Numerical study on radiative MHD flow of viscoelastic fluids with distributed-order and variable-order space fractional operators

被引:6
作者
Li, Nan [1 ]
Wang, Xiaoping [1 ]
Xu, Huanying [1 ]
Qi, Haitao [1 ]
机构
[1] Shandong Univ, Sch Math & Stat, Weihai 264209, Shandong, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Distributed-order space fractional model; Variable-order space fractional model; Magnetic field; Heat transfer; Finite difference algorithm; HEAT-TRANSFER; ENTROPY GENERATION; DIFFUSION EQUATION; MIXED-CONVECTION; TIME; SIMULATION; NANOFLUID; SHEET; FIELD;
D O I
10.1016/j.matcom.2023.07.021
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The magnetohydrodynamic (MHD) flow has been concerned widely for its widespread adoption in the field of astrophysics, electronics and many other industries over the years. The purpose of this article is to introduce the variable and distributed order space fractional models to characterize the MHD flow and heat transfer of heterogeneous viscoelastic fluids in a parallel plates. Based on the central difference approximation of Riesz space fractional derivative, the Crank-Nicolson difference scheme for the governing equations is established, and the effectiveness of the algorithm is verified by two numerical examples. We examine the effects of fractional-order model parameters on the velocity and temperature, our investigation indicates that for the constant fractional model, the larger the fractional order parameter, the smaller the velocity and temperature. The variable space fractional method can be used to describe dynamic behavior with time and space dependence, while the distributed space fractional model can describe various phenomena in which the number of differential orders varies over a certain range, characterizing their complex processes over space, and it is also more suitable for simulating the fluid flow and thermal behavior of complex viscoelastic magnetic fluid. (c) 2023 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:291 / 305
页数:15
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