Melting of non-Newtonian phase change material in a finned triple-tube: Efficacy of non-uniform magnetic field

Farahani, Somayeh Davoodabadi; Farahani, Amir Davoodabadi; Tayebzadeh, Fatemeh; Mosavi, Amir

doi:10.1016/j.csite.2021.101543

Cited by 19 publications

(1 citation statement)

References 26 publications

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“…Further investigations of melting phenomenon are illustrated in Refs. [5][6][7][8][9][10] Fluids as carriers are used in a variety of heat transfer equipment. The efficiency of these devices can be improved by enhancing the thermal conductivity of fluids.…”

Section: Introductionmentioning

confidence: 99%

Melting aspects in flow of second grade nanomaterial with homogeneous–heterogeneous reactions and irreversibility phenomenon: A residual error analysis

Alzahrani

Khan

2022

Progress in Reaction Kinetics and Mechanism

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Here, we scrutinize the entropy analysis in magnetohydrodynamic flow of second-grade nanomaterials with melting effect subject to stretchable bended surface. Heat attribution is modeled through first law of thermodynamics with radiation effect. Major physical effect of random and thermophoretic motion is also addressed. Feature of irreversibility (entropy rate) analysis is also discussed. Isothermal cubic autocatalyses chemical reaction at catalytic surface is discussed. Nonlinear dimensionless differential system is developed through adequate transformation. Optimal homeotypic analysis method (OHAM) is employed to construct convergent solution. Influence of physical variables on entropy rate, fluid flow, concentration, and thermal field is discussed. An augmentation in fluid flow is noticed through curvature variable, while reverse effect holds for magnetic variable. A reverse effect holds for fluid flow and thermal field through melting variable. Entropy analysis is augmented with variation in melting variable. Reduction occurs in concentration through thermophoretic variable, while an opposite effect holds for thermal field. An increment in melting variable leads to reduced concentration. Larger estimation of radiation variable improves entropy analysis.

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