Numerical study of the effects of twisted-tape inserts on heat transfer parameters and pressure drop across a tube carrying graphene oxide nanofluid: an optimization by implementation of artificial neural network and genetic algorithm

DOI10.1016/J.ENGANABOUND.2022.04.006OpenAlexW4223484040MaRDI QIDQ2161576

Seyed Amin Bagherzadeh, Ali Rezaei Miandoab, Amir Homayoon Meghdadi Isfahani

Publication date: 4 August 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.2022.04.006

zbMATH Keywords

turbulent flowgenetic algorithmartificial neural networktwisted tapeheat transfer and pressure dropwater-graphene oxide nanofluid

Mathematics Subject Classification ID

Biology and other natural sciences (92-XX) Fluid mechanics (76-XX)

Related Items (1)

Predicting elemental stiffness matrix of FG nanoplates using Gaussian process regression based surrogate model in framework of layerwise model

Cites Work

• H\(_\infty\) optimal performance design of an unstable plant under Bode integral constraint
• Turbulent heat transfer and friction factor of Al\(_{2}\)O\(_{3}\) nanofluid in circular tube with twisted tape inserts
• Retracted: Combined impact of Cattaneo-Christov double diffusion and radiative heat flux on bio-convective flow of Maxwell liquid configured by a stretched nano-material surface
• NUMERICAL SOLUTION OF TRAVELING WAVES IN CHEMICAL KINETICS: TIME-FRACTIONAL FISHERS EQUATIONS

This page was built for publication: Numerical study of the effects of twisted-tape inserts on heat transfer parameters and pressure drop across a tube carrying graphene oxide nanofluid: an optimization by implementation of artificial neural network and genetic algorithm