2016
DOI: 10.3390/e18040117
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Entropy Generation on MHD Blood Flow of Nanofluid Due to Peristaltic Waves

Abstract: This present study describes the entropy generation on magnetohydrodynamic (MHD) blood flow of a nanofluid induced by peristaltic waves. The governing equation of continuity, equation of motion, nano-particle and entropy equations are solved by neglecting the inertial forces and taking long wavelength approximation. The resulting highly non-linear coupled partial differential equation has been solved analytically with the help of perturbation method. Mathematical and graphical results of all the physical param… Show more

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Cited by 87 publications
(51 citation statements)
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References 36 publications
(41 reference statements)
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“…They described that entropy generation rate achieved at its maximum point in the absence of porosity and magnetic field. Some more pertinent studies on entropy generation can be found in references [31][32][33][34][35][36][37][38].…”
Section: Introductionmentioning
confidence: 99%
“…They described that entropy generation rate achieved at its maximum point in the absence of porosity and magnetic field. Some more pertinent studies on entropy generation can be found in references [31][32][33][34][35][36][37][38].…”
Section: Introductionmentioning
confidence: 99%
“…They analyzed that peristalsis is a great entropy generator process, due essentially to dynamic irreversibility. Some more interesting studies in this direction can be consulted in References [36][37][38][39]. Existing literature witnesses that no attention is focused so far on the study of entropy generation on mixed convection [9,[40][41][42][43][44] peristaltic flow in the presence of nanoparticles.…”
Section: Introductionmentioning
confidence: 99%
“…The findings suggested a positive correlation between entropy generation and an increase in the Brinkman number, Reynolds number, Hartmann number and porosity. The study of entropy generation with MHD flow peristaltic blood of nanofluid across a porous medium was considered by Rashidi et al [19]. The system was solved numerically using the homotopy perturbation method (HPM).…”
Section: Introductionmentioning
confidence: 99%