Computational analysis of conjugate heat transfer in a 2D rectangular channel with mounted obstacles using lattice Boltzmann method

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A4 Artikkeli konferenssijulkaisussa
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Date

2025-01-13

Department

Department of Energy and Mechanical Engineering

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Language

en

Pages

8

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Proceedings of SIMS EUROSIM 2024 Oulu, Finland, 11-12 September, 2024, pp. 304-311, Linköping Electronic Conference Proceedings ; 212

Abstract

The objective of this paper is to investigate the fluid flow and conjugate heat transfer in a 2D channel using lattice Boltzmann method (LBM). In this work, fluid flow and heat transfer are studied for the Reynolds numbers varying between 250 and 1000. The working fluid in the simulations is air with the Prandtl number of 0.72. At the Reynolds number of 600, the effect of different conductivity ratio (1, 10, 100, 400) between solid and fluid are investigated. Furthermore, at this Reynolds number, the distance between obstacles for the conductivity ratio of 10 is evaluated. The results show that any increase in Reynolds number leads to a heat transfer improvement. Moreover, increase in the conductivity ratio leads to an isothermal surface and enhanced heat transfer. The more the distance between the obstacles, the better the heat transfer rate. The results obtained from LBM are in good agreement with experimental and conventional computational fluid dynamics methods.

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Keywords

Lattice Boltzmann Method (LBM), Conjugate heat transfer, Nusselt number, Prandtl number

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DOI

10.3384/ecp212.042

Citation

Nejadseifi, M, Karimkashi Arani, S, Tynjälä, T & Jalali, P 2025, Computational analysis of conjugate heat transfer in a 2D rectangular channel with mounted obstacles using lattice Boltzmann method . in Proceedings of SIMS EUROSIM 2024 Oulu, Finland, 11-12 September, 2024 . Linköping Electronic Conference Proceedings, no. 212, Linköping University Electronic Press, pp. 304-311, 2nd SIMS EUROSIM Conference on Simulation and Modelling and 65th SIMS Conference on Simulation and Modelling, Oulu, Finland, 11/09/2024 . https://doi.org/10.3384/ecp212.042

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https://urn.fi/URN:NBN:fi:aalto-202503122787

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