Volume Penalization Method for Solving Coupled Radiative-Conductive Heat Transfer Problems in Complex Geometries

24 Pages Posted: 21 Jul 2022

See all articles by Yosuke Hasegawa

Yosuke Hasegawa

affiliation not provided to SSRN

Liu Ming

affiliation not provided to SSRN

Abstract

A novel immersed boundary method for simulating coupled radiative-conductive heat transfer based on a volume penalization method is proposed and vefified. A smooth source/sink term is introduced to the governing equations for radiative and conductive heat transfer in order to take into account the absorption, reflection and emission at a solid surface. The proposed algorithm is successfully implemented into an open-source CFD solver, OpenFOAM with adaptive mesh refinement to guarantee sufficiently fine grid resolution near solid surfaces. Benchmark problems of pure radiation and combined conduction-radiation are considered for the verification of the proposed method. The present simulation results under various absorption and emission conditions show good agreement with analytical solutions as well as existing literature data. In addition to its superior performance in terms of accuracy, the present approach does not require special treatments around the solid surface with arbitrary complex geometry to impose boundary conditions  for radiative heat transfer, and thereby wide applicability in scientific and engineering problems.

Keywords: Radiation, Numerical simulation, volume penalization method

Suggested Citation

Hasegawa, Yosuke and Ming, Liu, Volume Penalization Method for Solving Coupled Radiative-Conductive Heat Transfer Problems in Complex Geometries. Available at SSRN: https://ssrn.com/abstract=4168612 or http://dx.doi.org/10.2139/ssrn.4168612

Yosuke Hasegawa (Contact Author)

affiliation not provided to SSRN ( email )

No Address Available

Liu Ming

affiliation not provided to SSRN ( email )

No Address Available

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
29
Abstract Views
99
PlumX Metrics