Fractional MHD analysis of Oldroyd–B fluid with variable thermal conductivity and thermoelectric coupling

Fractional models have emerged as powerful tools for capturing the intricate physical dynamics of systems where memory effects play a crucial role. This study investigates the unsteady magnetohydrodynamic (MHD) flow and heat transfer of a fractional Oldroyd–B fluid between parallel plates. The model incorporates Caputo fractional derivatives ( 0 < α , β , γ < 1 ) to capture viscoelastic memory effects, along with variable thermal conductivity, fractional Joule heating, and thermo-electrical coupling via the Seebeck effect. A hybrid numerical scheme—combining Galerkin finite elements for spatial discretization with the L1 finite-difference approximation for fractional derivatives—is developed and validated through rigorous error analysis, demonstrating second-order spatial convergence in L 2 and H 1 norms. Parametric analysis demonstrates that the transverse magnetic field significantly retards the flow, increasing skin friction by 22.58%, while increasing the variable thermal conductivity parameter enhances the wall heat transfer rate by 39.80%. In contrast, the Seebeck effect and electric body force are observed to assist the flow, thereby reducing wall shear stress, whereas internal heat generation diminishes the local Nusselt number. Additionally, the fractional relaxation and retardation parameters exhibit opposing effects on the velocity boundary layer thickness. These findings provide precise theoretical benchmarks for optimizing thermal management in electromagnetic viscoelastic processing.

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Publication Details

Journal
Ain Shams Engineering Journal
Published
2026-02-03
DOI
https://doi.org/10.1016/j.asej.2026.103997
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
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Fractional MHD analysis of Oldroyd–B fluid with variable thermal conductivity and thermoelectric coupling

Mudassar Imran, Muhammad Shoaib Anwar, Mumtaz Khan
Ain Shams Engineering Journal
Nanofluid Flow and Heat Transfer
article

Fractional MHD analysis of Oldroyd–B fluid with variable thermal conductivity and thermoelectric coupling

Mudassar Imran, Muhammad Shoaib Anwar, Mumtaz Khan
article en

Abstract

Fractional models have emerged as powerful tools for capturing the intricate physical dynamics of systems where memory effects play a crucial role. This study investigates the unsteady magnetohydrodynamic (MHD) flow and heat transfer of a fractional Oldroyd–B fluid between parallel plates. The model incorporates Caputo fractional derivatives ( 0 < α , β , γ < 1 ) to capture viscoelastic memory effects, along with variable thermal conductivity, fractional Joule heating, and thermo-electrical coupling via the Seebeck effect. A hybrid numerical scheme—combining Galerkin finite elements for spatial discretization with the L1 finite-difference approximation for fractional derivatives—is developed and validated through rigorous error analysis, demonstrating second-order spatial convergence in L 2 and H 1 norms. Parametric analysis demonstrates that the transverse magnetic field significantly retards the flow, increasing skin friction by 22.58%, while increasing the variable thermal conductivity parameter enhances the wall heat transfer rate by 39.80%. In contrast, the Seebeck effect and electric body force are observed to assist the flow, thereby reducing wall shear stress, whereas internal heat generation diminishes the local Nusselt number. Additionally, the fractional relaxation and retardation parameters exhibit opposing effects on the velocity boundary layer thickness. These findings provide precise theoretical benchmarks for optimizing thermal management in electromagnetic viscoelastic processing.

Ain Shams Engineering JournalVol. 17(3)
Ajman University (AE), Chuxiong Normal University (CN)
Affordable and clean energy
Openalex Percentile: Top 69%
Nanofluid Flow and Heat Transfer
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Fractional MHD analysis of Oldroyd–B fluid with variable thermal conductivity and thermoelectric coupling — Mudassar Imran, Muhammad Shoaib Anwar, et al. · Ain Shams Engineering Journal (2026) | TGRS Research Map | TGRS