GPU Accelerated Lattice Boltzmann Simulation of Non-Newtonian Power-Law Fluid in a Porous Enclosure

TL;DR

This study employs GPU-accelerated Lattice Boltzmann simulations to analyze heat transfer in a porous cavity filled with non-Newtonian power-law fluids, revealing how flow parameters influence heat transfer efficiency.

Contribution

It introduces a GPU-accelerated MRT Lattice Boltzmann method for simulating non-Newtonian fluids in porous media, with a modified power-law model for flow characterization.

Findings

Average Nusselt number decreases with increasing power-law index n.

Nusselt number increases with Darcy number Da.

Nusselt number increases with Rayleigh number Ra.

Abstract

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.