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学者姓名：沈明
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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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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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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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The pioneering work in finance by Black, Scholes and Merton during the 1970s led to the emergence of the Black-Scholes (B-S) equation, which offers a concise and transparent formula for determining the theoretical price of an option. The establishment of the B-S equation, however, relies on a set of rigorous assumptions that give rise to several limitations. The non-local property of the fractional derivative (FD) and the identification of fractal characteristics in financial markets have paved the way for the introduction and rapid development of fractional calculus in finance. In comparison to the classical B-S equation, the fractional B-S equations (FBSEs) offer a more flexible representation of market behavior by incorporating long-range dependence, heavy-tailed and leptokurtic distributions, as well as multifractality. This enables better modeling of extreme events and complex market phenomena, The fractional B-S equations can more accurately depict the price fluctuations in actual financial markets, thereby providing a more reliable basis for derivative pricing and risk management. This paper aims to offer a comprehensive review of various FBSEs for pricing European options, including associated solution techniques. It contributes to a deeper understanding of financial model development and its practical implications, thereby assisting researchers in making informed decisions about the most suitable approach for their needs.
Keyword ：
analytic solution analytic solution European option European option fractional Black-Scholes equation fractional Black-Scholes equation fractional derivative fractional derivative numerical simulation numerical simulation
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| GB/T 7714 | Zhang, Hongmei , Zhang, Mengchen , Liu, Fawang et al. Review of the Fractional Black-Scholes Equations and Their Solution Techniques [J]. | FRACTAL AND FRACTIONAL , 2024 , 8 (2) . |
| MLA | Zhang, Hongmei et al. "Review of the Fractional Black-Scholes Equations and Their Solution Techniques" . | FRACTAL AND FRACTIONAL 8 . 2 (2024) . |
| APA | Zhang, Hongmei , Zhang, Mengchen , Liu, Fawang , Shen, Ming . Review of the Fractional Black-Scholes Equations and Their Solution Techniques . | FRACTAL AND FRACTIONAL , 2024 , 8 (2) . |
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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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Ternary nanofluid is a novel class of working fluids with excellent heat transfer properties. A combination of three solid nanoparticles consisting of SWCNTs, TiO2, and MoS2 is investigated for Darcy-Forchheimer water-based ternary nanofluids. The related mathematical models are established by considering linear, quadratic and nonlinear thermal radiations. Numerical results and entropy generation analysis reveal the considerable influence of nonlinear thermal radiation on temperature and the reduced Nusselt number of ternary nanofluids. With the help of multiple quadratic regression, the impact of relevant parameters on the reduced Nusselt number is studied in depth. The results show that the temperature and Nusselt number are always the highest in the nonlinear thermal radiation model compared with the linear and quadratic ones, and they are most sensitive to the changes of Rd and delta. The thermal radiation properties of ternary nanofluids may potentially lead to more efficient solar energy conversion. This comparative study illustrates the advantages of ternary nanofluids in improving solar radiation utilization efficiency with nonlinear thermal radiation.
Keyword ：
Dary-forchheimer flow Dary-forchheimer flow Entropy generation Entropy generation Multiple quadratic regression Multiple quadratic regression Nonlinear thermal radiation Nonlinear thermal radiation Ternary nanofluids Ternary nanofluids
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| GB/T 7714 | Chen, Hui , He, Panfeng , Shen, Ming et al. Thermal analysis and entropy generation of Darcy-Forchheimer ternary nanofluid flow: A comparative study [J]. | CASE STUDIES IN THERMAL ENGINEERING , 2023 , 43 . |
| MLA | Chen, Hui et al. "Thermal analysis and entropy generation of Darcy-Forchheimer ternary nanofluid flow: A comparative study" . | CASE STUDIES IN THERMAL ENGINEERING 43 (2023) . |
| APA | Chen, Hui , He, Panfeng , Shen, Ming , Ma, Yiren . Thermal analysis and entropy generation of Darcy-Forchheimer ternary nanofluid flow: A comparative study . | CASE STUDIES IN THERMAL ENGINEERING , 2023 , 43 . |
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This paper investigates a two-dimensional Riemann-Liouville distributed-order space fractional diffusion equation (RLDO-SFDE). However, many challenges exist in deriving analytical solutions for fractional dynamic systems. Efficient and reliable methods need to be explored for solving the RLDO-SFDE numerically. We develop an alternating direction implicit scheme and prove that the numerical method is unconditionally stable and convergent with an accuracy of O(s(2)+?(2)+t+h(x)+h(y)). After employing an extrapolated technique, the convergence order is improved to second order in time and space. Furthermore, a fast algorithm is constructed to reduce computational costs. Two numerical examples are presented to verify the effectiveness of the numerical methods. This study may provide more possibilities for simulating diffusion complexities by fractional calculus.
Keyword ：
diffusion equation diffusion equation distributed-order operator distributed-order operator extrapolated technique extrapolated technique fractional derivative fractional derivative implicit alternating direction method implicit alternating direction method
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| GB/T 7714 | Zhang, Mengchen , Shen, Ming , Chen, Hui . An Implicit Numerical Method for the Riemann-Liouville Distributed-Order Space Fractional Diffusion Equation [J]. | FRACTAL AND FRACTIONAL , 2023 , 7 (5) . |
| MLA | Zhang, Mengchen et al. "An Implicit Numerical Method for the Riemann-Liouville Distributed-Order Space Fractional Diffusion Equation" . | FRACTAL AND FRACTIONAL 7 . 5 (2023) . |
| APA | Zhang, Mengchen , Shen, Ming , Chen, Hui . An Implicit Numerical Method for the Riemann-Liouville Distributed-Order Space Fractional Diffusion Equation . | FRACTAL AND FRACTIONAL , 2023 , 7 (5) . |
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The present study delves into the significance of Cattaneo-Christov double diffusion and the induced magnetic field (IMF) on a stagnation-point flow of Maxwell ternary nanofluids. A new boundary condition with the magnetic response is designed to study superior heat and mass transfer of Maxwell ternary nanofluid combined with double diffusion and IMF. The governing equations are formulated by mathematically modeling of the current flow in a Cartesian coordinate system and solved using an improved shooting method and the RungeKutta method. Through the application of similarity transformations, the governing equations are transformed into a system of initial boundary value ordinary differential equations. These equations are further transformed into linear equations with initial value problems using the shooting method and subsequently solved using the Runge-Kutta method and Newton's iterative techniques. The numerical results and correlation analysis vividly demonstrate the profound influence of double diffusion and IMF on thermal and concentration patterns via graphical representations. It is found that the double diffusion and the induced magnetic field always helps to achieve lower temperature and concentration. The magnetic response boundary leads to higher heat and mass transfer efficiency for the suction case. The magnetically responsive boundary is verified to be effective for regulating the heat and mass transfer of ternary nanofluid.
Keyword ：
Cattaneo-Christov double diffusion Cattaneo-Christov double diffusion Induced magnetic field Induced magnetic field Magnetic response boundary Magnetic response boundary Multiple regression analysis Multiple regression analysis Ternary nanofluid Ternary nanofluid
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| GB/T 7714 | Chen, Hui , Ma, Yiren , Shen, Ming et al. Significance of Cattaneo-Christov double diffusion and induced magnetic field on Maxwell ternary nanofluid flow with magnetic response boundary [J]. | JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS , 2023 , 587 . |
| MLA | Chen, Hui et al. "Significance of Cattaneo-Christov double diffusion and induced magnetic field on Maxwell ternary nanofluid flow with magnetic response boundary" . | JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS 587 (2023) . |
| APA | Chen, Hui , Ma, Yiren , Shen, Ming , He, Panfeng , Zhang, Hongmei . Significance of Cattaneo-Christov double diffusion and induced magnetic field on Maxwell ternary nanofluid flow with magnetic response boundary . | JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS , 2023 , 587 . |
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Nanofluids have been widely used as a class of promising working fluids with excellent heat transfer properties. However, the theoretical research on the thermal enhancement mechanism of nanofluids is still in the preliminary stage. Fractional constitutive models provide a new powerful tool to investigate the superior mechanical and thermal properties of nanofluids owing to their advantages in depicting the memory and genetic properties of the system. Fractional nanofluid models have become one of the hot research topics in recent years as better control of flow behavior and heat transfer can be achieved by considering fractional derivatives. The existing studies have indicated that the results obtained by the fractional-order nanofluid model are more consistent with the experimental results than traditional integer-order models. The purpose of this review is to identify the advantages and applications of fractional nanofluid models. First, various definitions of fractional derivatives and correlations of flux utilized in nanofluid modeling are presented. Then, the recent researches on nanofluids with fractional derivatives are sorted and analyzed. The impacts of fractional parameters on flow behaviors and heat transfer enhancement are also highlighted according to the Buongiorno model as well as the Tiwari and Das nanofluid model with fractional operators. Finally, applications of fractional nanofluids in many emerging fields such as solar energy, seawater desalination, cancer therapy, and microfluidic devices are addressed in detail.
Keyword ：
Buongiorno model Buongiorno model fractional derivatives fractional derivatives nanofluid nanofluid Tiwari and Das model Tiwari and Das model
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| GB/T 7714 | Shen, Ming , Chen, Hui , Zhang, Mengchen et al. A comprehensive review of nanofluids with fractional derivatives: Modeling and application [J]. | NANOTECHNOLOGY REVIEWS , 2022 , 11 (1) : 3235-3249 . |
| MLA | Shen, Ming et al. "A comprehensive review of nanofluids with fractional derivatives: Modeling and application" . | NANOTECHNOLOGY REVIEWS 11 . 1 (2022) : 3235-3249 . |
| APA | Shen, Ming , Chen, Hui , Zhang, Mengchen , Liu, Fawang , Anh, Vo . A comprehensive review of nanofluids with fractional derivatives: Modeling and application . | NANOTECHNOLOGY REVIEWS , 2022 , 11 (1) , 3235-3249 . |
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