S. Ramprasad, Nagabhushana Pulla, Y. S. Kalyan Chakravarthy
{"title":"Finite element analysis for electro-osmotic Erying-Powell fluid flow past a stretching sheet with an exponential heat source - an ANN approach","authors":"S. Ramprasad, Nagabhushana Pulla, Y. S. Kalyan Chakravarthy","doi":"10.36963/ijtst.2023100301","DOIUrl":null,"url":null,"abstract":"This paper gives the numerical analysis for an electro-osmotic Eyring-Powell fluid flow that is in two dimensions along a stretched sheet. The modified governing equations are resolved by the finite element technique. Graphs are used to display the various properties for several relevant factors on dimensionless velocity and temperature fields. The results are compared with previous findings in order to confirm the accuracy of the numerical solution. There appears to be a decrease in velocity when the magnetic parameter and Eckret number increase. This study has implications for fluidization, environmental pollutants, and agriculture. In this study, computational fluid dynamics (CFD) simulations and an artificial neural network (ANN) model are both employed.","PeriodicalId":36637,"journal":{"name":"International Journal of Thermofluid Science and Technology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Thermofluid Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36963/ijtst.2023100301","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
This paper gives the numerical analysis for an electro-osmotic Eyring-Powell fluid flow that is in two dimensions along a stretched sheet. The modified governing equations are resolved by the finite element technique. Graphs are used to display the various properties for several relevant factors on dimensionless velocity and temperature fields. The results are compared with previous findings in order to confirm the accuracy of the numerical solution. There appears to be a decrease in velocity when the magnetic parameter and Eckret number increase. This study has implications for fluidization, environmental pollutants, and agriculture. In this study, computational fluid dynamics (CFD) simulations and an artificial neural network (ANN) model are both employed.