Parametric analysis and minimization of entropy generation in bioinspired magnetized non-Newtonian nanofluid pumping using artificial neural networks and particle swarm optimization
(2021)
Journal Article
Abbas, M., Beg, O., Zeeshan, A., Hobiny, A., & Bhatti, M. (2021). Parametric analysis and minimization of entropy generation in bioinspired magnetized non-Newtonian nanofluid pumping using artificial neural networks and particle swarm optimization. Thermal Science and Engineering Progress, 24, 100930. https://doi.org/10.1016/j.tsep.2021.100930
Magnetohydrodynamic rheological bio-inspired pumping systems are finding new
applications in modern energy systems. These systems combined the electrically conducting properties of
flowing liquids with rheological behaviour, biological geometries a...
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