Analysis of the effect of arrhenius activation energy and temperature dependent viscosity on non-newtonian maxwell nanofluid bio-convective flow with partial slip by artificial intelligence approach

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dc.contributor.authorÇolak, Andaç Batur
dc.date.accessioned2024-11-07T10:40:18Z
dc.date.available2024-11-07T10:40:18Z
dc.date.issued2022
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractThis study focused on the analysis of partial slip effect of Arrhenius activation energy and temperature dependent viscosity on non-Newtonian Maxwell nanofluid bio-convective flow using artificial intelligence approach. Local Nusselt number, local Sherwood number and local density number values, which are dimensionless flow parameters, have been used to examine the said effect. Three different artificial neural network models have been developed using the numerically obtained data sets. Each of the feed forward back propagation multilayer perceptron network models has been developed with different input parameters. 80% of the data set has been used for training the model and 20% for the testing phase. The estimation performance of the network models developed with the Bayesian regularization training algorithm has been extensively analyzed, and the compatibility between the estimation values and the target data has been examined. The findings have shown that artificial neural network models have been developed to make predictions with high accuracy. In addition, artificial neural networks have also proven to be an ideal engineering tool that can be used to analyze the partial slip effect of non-Newtonian Maxwell nanofluids on bio-convective flow. © 2022
dc.identifier.doi10.1016/j.ctta.2022.100039
dc.identifier.issn2667-3126
dc.identifier.scopus2-s2.0-85126235532
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1016/j.ctta.2022.100039
dc.identifier.urihttps://hdl.handle.net/11480/11562
dc.identifier.volume6
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier B.V.
dc.relation.ispartofChemical Thermodynamics and Thermal Analysis
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241106
dc.subjectArrhenius activation energy
dc.subjectArtificial neural network
dc.subjectBio-convective flow
dc.subjectMaxwell nanofluid
dc.subjectTemperature-dependent viscosity
dc.titleAnalysis of the effect of arrhenius activation energy and temperature dependent viscosity on non-newtonian maxwell nanofluid bio-convective flow with partial slip by artificial intelligence approach
dc.typeArticle

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