Prediction of MHD flow and entropy generation by artificial neural network in square cavity with heater-sink for nanomaterial

DOI10.1016/j.physa.2019.123520OpenAlexW2992218439WikidataQ126668167 ScholiaQ126668167MaRDI QIDQ2137620

Yanyan Li

Publication date: 16 May 2022

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2019.123520

zbMATH Keywords

nanofluidANNentropy generationheater-sinkMHD convection

Mathematics Subject Classification ID

Statistical mechanics, structure of matter (82-XX)

Related Items (5)

Simulation of heat transfer in 2D porous tank in appearance of magnetic nanofluid ⋮ Simulation of nanoliquid thermogravitational convection within a porous chamber imposing magnetic and radiation impacts ⋮ Heat transfer aspects in Carreau nanofluid having hybrid nanoparticles through a porous medium ⋮ Unnamed Item ⋮ Corrigendum to: ``Prediction of MHD flow and entropy generation by artificial neural network in square cavity with heater-sink for nanomaterial

Uses Software

• FEAPpv

Cites Work

• MHD mixed convection in a lid-driven cavity with corner heater
• Natural convection heat transfer in a nanofluid-filled trapezoidal enclosure
• Numerical study of transient buoyancy-driven convective heat transfer of water-based nanofluids in a bottom-heated isosceles triangular enclosure
• Evaluating convective heat transfer coefficients using neural networks
• Long-time behavior of a stochastic logistic equation with distributed delay and nonlinear perturbation
• Nanofluid MHD forced convection heat transfer around the elliptic obstacle inside a permeable lid drive 3D enclosure considering lattice Boltzmann method
• Simulation of nanoparticles application for expediting melting of PCM inside a finned enclosure
• Numerical simulation for melting heat transfer and radiation effects in stagnation point flow of carbon-water nanofluid
• Natural convection flows in a trapezoidal enclosure with uniform and non-uniform heating of bottom wall
• Unnamed Item

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