非牛顿幂律流体在多孔外壳中的GPU加速晶格玻尔兹曼模拟

Mashnoon Islam, P. Nag, M. Molla
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引用次数: 0

摘要

本文对充满非牛顿幂律流体的方形多孔腔内的传热进行了数值研究。图形处理单元(GPU)采用多重弛豫时间(MRT)晶格玻尔兹曼方法来加速数值模拟。一个修正的幂律模型被用来描述非牛顿流体的流动。对幂律指数$n$ ($(0.6 \leq n \leq 1.0)$)、达西数$Da$ ($(10^{-3} \leq Da \leq 10^{-1})$)和瑞利数$Ra$ ($(10^3 \leq Ra \leq 10^5)$)进行了模拟。结果表明,平均努塞尔数($\overline{Nu}$)随$n$值的增大而减小,$\overline{Nu}$随$Da$值的增大而增大。此外,$Ra$值的增加会导致平均努塞尔数的增加。
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GPU accelerated lattice Boltzmann simulation of non-Newtonian power-law fluid in a porous enclosure
This paper demonstrates a numerical study of heat transfer in a square porous cavity filled with non-Newtonian power-law fluid. A Graphics Processing Unit (GPU) has been used to accelerate the numerical simulation, which uses the Multiple-Relaxation-Time (MRT) Lattice Boltzmann Method. A modified power-law model has been employed to characterize the flow of non-Newtonian fluids. The simulations have been conducted for the power-law index $n$ ranging from $(0.6 \leq n \leq 1.0)$, the Darcy number $Da$ ranging from $(10^{-3} \leq Da \leq 10^{-1})$ and the Rayleigh number $Ra$ ranging from $(10^3 \leq Ra \leq 10^5)$. Results show that the average Nusselt number ($\overline{Nu}$) decreases with an increase in the value of $n$ while $\overline{Nu}$ increases with an increase in the value of $Da$. Moreover, an increment in the value of $Ra$ leads to an increase in the average Nusselt number.
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