MHD thermosolutal convection in nanofluids with Soret and Dufour effects using a hybrid MRT-LBM–FDM approach

This study develops a hybrid numerical model to simulate magneto-thermo-solutal convection in nanofluids, incorporating the Soret and Dufour effects. The model combines the Multiple Relaxation Time Lattice Boltzmann Method (MRT-LBM) for fluid flow, the BGK-LBM for solving the magnetic induction equation, and the Finite Difference Method (FDM) for heat and mass transport. Simulations are performed for Cu–H 2 O and Al 2 O 3 –H 2 O nanofluids in a lid-driven cavity, with parametric analyses of the Hartmann number ([Formula: see text]) and cross-diffusion numbers ([Formula: see text]), under aiding and opposing buoyancy conditions. Results show that Cu–H 2 O provides better thermal and solutal performance than Al 2 O 3 –H 2 O at low [Formula: see text] and [Formula: see text]. However, magnetic damping and opposing buoyancy ([Formula: see text]) reduce or reverse this advantage. The proposed model effectively captures the complex interplay between magnetic, thermal and solutal effects, offering a robust framework for multi-physics transport simulations in nanofluids.

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Publication Details

Journal
International Journal of Modern Physics C
Published
2025-10-16
DOI
https://doi.org/10.1142/s0129183126500518
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
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article

MHD thermosolutal convection in nanofluids with Soret and Dufour effects using a hybrid MRT-LBM–FDM approach

Moez Chafra, Soufiene Bettaibi, Bouthayna Mhamdi
International Journal of Modern Physics C
Nanofluid Flow and Heat Transfer
article

MHD thermosolutal convection in nanofluids with Soret and Dufour effects using a hybrid MRT-LBM–FDM approach

Moez Chafra, Soufiene Bettaibi, Bouthayna Mhamdi
article en

Abstract

This study develops a hybrid numerical model to simulate magneto-thermo-solutal convection in nanofluids, incorporating the Soret and Dufour effects. The model combines the Multiple Relaxation Time Lattice Boltzmann Method (MRT-LBM) for fluid flow, the BGK-LBM for solving the magnetic induction equation, and the Finite Difference Method (FDM) for heat and mass transport. Simulations are performed for Cu–H 2 O and Al 2 O 3 –H 2 O nanofluids in a lid-driven cavity, with parametric analyses of the Hartmann number ([Formula: see text]) and cross-diffusion numbers ([Formula: see text]), under aiding and opposing buoyancy conditions. Results show that Cu–H 2 O provides better thermal and solutal performance than Al 2 O 3 –H 2 O at low [Formula: see text] and [Formula: see text]. However, magnetic damping and opposing buoyancy ([Formula: see text]) reduce or reverse this advantage. The proposed model effectively captures the complex interplay between magnetic, thermal and solutal effects, offering a robust framework for multi-physics transport simulations in nanofluids.

International Journal of Modern Physics C
Tunis University (TN), Tunisia Polytechnic School (TN), International University of Rabat (MA), Tunis El Manar University (TN)
Openalex Percentile: Top 72%
Nanofluid Flow and Heat Transfer
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