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SRM Simulation of Thermal Convective on MHD Nanofluids across Moving Flat Plate
1 Research Group of Fluid Flow Modeling and Simulation, Department of Applied Mathematics, University of Dhaka, Dhaka, 1000, Bangladesh
2 Department of Quantitative Science, International University of Business Agriculture and Technology, Dhaka, 1230, Bangladesh
3 Department of Mathematical and Physical Sciences, College of Arts and Sciences, University of Nizwa, Nizwa, 616, Sultanate of Oman
* Corresponding Author: Mohammad Ferdows. Email:
(This article belongs to the Special Issue: Heat and Mass Transfer Applications in Engineering and Biomedical Systems: New Developments)
Frontiers in Heat and Mass Transfer 2025, 23(3), 1013-1036. https://doi.org/10.32604/fhmt.2025.062311
Received 16 December 2024; Accepted 10 April 2025; Issue published 30 June 2025
Abstract
This study explores free convective heat transfer in an electrically conducting nanofluid flow over a moving semi-infinite flat plate under the influence of an induced magnetic field and viscous dissipation. The velocity and magnetic field vectors are aligned at a distance from the plate. The Spectral Relaxation Method (SRM) is used to numerically solve the coupled nonlinear partial differential equations, analyzing the effects of the Eckert number on heat and mass transfer. Various nanofluids containing , , , and nanoparticles are examined to assess how external magnetic fields influence fluid behavior. Key parameters, including the nanoparticle volume fraction , magnetic parameter , magnetic Prandtl number , and Eckert number , are evaluated for their impact on velocity, induced magnetic field, and heat transfer. Results indicate that increasing the magnetic parameter reduces velocity and magnetic field components in alumina-water nanofluids, while a higher nanoparticle volume fraction enhances the thermal boundary layer. Greater viscous dissipation increases temperature, and nanofluids exhibit higher speeds than , , and due to density differences. Silver-water nanofluids, with their higher density, move more slowly. The SRM results closely align with those from Maple, confirming the method’s accuracy.Keywords
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Copyright © 2025 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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