Title | ||
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Eyring-Powell nanofluid flow with nonlinear mixed convection: Entropy generation minimization. |
Abstract | ||
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•The objective of this work is to discuss entropy generation in MHD Eyring–Powell nanofluid flow.•Current analysis included the effects of viscous dissipation, nonlinear mixed convection and Joule heating.•Entropy generation (NG) stated diminish behavior for enhancing values of fluid parameter (δ) while it increases for other parameters.•Bejan number (Be) display enhancing impact for larger (L1) and (δ) while reverse behavior is perceived for (ϵ1) and (Br). Nanoparticles analyzed the consequences of Brownian motion and thermophoresis effects. |
Year | DOI | Venue |
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2020 | 10.1016/j.cmpb.2019.105183 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
Entropy generation,Eyring–Powell nanofluid,Nonlinear mixed convection,MHD,Viscous dissipation,Joule heating | Computer vision,Nusselt number,Computer science,Dissipation,Irreversible process,Combined forced and natural convection,Mechanics,Boundary layer,Artificial intelligence,Thermophoresis,Thermal conductivity,Nanofluid | Journal |
Volume | ISSN | Citations |
186 | 0169-2607 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ahmed Alsaedi | 1 | 48 | 12.75 |
T. Hayat | 2 | 133 | 50.23 |
Sumaira Qayyum | 3 | 0 | 0.68 |
Rabiya Yaqoob | 4 | 0 | 0.34 |