Heat convection and irreversibility of magneto-micropolar hybrid nanofluids within a porous hexagonal-shaped enclosure having heated obstacle DOI Creative Commons

Anil Ahlawat,

Shilpa Chaudhary, K. Loganathan

et al.

Nanotechnology Reviews, Journal Year: 2024, Volume and Issue: 13(1)

Published: Jan. 1, 2024

Abstract The significance of fluid flow under hydrothermal conditions within a hexagonal enclosure spans across numerous fields, underlining its broad applicability. However, our understanding the free convection in these geometries is still limited despite potential importance science and technology. Therefore, this study numerically examines heat entropy generation porous cavity containing heated obstacle while subjected to static magnetic field intensity B 0 . Micropolar hybrid nanofluid, composed TiO 2 graphene oxide nanoparticles, was used fill with water as base fluid. finite difference method associated successive over-relaxation, relaxation, Gauss–Seidel techniques, which are solve dimensionless governing partial differential equations. desired outcomes computed using in-house developed MATLAB codes. A specific result from prior research findings validate accuracy demonstrate that an upsurge Ra 10 4 6 ϕ hnf {\phi }_{{\rm{hnf}}} 4% leads enhancement Nu ABW 53.05 3.14%, respectively. diminishes by approximately 0.797 4.135% Ha increases 20 K 7.5, average Bejan number (Be avg ) consistently decreases increases, but Be improves Ha, vortex viscosity parameter ( ), increase. most important finding work position significantly influences both processes.

Language: Английский

Elucidating thermal phenomena of non-Newtonian experimental data based copper-alumina-ethylene glycol hybrid nanofluid in a cubic enclosure with central heated plate by machine learning validations of D3Q27 MRT-LBM DOI Creative Commons
Md. Mamun Molla, Md Farhad Hasan, Md. Mahadul Islam

et al.

International Journal of Thermofluids, Journal Year: 2025, Volume and Issue: unknown, P. 101033 - 101033

Published: Jan. 1, 2025

Language: Английский

Citations

2
Numerical Investigations of Superconducting Material Cooling Using Buoyancy-Driven Heat Transport in Cryogenic Nanofluids DOI
Sukanta Nayak, Atul Bhattad, Kishore Singh Patel

et al.

Heat Transfer Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 16

Published: Jan. 20, 2025

Language: Английский

Citations

0
Heat and mass transfer of non-Newtonian nanofluids in assisting/reverse flow over shrinking/stretching surfaces in porous media DOI
Hossam A. Nabwey,

A.M.A. EL-Hakiem,

Waqar A. Khan

et al.

Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2025, Volume and Issue: 8(5)

Published: March 19, 2025

Language: Английский

Citations

0
Heat convection and irreversibility of magneto-micropolar hybrid nanofluids within a porous hexagonal-shaped enclosure having heated obstacle DOI Creative Commons

Anil Ahlawat,

Shilpa Chaudhary, K. Loganathan

et al.

Nanotechnology Reviews, Journal Year: 2024, Volume and Issue: 13(1)

Published: Jan. 1, 2024

Abstract The significance of fluid flow under hydrothermal conditions within a hexagonal enclosure spans across numerous fields, underlining its broad applicability. However, our understanding the free convection in these geometries is still limited despite potential importance science and technology. Therefore, this study numerically examines heat entropy generation porous cavity containing heated obstacle while subjected to static magnetic field intensity B 0 . Micropolar hybrid nanofluid, composed TiO 2 graphene oxide nanoparticles, was used fill with water as base fluid. finite difference method associated successive over-relaxation, relaxation, Gauss–Seidel techniques, which are solve dimensionless governing partial differential equations. desired outcomes computed using in-house developed MATLAB codes. A specific result from prior research findings validate accuracy demonstrate that an upsurge Ra 10 4 6 ϕ hnf {\phi }_{{\rm{hnf}}} 4% leads enhancement Nu ABW 53.05 3.14%, respectively. diminishes by approximately 0.797 4.135% Ha increases 20 K 7.5, average Bejan number (Be avg ) consistently decreases increases, but Be improves Ha, vortex viscosity parameter ( ), increase. most important finding work position significantly influences both processes.

Language: Английский

Citations

1