2021
DOI: 10.1108/hff-04-2021-0288
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Entropy generation and heat transport of Cu–water nanoliquid in porous lid-driven cavity through magnetic field

Abstract: Purpose The purpose of this paper is to investigate the effects of Ha and the Nanoparticles (NP) volume fraction over the irreversibility and heat transport in Darcy–Forchheimer nanofluid saturated lid-driven porous medium. Design/methodology/approach The present paper highlights entropy generation because of mixed convection for a lid-driven porous enclosure filled through a nanoliquid and submitted to a uniform magnetic field. The analysis is achieved using Darcy–Brinkman–Forchheimer technique. The set of … Show more

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Cited by 86 publications
(36 citation statements)
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“…Other authors [44,45] studied convective flow inside enclosures with different hot-shaped inner cylinders. Several other references were utilized to establish this work [46][47][48][49][50][51].…”
Section: Introductionmentioning
confidence: 99%
“…Other authors [44,45] studied convective flow inside enclosures with different hot-shaped inner cylinders. Several other references were utilized to establish this work [46][47][48][49][50][51].…”
Section: Introductionmentioning
confidence: 99%
“…Bhatti and Abdelsalam 25 studied impacts of hybrid nanoparticles in peristaltic propulsion under action of magnetic effects. Marzougui et al 26 captured features of magnetic field in entropy generation and energy transfer in the presence of nanofluid. Pushpa et al 27 determined phenomena of convective flow inserting approach of nanofluid in thin baffle.…”
Section: Introductionmentioning
confidence: 99%
“…Pushpa et al 5 simulated numerical consequences of nanoparticles in convective flow including heat dissipation in thin baffle. Marzougui et al 6 used lid driven cavity to conduct numerical consequences in the presence of entropy generation inserting nanoparticles under magnetic field. Shafiq et al 7 discussed fluidic effects in Walters’ B fluid including stagnation point flow in a Riga plate using thermal radiation via statistical method.…”
Section: Introductionmentioning
confidence: 99%