Use of neural network and machine learning in optimizing heat transfer and entropy generated in a cavity filled with nanofluid under the influence of magnetic field: a numerical study

DOI10.1016/j.enganabound.2022.03.012OpenAlexW4220951269WikidataQ111522109 ScholiaQ111522109MaRDI QIDQ2128027

Yanyan Li

Publication date: 21 April 2022

Published in: Engineering Analysis with Boundary Elements (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.enganabound.2022.03.012

zbMATH Keywords

radiationmagnetic fieldentropy generationLBMrectangular and triangular blades

Mathematics Subject Classification ID

Fluid mechanics (76-XX) Classical thermodynamics, heat transfer (80-XX)

Related Items (1)

The possibility of availing active and passive methods to achieve a flow with desirable characteristics via using the lattice Boltzmann method

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