Estimation of entropy generation for ag-mgo/water hybrid nanofluid flow through rectangular minichannel by using artificial neural network
dc.contributor.author | Uysal, Cüneyt | |
dc.contributor.author | Korkmaz, Mehmet Erdi | |
dc.date.accessioned | 2024-09-29T16:33:24Z | |
dc.date.available | 2024-09-29T16:33:24Z | |
dc.date.issued | 2019 | |
dc.department | Karabük Üniversitesi | en_US |
dc.description.abstract | The convective heat transfer and entropy generation characteristics of Ag-MgO/water hybrid nanofluid flow through rectangular minichannel were numerically investigated. The Reynolds number was in the range of 200 to 2000 and different nanoparticle volume fractions were varied between = 0.005 and 0.02. In addition, Artificial Neural Network was used to create a model for estimating of entropy generation of Ag-MgO/water hybrid nanofluid flow. As a result, it was found that the convective heat transfer coefficient for = 0.02 Ag-MgO/water hybrid nanofluid is 21.29% higher than that of pure water, at Re=2000. Total entropy generation of Ag-MgO/water hybrid nanofluid increased with increasing nanoparticle volume fraction. The results obtained by ANN showed good agreement with the numerical results obtained in this study. | en_US |
dc.identifier.endpage | 51 | en_US |
dc.identifier.issn | 1302-0900 | |
dc.identifier.issue | 1 | en_US |
dc.identifier.startpage | 41 | en_US |
dc.identifier.trdizinid | 315513 | en_US |
dc.identifier.uri | https://search.trdizin.gov.tr/tr/yayin/detay/315513 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14619/11846 | |
dc.identifier.volume | 22 | en_US |
dc.indekslendigikaynak | TR-Dizin | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Politeknik Dergisi | en_US |
dc.relation.publicationcategory | Makale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Mühendislik | en_US |
dc.subject | Elektrik ve Elektronik | en_US |
dc.subject | Bilgisayar Bilimleri | en_US |
dc.subject | Yazılım Mühendisliği | en_US |
dc.subject | Mühendislik | en_US |
dc.subject | Makine | en_US |
dc.subject | Mühendislik | en_US |
dc.subject | Jeoloji | en_US |
dc.subject | Bilgisayar Bilimleri | en_US |
dc.subject | Bilgi Sistemleri | en_US |
dc.subject | Bilgisayar Bilimleri | en_US |
dc.subject | Donanım ve Mimari | en_US |
dc.subject | Mühendislik | en_US |
dc.subject | Kimya | en_US |
dc.title | Estimation of entropy generation for ag-mgo/water hybrid nanofluid flow through rectangular minichannel by using artificial neural network | en_US |
dc.type | Article | en_US |