OPTIMIZATION OF DARCY-FORCHHEIMER SQUEEZING FLOW IN NONLINEAR STRATIFIED FLUID UNDER CONVECTIVE CONDITIONS WITH ARTIFICIAL NEURAL NETWORK

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dc.authoridShafiq, Anum/0000-0001-7186-7216
dc.authoridColak, Andac Batur/0000-0001-9297-8134
dc.authoridSindhu, Tabassum/0000-0001-9433-4981
dc.contributor.authorShafiq, Anum
dc.contributor.authorColak, Andac Batur
dc.contributor.authorSindhu, Tabassum Naz
dc.contributor.authorMuhammad, Taseer
dc.date.accessioned2024-11-07T13:34:38Z
dc.date.available2024-11-07T13:34:38Z
dc.date.issued2022
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractIn cases when high velocity occurs, non-Darcy phenomena are essential for explaining fluid motion in porous media and have wide range of applications. The present study displays the magnetohydrodynamic (MHD) squeezing flow of fluid through a non-Darcian medium towards a stretched permeable surface. The heat and mass procedures are investigated using convective conditions and nonlinear stratification. The radiation and viscous dissipation phenomena are implemented to enhance the heat transfer. The nonlinear simplified equations are evaluated using a numerical Runge-Kutta fourth-order approach via the shooting process. To see the variation in the relevant fields, graphs of essential parameters have been provided. The Sherwood number, Nusselt number, and the skin friction coefficient were calculated numerically for various parameters and three different artificial neural networks (ANNs) were developed with the obtained data. The obtained results have shown that artificial neural networks can make predictions and optimizations with high accuracy.
dc.description.sponsorshipTalented Young Scientist Program of Ministry of Science and Technology of China (Pakistan)
dc.description.sponsorshipThe first author is supported by the Talented Young Scientist Program of Ministry of Science and Technology of China (Pakistan-19-007).
dc.identifier.endpage89
dc.identifier.issn1064-2285
dc.identifier.issn2162-6561
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85125014656
dc.identifier.scopusqualityQ3
dc.identifier.startpage67
dc.identifier.urihttps://hdl.handle.net/11480/16081
dc.identifier.volume53
dc.identifier.wosWOS:000752416000001
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherBegell House Inc
dc.relation.ispartofHeat Transfer Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241106
dc.subjectsqueezing flow
dc.subjectartificial neural network (ANN)
dc.subjectthermal radiation
dc.subjectMHD
dc.subjectviscous dissipation
dc.subjectconvective boundary conditions
dc.titleOPTIMIZATION OF DARCY-FORCHHEIMER SQUEEZING FLOW IN NONLINEAR STRATIFIED FLUID UNDER CONVECTIVE CONDITIONS WITH ARTIFICIAL NEURAL NETWORK
dc.typeArticle

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