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学者姓名：殷庆安
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Abstract ：
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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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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