition highlights the critical role of hydrogen storage technology, where hydrogen tanks are crucial for achieving cleaner energy solutions. This paper aims to provide a general overview of hydrogen treatment from a mechanical viewpoint, and to create a comprehensive review that integrates the concepts of hydrogen safety and storage. This study explores the potential of hydrogen applications as a clean energy alternative and their role in various sectors, including industry, automotive, aerospace, and marine fields. The review also discusses design technologies, safety measures, material improvements, social impacts, and the regulatory landscape of hydrogen storage tanks and safety technology. This work provides a historical literature review up to 2014 and a systematic literature review from 2014 to the present to fill the gap between hydrogen storage and safety. In particular, a fundamental feature of this work is leveraging systematic procedural techniques for performing an unbiased review study to offer a detailed analysis of contemporary advancements. This innovative approach differs significantly from conventional review methods, since it involves a replicable, scientific, and transparent process, which culminates in minimizing bias and allows for highlighting the fundamental issues about the topics of interest and the main conclusions of the experts in the field of reference. The systematic approach employed in the paper was used to analyze 55 scientific articles, resulting in the identification of six primary categories. The key findings of this review work underline the need for improved materials, enhanced safety protocols, and robust infrastructure to support hydrogen adoption. More importantly, one of the fundamental results of the present review analysis is pinpointing the central role that composite materials will play during the transition toward hydrogen applications based on thin-walled industrial vessels. Future research directions are also proposed in the paper, thereby emphasizing the importance of interdisciplinary collaboration to overcome existing challenges and facilitate the safe and efficient use of hydrogen. Full article
(This article belongs to the Section Mechanical Engineering)
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<p>Global CO<sub>2</sub> emissions from energy combustion and industrial processes, from 1940 to 2022. The first plot shows the increasing CO<sub>2</sub> trend, underlining the values (in Gt CO<sub>2</sub> eq.) for every ten years and the last analyzed year (2022), while the second bar chart shows the percentage increase/decrease year by year in (CO<sub>2</sub>) emissions. Adapted from [<a href="#B1-applsci-14-09348" class="html-bibr">1</a>].</p>
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<p>Evolution of published papers about hydrogen tanks (related to safety and storage) recorded in the Scopus database.</p>
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<p>Types of hydrogen tanks and their features. Grey represents the metal part of the tanks; black represents the composite over-wrap; green represents the polymer liner. Adapted from [<a href="#B51-applsci-14-09348" class="html-bibr">51</a>].</p>
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<p>Systematic literature review methodology—PRISMA flow diagram.</p>
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<p>The scientific output of the top ten authors over time. The bubble size represents the number of documents published, with small bubbles indicating one publication and large bubbles indicating two. The color intensity is proportional to the total citations per year.</p>
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<p>The conceptual structure map created with the MCA algorithm and the K−Means clustering algorithm.</p>
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<p>Main authors collaboration network.</p>
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<p>Wordcloud of the most used keywords.</p>
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17 pages, 4203 KiB  
Article
A Comparative Analysis of Machine Learning Techniques for Predicting the Performance of Microchannel Gas Coolers in CO2 Automotive Air-Conditioning Systems
by Shehryar Ishaque, Naveed Ullah and Man-Hoe Kim
Energies 2024, 17(20), 5086; https://doi.org/10.3390/en17205086 - 13 Oct 2024
Viewed by 515
Abstract
The automotive industry is increasingly focused on developing more energy-efficient and eco-friendly air-conditioning systems. In this context, CO2 microchannel gas coolers (MCGCs) have emerged as promising alternatives due to their low global warming potential (GWP) and environmental benefits. This paper explores the [...] Read more.
The automotive industry is increasingly focused on developing more energy-efficient and eco-friendly air-conditioning systems. In this context, CO2 microchannel gas coolers (MCGCs) have emerged as promising alternatives due to their low global warming potential (GWP) and environmental benefits. This paper explores the application of machine learning (ML) algorithms to predict the thermohydraulic performance of MCGCs in automotive air-conditioning systems. Using data generated from an experimentally validated numerical model, this study compares various ML techniques, including both linear and nonlinear regression models, to forecast key performance metrics such as refrigerant outlet temperature, pressure drop, and heat transfer rate. Spearman’s correlation was employed to develop performance maps, whereas the R2 and MSE metrics were used to evaluate the models’ predictive accuracy. The linear models gave around 70% forecasting accuracy for pressure drop across the gas cooler and 97% accuracy for refrigerant outlet temperature, whereas the nonlinear models achieved more accurate predictions, with an accuracy ranging from 71% to 99%. This implies that nonlinear regression generally performs better than linear regression models in assessing the overall thermohydraulic performance of microchannel gas coolers. This research brings forth new ideas on how ML methods can be applied to enhance efficiency and effectiveness in gas coolers, contributing to the development of more eco-friendly automotive air-conditioning systems. Full article
(This article belongs to the Section J1: Heat and Mass Transfer)
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<p>Schematic flowchart of the modeling methodology.</p>
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<p>Baseline configuration of the selected CO<sub>2</sub> microchannel gas cooler (MCGC).</p>
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<p>Correlation matrix illustrating the correlations between parameters.</p>
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<p>Comparisons between the gas cooler capacity predictions of the (<b>a</b>) linear- and (<b>b</b>) nonlinear-regression-based ML models and their corresponding real values.</p>
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<p>Comparisons between the gas cooler capacity predictions of the (<b>a</b>) linear- and (<b>b</b>) nonlinear-regression-based ML models and their corresponding real values.</p>
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<p>Comparisons between the gas cooler pressure drop predictions of the (<b>a</b>) linear- and (<b>b</b>) nonlinear-regression-based ML models and their corresponding real values.</p>
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<p>Comparisons between the gas cooler pressure drop predictions of the (<b>a</b>) linear- and (<b>b</b>) nonlinear-regression-based ML models and their corresponding real values.</p>
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<p>Comparisons between the refrigerant outlet temperature predictions of the (<b>a</b>) linear- (<b>b</b>) and nonlinear-regression-based ML models and their corresponding actual values.</p>
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<p>Comparisons between the air outlet temperature predictions of the (<b>a</b>) linear- and (<b>b</b>) nonlinear-regression-based ML models and the corresponding true values.</p>
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15 pages, 5547 KiB  
Article
Improvement of Sound-Absorbing Wool Material by Laminating Permeable Nonwoven Fabric Sheet and Nonpermeable Membrane
by Shuichi Sakamoto, Kodai Sato and Gaku Muroi
Technologies 2024, 12(10), 195; https://doi.org/10.3390/technologies12100195 - 12 Oct 2024
Viewed by 578
Abstract
Thin sound-absorbing materials are particularly desired in space-constrained applications, such as in the automotive industry. In this study, we theoretically analyzed the structure of relatively thin glass wool or polyester wool laminated with a nonpermeable polyethylene membrane and a permeable nonwoven fabric sheet. [...] Read more.
Thin sound-absorbing materials are particularly desired in space-constrained applications, such as in the automotive industry. In this study, we theoretically analyzed the structure of relatively thin glass wool or polyester wool laminated with a nonpermeable polyethylene membrane and a permeable nonwoven fabric sheet. We also measured and compared the sound-absorption coefficients of these samples between experimental and theoretical values. The sound-absorption coefficient was derived using the transfer matrix method. The Rayleigh model was applied to describe the acoustic behavior of glass wool and nonwoven sheet, while the Miki model was used for polyester wool. Mathematical formulas were employed to model an air layer without damping and a vibrating membrane. These acoustic components were integrated into a transfer matrix framework to calculate the sound-absorption coefficient. The sound-absorption coefficients of glass wool and polyester wool were progressively enhanced by sequentially adding suitable nonwoven fabric and PE membranes. A sample approximately 10 mm thick, featuring permeable and nonpermeable membranes as outer layers of porous sound-absorbing material, achieved a sound-absorption coefficient equivalent to that of a sample occupying 20 mm thickness (10 mm of porous sound-absorbing material with a 10 mm back air layer). Full article
(This article belongs to the Section Innovations in Materials Processing)
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<p>Schematic diagram of a two-microphone impedance tube for measuring the absorption coefficient.</p>
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<p>Block diagram of ventilation resistance tester (Kato Tech KES-F8-AP1).</p>
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<p>Test samples: (<b>a</b>) glass wool; (<b>b</b>) polyester wool; (<b>c</b>) PE membrane; (<b>d</b>) nonwoven fabric 3A01A; (<b>e</b>) nonwoven, glass wool; (<b>f</b>) PE membrane, glass wool; (<b>g</b>) nonwoven, polyester wool; (<b>h</b>) PE membrane, polyester wool; (<b>i</b>) nonwoven, PE membrane, glass wool; (<b>j</b>) PE membrane, nonwoven, glass wool; (<b>k</b>) nonwoven, PE membrane, polyester wool; (<b>l</b>) PE membrane, nonwoven, polyester wool.</p>
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<p>Test samples: (<b>a</b>) glass wool; (<b>b</b>) polyester wool; (<b>c</b>) PE membrane; (<b>d</b>) nonwoven fabric 3A01A; (<b>e</b>) nonwoven, glass wool; (<b>f</b>) PE membrane, glass wool; (<b>g</b>) nonwoven, polyester wool; (<b>h</b>) PE membrane, polyester wool; (<b>i</b>) nonwoven, PE membrane, glass wool; (<b>j</b>) PE membrane, nonwoven, glass wool; (<b>k</b>) nonwoven, PE membrane, polyester wool; (<b>l</b>) PE membrane, nonwoven, polyester wool.</p>
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<p>Micrographs of measured samples: (<b>a</b>) glass wool; (<b>b</b>) polyester wool; (<b>c</b>) nonwoven fabric 3A01A.</p>
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<p>Sample tube: (<b>a</b>) image; (<b>b</b>) dimensions.</p>
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<p>Schematic diagram of the samples used in the experiment (The colors correspond to each material).</p>
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<p>Equivalent circuits for samples (<b>a</b>–<b>l</b>).</p>
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<p>Comparison of experimental and theoretical values (single layer) (b.a.s. = back air space 10 mm).</p>
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<p>Comparison of experimental and theoretical values (two layers): (<b>a</b>) combination with glass wool; (<b>b</b>) combination with polyester wool.</p>
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<p>Comparison of experimental and theoretical values (three layers): (<b>a</b>) combination with glass wool; (<b>b</b>) combination with polyester wool.</p>
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<p>Sensitivity analysis with nonwoven fabric of the sound-absorption coefficient for different thicknesses of the nonwoven fabric sheet.</p>
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<p>Improved sound-absorption coefficient by stacked samples: (<b>a</b>) combination with glass wool; (<b>b</b>) combination with polyester wool.</p>
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<p>Comparison with thicker samples (b.a.s. = back air space): (<b>a</b>) combination with glass wool; (<b>b</b>) combination with polyester wool.</p>
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20 pages, 352 KiB  
Review
Advances in Finite Element Modeling of Fatigue Crack Propagation
by Abdulnaser M. Alshoaibi and Yahya Ali Fageehi
Appl. Sci. 2024, 14(20), 9297; https://doi.org/10.3390/app14209297 - 12 Oct 2024
Viewed by 638
Abstract
Fatigue crack propagation is a critical phenomenon that affects the structural integrity and lifetime of various engineering components. Over the years, finite element modeling (FEM) has emerged as a powerful tool for studying fatigue crack propagation and predicting crack growth behavior. This study [...] Read more.
Fatigue crack propagation is a critical phenomenon that affects the structural integrity and lifetime of various engineering components. Over the years, finite element modeling (FEM) has emerged as a powerful tool for studying fatigue crack propagation and predicting crack growth behavior. This study offers a thorough overview of recent advancements in finite element modeling (FEM) of fatigue crack propagation. It highlights cutting-edge techniques, methodologies, and developments, focusing on their strengths and limitations. Key topics include crack initiation and propagation modeling, the fundamentals of finite element modeling, and advanced techniques specifically for fatigue crack propagation. This study discusses the latest developments in FEM, including the Extended Finite Element Method, Cohesive Zone Modeling, Virtual Crack Closure Technique, Adaptive Mesh Refinement, Dual Boundary Element Method, Phase Field Modeling, Multi-Scale Modeling, Probabilistic Approaches, and Moving Mesh Techniques. Challenges in FEM are also addressed, such as computational complexity, material characterization, meshing issues, and model validation. Additionally, the article underscores the successful application of FEM in various industries, including aerospace, automotive, civil engineering, and biomechanics. Full article
(This article belongs to the Special Issue Recent Advances in Fatigue and Fracture of Engineering Materials)
21 pages, 15853 KiB  
Article
Numerical Investigation of Film Formation Characteristics and Mechanisms through Airless Spraying on Spherical Surfaces
by Zhaojie Wu, Chuanshuo Wang, Guichun Yang, Shiming Chen, Jimiao Duan and Yan Chen
Coatings 2024, 14(10), 1299; https://doi.org/10.3390/coatings14101299 - 11 Oct 2024
Viewed by 315
Abstract
This paper focuses on key engineering issues, particularly the overall turbulent transport of paint spray and coating film distribution characteristics, in the process of airless spraying film formation. By deeply considering the geometric features of spherical surfaces and their impact on the near-wall [...] Read more.
This paper focuses on key engineering issues, particularly the overall turbulent transport of paint spray and coating film distribution characteristics, in the process of airless spraying film formation. By deeply considering the geometric features of spherical surfaces and their impact on the near-wall region of the flow field, an airless spraying film formation model consisting of the Eulerian multiphase model, the realizable k–ε turbulence model, and the Eulerian Wall Film model was established. Through numerical simulations of static spraying on the inner and outer walls of spherical surfaces with different radii, the influence of geometric features on the spray flow field and film formation characteristics on spherical surfaces was investigated. Subsequently, based on numerical simulations of dynamic spraying on different nozzle trajectories, the film formation characteristics were analyzed, and the optimal spray trajectory planning method was determined. Additionally, this study examined the coating distribution characteristics during dynamic spraying on spherical surfaces with varying geometric dimensions. Finally, a kind of chlorinated rubber anti-corrosion primer was chosen to carry out spraying experiments, which validated that the airless spray coating model and the corresponding numerical simulation methods established in this paper were reasonable and feasible for investigating the film formation characteristics on spherical surfaces. This work is expected to further promote the application of airless spray techniques in machinery, automotive, shipbuilding, and aviation industries. Full article
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<p>Models of an airless atomizer nozzle. (<b>a</b>) Structure of nozzle; (<b>b</b>) created coordinate system based on nozzle.</p>
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<p>Velocity variation curves of liquid phase <span class="html-italic">Z</span>-axis under different meshes.</p>
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<p>Velocity contours of inner surface flow field. (<b>a</b>) <span class="html-italic">YZ</span> plane; (<b>b</b>) <span class="html-italic">XZ</span> plane.</p>
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<p>Vectors of <span class="html-italic">YZ</span> plane of inner spherical surface. (<b>a</b>) t = 2.5 ms; (<b>b</b>) t = 15 ms; (<b>c</b>) t = 50 ms; (<b>d</b>) t = 400 ms.</p>
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<p>Near-wall velocity curves of inner spherical surfaces. (<b>a</b>) Normal velocity; (<b>b</b>) tangential velocity.</p>
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<p>Velocity contours of outer spherical surface flow field. (<b>a</b>) <span class="html-italic">YZ</span> plane; (<b>b</b>) <span class="html-italic">XZ</span> plane.</p>
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<p>Vector of <span class="html-italic">YZ</span> plane of outer spherical surface. (<b>a</b>) t = 2.5 ms; (<b>b</b>) t = 15 ms; (<b>c</b>) t = 50 ms; (<b>d</b>) t = 400 ms.</p>
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<p>Near-wall velocity curves of outer spherical surfaces. (<b>a</b>) normal velocity; (<b>b</b>) tangential velocity.</p>
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<p>Film thickness contours of static spraying on inner spherical surfaces. (<b>a</b>) r = 200 mm; (<b>b</b>) r = 300 mm; (<b>c</b>) r = 400 mm.</p>
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<p>Film thickness curves of inner spherical surfaces. (<b>a</b>) Long axis; (<b>b</b>) short axis.</p>
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<p>Film thickness contours of static spraying on outer spherical surfaces. (<b>a</b>) r = 200 mm; (<b>b</b>) r = 300 mm; (<b>c</b>) r = 400 mm.</p>
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<p>Film thickness distribution curves of static spraying on outer spherical surfaces. (<b>a</b>) Long axis; (<b>b</b>) short axis.</p>
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<p>Film thickness and RSDs of dynamic spraying on different latitudes of inner spherical surfaces. (<b>a</b>) Spray along the 0° latitude line; (<b>b</b>) spray along the 30° latitude line; (<b>c</b>) spray along the 60° latitude line; (<b>d</b>) maximum film thickness and RSD values.</p>
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<p>Film thickness and RSDs of dynamic spraying on different latitudes of inner spherical surfaces. (<b>a</b>) Spray along the 0° latitude line; (<b>b</b>) spray along the 30° latitude line; (<b>c</b>) spray along the 60° latitude line; (<b>d</b>) maximum film thickness and RSD values.</p>
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<p>Film thickness curves of dynamic spraying on different latitudes of inner spherical surfaces. (<b>a</b>) Direction of motion; (<b>b</b>) direction of long axis.</p>
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<p>Film thickness and RSD of dynamic spraying on different latitudes of outer spherical surfaces. (<b>a</b>) spray along the 0° latitude line; (<b>b</b>) spray along the 30° latitude line; (<b>c</b>) spray along the 60° latitude line; (<b>d</b>) maximum film thickness and RSD values.</p>
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<p>Film thickness curves of dynamic spraying on different latitudes of outer spherical surfaces. (<b>a</b>) Direction of motion; (<b>b</b>) direction of long axis.</p>
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<p>Schematic of spraying on different latitudes of spherical surfaces.</p>
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<p>Film thickness contours of dynamic spraying on inner spherical surfaces. (<b>a</b>) r = 200 mm; (<b>b</b>) r = 300 mm; (<b>c</b>) r = 400 mm.</p>
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<p>Film thickness curves of dynamic spraying on inner spherical surfaces. (<b>a</b>) Direction of motion; (<b>b</b>) direction of the long axis; (<b>c</b>) maximum film thickness and RSD values.</p>
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<p>Film thickness contours of dynamic spraying on outer spherical surfaces. (<b>a</b>) r = 200 mm; (<b>b</b>) r = 300 mm; (<b>c</b>) r = 400 mm.</p>
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<p>Film thickness curves of dynamic spraying on outer spherical surfaces. (<b>a</b>) direction of motion; (<b>b</b>) direction of the long axis; (<b>c</b>) maximum film thickness and RSD values.</p>
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<p>Film formation experiments of spraying on spherical surfaces. (<b>a</b>) Inner surface; (<b>b</b>) outer surface.</p>
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<p>Comparison of film thickness curves between experimental results and simulation data. (<b>a</b>) Movement direction of inner surface; (<b>b</b>) long-axis direction of inner surface; (<b>c</b>) movement direction of outer surface; (<b>d</b>) long-axis direction of outer surface.</p>
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12 pages, 2547 KiB  
Article
Novel Bis(4-aminophenoxy) Benzene-Based Aramid Copolymers with Enhanced Solution Processability
by Wonseong Song, Amol M. Jadhav, Yeonhae Ryu, Soojin Kim, Jaemin Im, Yujeong Jeong, Vanessa, Youngjin Kim, Yerin Sung, Yuri Kim and Hyun Ho Choi
Nanomaterials 2024, 14(20), 1632; https://doi.org/10.3390/nano14201632 - 11 Oct 2024
Viewed by 449
Abstract
Aramid copolymers have garnered significant interest due to their potential applications in extreme environments such as the aerospace, defense, and automotive industries. Recent developments in aramid copolymers have moved beyond their traditional use in high-strength, high-temperature resistant fibers. There is now a demand [...] Read more.
Aramid copolymers have garnered significant interest due to their potential applications in extreme environments such as the aerospace, defense, and automotive industries. Recent developments in aramid copolymers have moved beyond their traditional use in high-strength, high-temperature resistant fibers. There is now a demand for new polymers that can easily be processed into thin films for applications such as electrical insulation films and membranes, utilizing the inherent properties of aramid copolymers. In this work, we demonstrate two novel aramid copolymers that are capable of polymerizing in polar organic solvents with a high degree of polymerization, achieved by incorporating flexible bis(4-aminophenoxy) benzene moieties into the chain backbone. The synthesized MBAB-aramid and PBAB-aramid have enabled the fabrication of exceptionally thin, clear films, with an average molecular weight exceeding 150 kDa and a thickness ranging from 3 to 10 μm. The dynamic mechanical analysis (DMA) and thermogravimetric analysis (TGA) reveal that the thin films of MBAB-aramid and PBAB-aramid exhibited glass transition temperatures of 270.1 °C and 292.7 °C, respectively, and thermal decomposition temperatures of 449.6 °C and 465.5 °C, respectively. The mechanical tensile analysis of the 5 μm thick films confirmed that the tensile strengths, with elongation at break, are 107.1 MPa (50.7%) for MBAB-aramid and 113.5 MPa (58.4%) for PBAB-aramid, respectively. The thermal and mechanical properties consistently differ between the two polymers, which is attributed to variations in the linearity of the polymer structures and the resulting differences in the density of intermolecular hydrogen bonding and pi-pi interactions. The resulting high-strength, ultra-thin aramid materials offer numerous potential applications in thin films, membranes, and functional coatings across various industries. Full article
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<p>Organic solvent-based polymerization process of aramid copolymers. I: Dissolution of diamine, II: Polymerization (II-1: low temperature, II-2: elevation of temperature), and III: Neutralization. (<b>a</b>) Process scheme and photograph of doped solution. (<b>b</b>,<b>c</b>) Solution images as function of process step (panel b: MBAB-aramid, panel c: PBAB-aramid). (<b>d</b>) Torque (black dots) and rotation speed (red line) applied to stirrer and reactor temperatures (blue line) during entire polymerization steps.</p>
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<p>(<b>a</b>) FTIR and (<b>b</b>) <sup>1</sup>H-NMR of MBAB-aramid (red line) and PBAB-aramid (navy line).</p>
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<p>(<b>a</b>) Process of thin film fabrication. (<b>b</b>) Photographs and (<b>c</b>) SEM cross-section images of MBAB-aramid (left panel) and PBAB-aramid (right panel). (<b>d</b>) UV-vis-IR transmittance spectrum of 5 μm thick aramid films.</p>
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<p>(<b>a</b>) Thermogravimetric analysis (TGA) and (<b>b</b>) dynamic mechanical analysis (DMA) of MBAB-aramid and PBAB-aramid films.</p>
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<p>(<b>a</b>) Tensile properties of aramid films (inset: sample photograph). (<b>b</b>) Comparison of mechanical properties of aramid films in this work with previous aramid films [<a href="#B11-nanomaterials-14-01632" class="html-bibr">11</a>,<a href="#B36-nanomaterials-14-01632" class="html-bibr">36</a>,<a href="#B37-nanomaterials-14-01632" class="html-bibr">37</a>,<a href="#B38-nanomaterials-14-01632" class="html-bibr">38</a>,<a href="#B39-nanomaterials-14-01632" class="html-bibr">39</a>,<a href="#B40-nanomaterials-14-01632" class="html-bibr">40</a>,<a href="#B41-nanomaterials-14-01632" class="html-bibr">41</a>,<a href="#B42-nanomaterials-14-01632" class="html-bibr">42</a>,<a href="#B43-nanomaterials-14-01632" class="html-bibr">43</a>,<a href="#B44-nanomaterials-14-01632" class="html-bibr">44</a>,<a href="#B45-nanomaterials-14-01632" class="html-bibr">45</a>].</p>
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<p>Molecular structures of aramid copolymers (MBAB-aramid and PBAB-aramid) and monomers used in polymerization. PPD: p-phenylenediamine, TPC: terephthaloyl chloride, MBAB: 1,3-bis(4-aminophenoxy) benzene, and PBAB: 1,4-bis(4-aminophenoxy) benzene.</p>
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10 pages, 3065 KiB  
Article
Numerical Investigation of Different Cooling Methods for Battery Packs
by Edvin Podlevski, Jakub Kapuściński and Adam Dziubiński
Energies 2024, 17(20), 5048; https://doi.org/10.3390/en17205048 - 11 Oct 2024
Viewed by 334
Abstract
This paper contains the results of numerical investigations into two cooling system types for cells of three types. The galvanic cell geometries which were considered were pouches, cylinders and prisms. By design, the cooling system for a vehicle is specialised to prevent an [...] Read more.
This paper contains the results of numerical investigations into two cooling system types for cells of three types. The galvanic cell geometries which were considered were pouches, cylinders and prisms. By design, the cooling system for a vehicle is specialised to prevent an uncontrolled temperature increase at higher discharge rates. Consideration was given to the question of which cooling method would be sufficient to reduce the temperature rise of battery cells. The first cooling method investigated is one that uses direct contact with the air flow to cool the cells, a method that is very commonly used in automotive engineering, as it is less complicated. This study employs a method that uses a fan to induce forced convection, increasing the airflow over cells housed within a thermoplastic composite container. Another method, fluid cooling, is notable for its greater efficiency due to the use of a non-conducting coolant, which has also better energy absorption properties. In this study, immersion cooling was employed, utilising oil circulation through cells contained within a thermoplastic composite container, which was facilitated by a pump system. This publication shows the influence of the cell’s geometry and the type of cooling system on the temperature rise of cells when they are discharging at the appropriate power rate. The results of this study highlight the differences in cooling performance between the two methods, providing a clear basis for selecting the most suitable solution for specific applications. Full article
(This article belongs to the Section D: Energy Storage and Application)
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<p>Cross-section of mesh generated for cooling packs.</p>
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<p>Cell types used in this analysis: (<b>a</b>) Prismatic. (<b>b</b>) Pouch. (<b>c</b>) Cylindrical.</p>
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<p>Power dissipated by the pack for each analysed cell type.</p>
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<p>Classification of cooling solutions used in thermal management systems.</p>
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<p>Boundary conditions of air-cooled battery packs. (<b>a</b>) Prismatic pack. (<b>b</b>) Pouch pack. (<b>c</b>) Cylindrical pack.</p>
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<p>The operating characteristics of the fan.</p>
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<p>Boundary conditions of oil-cooled battery packs. (<b>a</b>) Prismatic pack. (<b>b</b>) Pouch pack. (<b>c</b>) Cylindrical pack.</p>
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<p>The operating characteristics of the oil pump.</p>
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<p>Maximum temperature of cells during air cooling.</p>
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<p>Maximum temperature of cells during oil cooling.</p>
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12 pages, 6563 KiB  
Article
A Numerical Study of the Vibration Characteristics of a Haptic Actuator for a Dial Gear Shifter
by Joonsik Won, Kinyeong Ko, Heesoo Eom, Chulsook Kim, Jihyun Cho and Howuk Kim
Appl. Sci. 2024, 14(20), 9242; https://doi.org/10.3390/app14209242 - 11 Oct 2024
Viewed by 377
Abstract
Human–machine interaction (HMI) is becoming increasingly important, especially in the automotive industry, where advancements in automated driving and driver assistance systems are key to enhancing driver safety and convenience. Among the many HMI interfaces, tactile sensing has been widely used in automotive applications [...] Read more.
Human–machine interaction (HMI) is becoming increasingly important, especially in the automotive industry, where advancements in automated driving and driver assistance systems are key to enhancing driver safety and convenience. Among the many HMI interfaces, tactile sensing has been widely used in automotive applications as it enables instant and direct interactions with drivers. An area that remains underexplored among the tactile HMI interfaces is the application of haptic feedback to gear shifter modules. Therefore, this study investigates the design optimization of a dial gear shifter by analyzing the vibrations transmitted to the knob surface from an integrated haptic actuator. Specifically, we first tuned the mechanical properties of the haptic actuator (in terms of the resonance frequency and vibration level) in a simulation model by referring to experimental results. Next, a numerical model of a dial gear shifter was constructed, integrated with a haptic actuator, and tuned with the experimental results. The model was further optimized based on the design of the experiment and sensitivity analyses. The optimized design yielded a 24.5% improvement in the vibration level compared with the reference design, exceeding the minimum threshold (>~2.5 m/s2 at 200 Hz) required for tactile sensing. The vibration enhancement (>22.x%) was also confirmed under the simulated hand-grabbing condition. This study is technically significant as it demonstrates that the haptic vibration in a dial gear shifter can be efficiently optimized through numerical analyses. This research will be used for the actual prototyping of a dial gear shifter to provide a safe driving experience for drivers. Full article
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<p>Structure of the haptic actuator in (<b>a</b>) the exploded view and (<b>b</b>) the assembly view.</p>
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<p>Geometry of the simulation model for the haptic actuator in (<b>a</b>) top-down view and (<b>b</b>) side view.</p>
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<p>Test setup for characterizing the vibration response of the haptic actuator.</p>
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<p>Overall simulation process to obtain the optimal design of the dial gear shifter.</p>
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<p>(<b>a</b>) Three-dimensional model of the dial gear shifter integrating the haptic actuator (i.e., the red solid box) and (<b>b</b>) the construction of the FE model.</p>
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<p>Design parameters to enhance the vibration response at the dial gear-shifting knob: (<b>A</b>) radius of knob grip, (<b>B</b>) longitudinal length of knob grip, (<b>C</b>) with and without the side supports in the cavity, and (<b>D</b>) attaching method between the knob grip and the knob outer part.</p>
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<p>Simulated mode shapes of the haptic actuator.</p>
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<p>Comparison of frequency response functions in the FEA and the experiment.</p>
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<p>Vibration response at the knob grip of the baseline model, observed at the height and the angle of the knob grip.</p>
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<p>Sensitivity analysis of each design parameter for (<b>a</b>) the radius of the knob grip, (<b>b</b>) the longitudinal length of the knob grip, (<b>c</b>) the presence of the side supports, and (<b>d</b>) the method of attaching the knob grip.</p>
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<p>Optimized design of dial gear shifter to potentiate the level of haptic vibration.</p>
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<p>Vibration response at the knob grip of the design-optimized model, observed at the height and the angle of the knob grip.</p>
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