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学者姓名：陈晖
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Abstract ：
Due to its exceptional mechanical and chemical properties at high temperatures, Inconel 718 is extensively utilized in industries such as aerospace, aviation, and marine. Investigating the flow behavior of Inconel 718 under high strain rates and high temperatures is vital for comprehending the dynamic characteristics of the material in manufacturing processes. This paper introduces a physics-based constitutive model that accounts for dislocation motion and its density evolution, capable of simulating the plastic behavior of Inconel 718 during large strain deformations caused by machining processes. Utilizing a microstructure-based flow stress model, the machinability of Inconel 718 in terms of cutting forces and temperatures is quantitatively predicted and compared with results from orthogonal cutting experiments. The model’s predictive precision, with a margin of error between 5 and 8%, ensures reliable consistency and enhances our comprehension of the high-speed machining dynamics of Inconel 718 components. © 2024 by the authors.
Keyword ：
flow stress model flow stress model Inconel 718 Inconel 718 machinability machinability microstructure microstructure
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| GB/T 7714 | Yin, Q. , Chen, H. , Chen, J. et al. Microstructure-Based Flow Stress Model to Predict Machinability of Inconel 718 [J]. | Materials , 2024 , 17 (17) . |
| MLA | Yin, Q. et al. "Microstructure-Based Flow Stress Model to Predict Machinability of Inconel 718" . | Materials 17 . 17 (2024) . |
| APA | Yin, Q. , Chen, H. , Chen, J. , Xie, Y. , Shen, M. , Huang, Y. . Microstructure-Based Flow Stress Model to Predict Machinability of Inconel 718 . | Materials , 2024 , 17 (17) . |
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Micro-polarizer array (MPA) is the core optical component of the Division of Focal-Plane (DoFP) imaging system, and its design is very important to the system's performance. Traditional design methods rely on theoretical analysis and simulation, which is complicated and requires designers to have profound theoretical foundations. In order to simplify the design process and improve efficiency, this paper proposes a 2 x 2 MPA reverse-design strategy based on particle swarm optimization (PSO). This strategy uses intelligent algorithms to automatically explore the design space in order to discover MPA structures with optimal optical properties. In addition, the all-pass filter is introduced to the MPA superpixel unit in the design, which effectively reduces the crosstalk and frequency aliasing between pixels. In this study, two MPA models were designed: a traditional MPA and an MPA with an all-pass filter. The Degree of Linear Polarization (DOLP) image contrast is used as the evaluation standard and compared with the traditional MPA; the results show that the contrast of the newly designed traditional MPA image is increased by 21%, and the MPA image with the all-pass filter is significantly increased by 82%. Therefore, the reverse-design method proposed in this paper not only simplifies the design process but also can design an MPA with enhanced optical performance, which has obvious advantages over the traditional method.
Keyword ：
DOLP image contrast DOLP image contrast MPA MPA optimizing optical performance optimizing optical performance particle swarm optimization particle swarm optimization reverse design reverse design
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| GB/T 7714 | Shi, Yonggui , Lin, Zhihai , Wang, Tianran et al. Reverse Design of Pixel-Type Micro-Polarizer Arrays to Improve Polarization Image Contrast [J]. | MICROMACHINES , 2024 , 15 (10) . |
| MLA | Shi, Yonggui et al. "Reverse Design of Pixel-Type Micro-Polarizer Arrays to Improve Polarization Image Contrast" . | MICROMACHINES 15 . 10 (2024) . |
| APA | Shi, Yonggui , Lin, Zhihai , Wang, Tianran , Huang, Chaokai , Chen, Hui , Chen, Jianxiong et al. Reverse Design of Pixel-Type Micro-Polarizer Arrays to Improve Polarization Image Contrast . | MICROMACHINES , 2024 , 15 (10) . |
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The photoelectric conversion efficiency of photovoltaic thermal (PVT) systems is a key concern in solar energy research. The widespread use of continuous nanofluid cooling in PVT/NPCM (NanoEnhanced Phase Change Material) systems leads to heightened energy consumption. In order to improve efficiency of the PVT/NPCM systems, a two-dimensional transient heat transfer numerical model is established to analyze the PVT/NPCM system with intermittent flow cooling. Corresponding govern equations with boundary conditions are proposed, and numerically solved by using the finite element method. Simulation results are compared with experimental data, showing a deviation of less than 7 %. The findings indicate that the intermittent cooling reduces the flow energy consumption required to drive 2220 L of nanofluid compared to continuous cooling over a 7-h period. Furthermore, under intermittent cooling conditions, the average electrical efficiency stands at approximately 19.7 %. Notably, the electrical efficiency of PVT/NPCM systems employing intermittent flow cooling closely aligns with those employing continuous flow cooling, exhibiting a maximum deviation of merely 0.0348 %. Additionally, intermittent flow cooling emerges as a favorable choice under solar radiation intensities surpasses 1000W/m 2 , enabling a significant reduction in overall energy consumption while maintaining commendable cooling performance.
Keyword ：
Nanofluid Nanofluid Nano-phase change material Nano-phase change material Numerical methodology Numerical methodology Photovoltaic Photovoltaic Solar energy Solar energy
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| GB/T 7714 | Chen, Hui , Zhang, Jianfeng , Shen, Ming et al. Comprehensive numerical modeling of intermittent flow cooling with enhanced photovoltaic efficiency in PVT/NPCM systems [J]. | CASE STUDIES IN THERMAL ENGINEERING , 2024 , 58 . |
| MLA | Chen, Hui et al. "Comprehensive numerical modeling of intermittent flow cooling with enhanced photovoltaic efficiency in PVT/NPCM systems" . | CASE STUDIES IN THERMAL ENGINEERING 58 (2024) . |
| APA | Chen, Hui , Zhang, Jianfeng , Shen, Ming , Fang, Hui , Ma, Yiren . Comprehensive numerical modeling of intermittent flow cooling with enhanced photovoltaic efficiency in PVT/NPCM systems . | CASE STUDIES IN THERMAL ENGINEERING , 2024 , 58 . |
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In fiber-reinforced composites, the interfacial bonding between fibers and the matrix is crucial for determining the material's performance. A vacuum-assisted resin transfer molding (VARTM) process was utilized in this work to fabricate glass fiber fabric-reinforced polyamide 6 (GFF/PA6) composites through in-situ polymerization using caprolactam (CL) as the precursor. To enhance the fiber-matrix interfacial bonding, polyethylene glycol (PEG) was incorporated into the polymerization system, improving the hydrogen bonding between the matrix and fibers. Morphological observations and interface layer analysis revealed that the introduction of PEG resulted in improved interfacial bonding and increased interface layer thickness. Molecular dynamics simulations indicated that the amino formate groups formed by the reaction with PEG exhibited more hydrogen bonds with the hydroxyl groups on the glass fiber surface, thereby promoting interfacial bonding between the matrix and fibers. When the PEG content was 10 wt%, the tensile strength and the elongation at break of the corresponding composite increased by 160% and 300% compared to GFF/PA6 composites without PEG. This study presents a promising strategy for enhancing the fiber-matrix interfacial bonding by modifying the matrix, offering a prospective approach for developing high-strength thermoplastic composites.Highlights GFF/PA6 composites were fabricated via the VARTM method. The addition of PEG for matrix modification improved the interfacial bonding. The modification enhances the hydrogen bonding between the matrix and fibers. Good interfacial bonding can greatly promote the crystallization of the matrix. The composites exhibited a significant increase in strength and toughness. Preparation and properties of CFF/PA6-co-PEG composites. image
Keyword ：
composite composite copolymer copolymer glass fiber fabric glass fiber fabric interfacial bonding interfacial bonding vacuum-assisted resin transfer molding vacuum-assisted resin transfer molding
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| GB/T 7714 | Fang, Hui , Jia, Fenghui , Chen, Sheng et al. Significant enhancement of mechanical properties for glass fiber fabric-reinforced polyamide 6 composites by improving interfacial bonding [J]. | POLYMER COMPOSITES , 2024 , 45 (8) : 7541-7550 . |
| MLA | Fang, Hui et al. "Significant enhancement of mechanical properties for glass fiber fabric-reinforced polyamide 6 composites by improving interfacial bonding" . | POLYMER COMPOSITES 45 . 8 (2024) : 7541-7550 . |
| APA | Fang, Hui , Jia, Fenghui , Chen, Sheng , Zhang, Wei , Huang, Li , Wu, Fangjuan et al. Significant enhancement of mechanical properties for glass fiber fabric-reinforced polyamide 6 composites by improving interfacial bonding . | POLYMER COMPOSITES , 2024 , 45 (8) , 7541-7550 . |
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Silicon carbide (SiC) is extremely hard and brittle, posing challenges for traditional abrasive machining. This study used molecular dynamics simulations to investigate synchronous versus asynchronous force -torque effects on SiC abrasive machining. Multi-grit diamond abrasion of 4H-SiC was modeled by applying controlled sinusoidal forces and torques. Asynchronous force -torque increased material removal rates up to 2X versus synchronous conditions by promoting particle agglomeration and enabling trapped particles to contribute. However, asynchronous operation also produced higher surface roughness and subsurface cracking from greater penetration. The alternating forces generated larger stresses that may have driven more plastic deformation and brittle fracture. The study provided atomic-scale insights into force -torque effects, establishing guidelines to potentially enhance efficiency through asynchronous operation despite drawbacks.
Keyword ：
Abrasive machining Abrasive machining Force -torque synchronization Force -torque synchronization Molecular dynamics Molecular dynamics Silicon carbide Silicon carbide
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| GB/T 7714 | Chen, Hui , Wang, Chengxin , Chen, Jianxiong et al. Changing torque-force synchronization condition for abrasive particle improves material removal during silicon carbide abrasive machining [J]. | TRIBOLOGY INTERNATIONAL , 2024 , 192 . |
| MLA | Chen, Hui et al. "Changing torque-force synchronization condition for abrasive particle improves material removal during silicon carbide abrasive machining" . | TRIBOLOGY INTERNATIONAL 192 (2024) . |
| APA | Chen, Hui , Wang, Chengxin , Chen, Jianxiong , Xie, Yu , Sun, Kailin , Huang, Yuhua et al. Changing torque-force synchronization condition for abrasive particle improves material removal during silicon carbide abrasive machining . | TRIBOLOGY INTERNATIONAL , 2024 , 192 . |
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A fluid-assisted fused deposition modeling (FA-FDM) 3D printing technique was proposed and employed to create anisotropically thermally conductive polymer composites (aniso-TCPCs). These composites have precisely controllable heat conduction pathways achieved by spraying boron nitride (BN) on both sides of the FDM 3D printed POE/PP materials. At the same BN content (cBN), the thermal conductivity (lambda) of the aniso-TCPCs is higher than that of the isotropic composites. When cBN = 60 wt%, the lambda of the aniso-TCPCs could reach 1.43 W m � 1 K- 1, improved over 510 % as compared to the POE/PP matrix. Both experimental and simulation results show that the design of the anisotropically thermally conductive pathways can significantly improve the thermal conductivity of the polymer composites for efficient heat dispersion. Overall, the present study would provide a point of reference for the rational design of effective heat dissipation materials with highly and precisely tunable heat transfer pathways.
Keyword ：
Anisotropic heat conduction Anisotropic heat conduction Fluid-assisted Fluid-assisted Fused deposition molding 3D printing Fused deposition molding 3D printing Thermally conductive composites Thermally conductive composites
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| GB/T 7714 | Cai, Zewei , Zhang, Jianfeng , Zhang, Lizhi et al. Fluid-assisted fused deposition modeling 3D printing of anisotropically thermally conductive polymer composites with precisely tunable heat transfer pathways [J]. | COMPOSITES COMMUNICATIONS , 2024 , 46 . |
| MLA | Cai, Zewei et al. "Fluid-assisted fused deposition modeling 3D printing of anisotropically thermally conductive polymer composites with precisely tunable heat transfer pathways" . | COMPOSITES COMMUNICATIONS 46 (2024) . |
| APA | Cai, Zewei , Zhang, Jianfeng , Zhang, Lizhi , Wang, Jianlei , Chen, Hui , Lv, Yan et al. Fluid-assisted fused deposition modeling 3D printing of anisotropically thermally conductive polymer composites with precisely tunable heat transfer pathways . | COMPOSITES COMMUNICATIONS , 2024 , 46 . |
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Abstract ：
Due to its exceptional mechanical and chemical properties at high temperatures, Inconel 718 is extensively utilized in industries such as aerospace, aviation, and marine. Investigating the flow behavior of Inconel 718 under high strain rates and high temperatures is vital for comprehending the dynamic characteristics of the material in manufacturing processes. This paper introduces a physics-based constitutive model that accounts for dislocation motion and its density evolution, capable of simulating the plastic behavior of Inconel 718 during large strain deformations caused by machining processes. Utilizing a microstructure-based flow stress model, the machinability of Inconel 718 in terms of cutting forces and temperatures is quantitatively predicted and compared with results from orthogonal cutting experiments. The model's predictive precision, with a margin of error between 5 and 8%, ensures reliable consistency and enhances our comprehension of the high-speed machining dynamics of Inconel 718 components.
Keyword ：
flow stress model flow stress model Inconel 718 Inconel 718 machinability machinability microstructure microstructure
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| GB/T 7714 | Yin, Qingan , Chen, Hui , Chen, Jianxiong et al. Microstructure-Based Flow Stress Model to Predict Machinability of Inconel 718 [J]. | MATERIALS , 2024 , 17 (17) . |
| MLA | Yin, Qingan et al. "Microstructure-Based Flow Stress Model to Predict Machinability of Inconel 718" . | MATERIALS 17 . 17 (2024) . |
| APA | Yin, Qingan , Chen, Hui , Chen, Jianxiong , Xie, Yu , Shen, Ming , Huang, Yuhua . Microstructure-Based Flow Stress Model to Predict Machinability of Inconel 718 . | MATERIALS , 2024 , 17 (17) . |
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This paper introduces fractional Brownian motion into the study of Maxwell nanofluids over a stretching surface. Nonlinear coupled spatial fractional-order energy and mass equations are established and solved numerically by the finite difference method with Newton's iterative technique. The quantities of physical interest are graphically presented and discussed in detail. It is found that the modified model with fractional Brownian motion is more capable of explaining the thermal conductivity enhancement. The results indicate that a reduction in the fractional parameter leads to thinner thermal and concentration boundary layers, accompanied by higher local Nusselt and Sherwood numbers. Consequently, the introduction of a fractional Brownian model not only enriches our comprehension of the thermal conductivity enhancement phenomenon but also amplifies the efficacy of heat and mass transfer within Maxwell nanofluids. This achievement demonstrates practical application potential in optimizing the efficiency of fluid heating and cooling processes, underscoring its importance in the realm of thermal management and energy conservation.
Keyword ：
fractional Brownian motion fractional Brownian motion improved Buongiorno model improved Buongiorno model Maxwell nanofluids Maxwell nanofluids Riemann-Liouville fractional derivative Riemann-Liouville fractional derivative
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| GB/T 7714 | Shen, Ming , Liu, Yihong , Yin, Qingan et al. Enhanced Thermal and Mass Diffusion in Maxwell Nanofluid: A Fractional Brownian Motion Model [J]. | FRACTAL AND FRACTIONAL , 2024 , 8 (8) . |
| MLA | Shen, Ming et al. "Enhanced Thermal and Mass Diffusion in Maxwell Nanofluid: A Fractional Brownian Motion Model" . | FRACTAL AND FRACTIONAL 8 . 8 (2024) . |
| APA | Shen, Ming , Liu, Yihong , Yin, Qingan , Zhang, Hongmei , Chen, Hui . Enhanced Thermal and Mass Diffusion in Maxwell Nanofluid: A Fractional Brownian Motion Model . | FRACTAL AND FRACTIONAL , 2024 , 8 (8) . |
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针对传统实验教学中存在以认知体验为主、缺乏连贯层次化设计和过度依赖实验报告等问题，以装备设计制造能力培养为导向，融合基于模型设计(MBD)、虚实结合的机电概念设计(MCD)、制造执行系统MES等理念方法，建立以项目式学习为驱动的层次递进式实验教学构架，改革现有专业课程实践知识体系，培养能够解决复杂工程问题的高质量机械工程人才。通过持续实践，取得了明显的成效。
Keyword ：
OBE OBE 实验教学体系 实验教学体系 装备设计制造 装备设计制造 项目式学习 项目式学习
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| GB/T 7714 | 陈晖 , 陈剑雄 , 黄惠 . 基于3M-PBL-OBE的机械工程实验教学体系改革与实践 [J]. | 中国现代教育装备 , 2024 , 4 (09) : 128-130,134 . |
| MLA | 陈晖 et al. "基于3M-PBL-OBE的机械工程实验教学体系改革与实践" . | 中国现代教育装备 4 . 09 (2024) : 128-130,134 . |
| APA | 陈晖 , 陈剑雄 , 黄惠 . 基于3M-PBL-OBE的机械工程实验教学体系改革与实践 . | 中国现代教育装备 , 2024 , 4 (09) , 128-130,134 . |
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This study explores the 2D stretching flow of a hybrid nanofluid over a curved surface influenced by a magnetic field and reactions. A steady laminar flow model is created with curvilinear coordinates, considering thermal radiation, suction, and magnetic boundary conditions. The nanofluid is made of water with copper and MWCNTs as nanoparticles. The equations are transformed into nonlinear ODEs and solved numerically. The model’s accuracy is confirmed by comparing it with published data. Results show that fluid velocity increases, temperature decreases, and concentration increases with the curvature radius parameter. The hybrid nanofluid is more sensitive to magnetic field changes in velocity, while the nanofluid is more sensitive to magnetic boundary coefficient changes. These insights can optimize heat and mass transfer in industrial processes like chemical reactors and wastewater treatment.
Keyword ：
Hybrid Nanofluids Hybrid Nanofluids Improved Shooting Method Improved Shooting Method Induced Magnetic Field Induced Magnetic Field Stretching Curved Surface Stretching Curved Surface
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| GB/T 7714 | Ming Shen , Yunhua Zheng , Yihong Liu et al. Hybrid Nanofluid Flow over a Stretching Curved Surface with Induced Magnetic Field and Homogeneous-Heterogeneous Reactions [J]. | Journal of Applied Mathematics and Physics , 2024 , 12 (10) : 3638-3654 . |
| MLA | Ming Shen et al. "Hybrid Nanofluid Flow over a Stretching Curved Surface with Induced Magnetic Field and Homogeneous-Heterogeneous Reactions" . | Journal of Applied Mathematics and Physics 12 . 10 (2024) : 3638-3654 . |
| APA | Ming Shen , Yunhua Zheng , Yihong Liu , Hui Chen , Mengchen Zhang . Hybrid Nanofluid Flow over a Stretching Curved Surface with Induced Magnetic Field and Homogeneous-Heterogeneous Reactions . | Journal of Applied Mathematics and Physics , 2024 , 12 (10) , 3638-3654 . |
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