LBM-MHD Data-Driven Approach to Predict Rayleigh–Bénard Convective Heat Transfer by Levenberg–Marquardt Algorithm

LBM-MHD Data-Driven Approach to Predict Rayleigh–Bénard Convective Heat Transfer by Levenberg–Marquardt Algorithm

This study aims to consider lattice Boltzmann method (LBM)–magnetohydrodynamics (MHD) data to develop equations to predict the average rate of heat transfer quantitatively. The present approach considers a 2D rectangular cavity with adiabatic side walls, and the bottom wall is heated while the top w...

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Bibliographic Details
Main Authors: Taasnim Ahmed Himika, Md Farhad Hasan, Md. Mamun Molla, Md Amirul Islam Khan
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Axioms
Subjects:
lattice Boltzmann
Rayleigh–Bénard convection
magnetohydrodynamics
Levenberg–Marquardt algorithm
data-driven analysis
Nusselt number
Online Access:https://www.mdpi.com/2075-1680/12/2/199

Internet

https://www.mdpi.com/2075-1680/12/2/199

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