Multiple shape factor effects of nanofluids on marangoni mixed convection flow through porous medium

被引:9
作者
Devi, M. Revathi [1 ]
Sivakumar, Narsu [1 ]
Noeiaghdam, Samad [2 ]
Fernandez-Gamiz, Unai [3 ]
机构
[1] SRM Inst Sci & Technol, Coll Engn & Technol, Dept Math, Kattankulathur 603203, Tamil Nadu, India
[2] Irkutsk Natl Res Tech Univ, Baikal Sch BRICE, Ind Math Lab, Irkutsk, Russia
[3] Univ Basque Country UPV EHU, Nucl Engn & Fluid Mech Dept, Nieves Cano 12, Vitoria 01006, Spain
关键词
Nanofluid; Viscous dissipation; Mixed convection; MHD; Irreversibility; HEAT-TRANSFER; HYBRID-NANOFLUID; ENTROPY GENERATION; BOUNDARY; BUOYANCY; SURFACE; CAVITY;
D O I
10.1016/j.rineng.2024.102512
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This study explores the effects of multiple shape factors on nanofluids within Marangoni mixed convection flows through porous media. Nanofluids, containing nanoparticles in a base fluid, show unique thermal properties, making them valuable in cooling systems, energy storage, and medical devices. Marangoni mixed convection, driven by surface tension gradients, adds complexity to fluid dynamics and heat transfer in porous media. Analytical and numerical analyses examine how various particle geometries, nanoparticle volume fractions, and porous medium configurations influence transport phenomena. Entropy analysis calculates thermodynamic irreversibilities. Findings reveal relationships between shape factors, heat transfer rates, velocity profiles, temperature distribution, and entropy generation rates, offering insights for optimizing nanofluid-based systems. The study also investigates magnetic forces, heat source/sink effects, and viscous dissipation on thermal energy transfer in Graphene oxide/water and Molybdenum disulfide/water nanofluids. Using similarity transformations, Partial Differential Equations are converted into Ordinary Differential Equations, solved with HAM and NDSolver by using the Wolfram tools. Results graphically depict velocity, temperature, entropy, and skin friction values, providing practical insights for engineering applications.
引用
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页数:20
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