Artificial neural networking (ANN) analysis for heat and entropy generation in flow of non‐Newtonian fluid between two rotating disks

DOI10.1002/MMA.7310zbMath1529.76073OpenAlexW3141742061MaRDI QIDQ6183028

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Publication date: 22 December 2023

Published in: Mathematical Methods in the Applied Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/mma.7310

zbMATH Keywords

porosityactivation energyvelocity slipnonlinear mixed convectionRee-Eyring fluid modeltotal entropy rate

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Non-Newtonian fluids (76A05) Flows in porous media; filtration; seepage (76S05) General theory of rotating fluids (76U05) Free convection (76R10) Forced convection (76R05) Basic methods in fluid mechanics (76M99) Diffusive and convective heat and mass transfer, heat flow (80A19)

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Cites Work

• Unnamed Item
• Entropy generation in MHD radiative flow of CNTs Casson nanofluid in rotating channels with heat source/sink
• Nonlinear dissipative slip flow of Jeffrey nanomaterial towards a curved surface with entropy generation and activation energy
• Deterministic Tree Networks for Fluid Flow: Geometry for Minimal Flow Resistance Between a Volume and One Point

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