Development of machine learning algorithm for assessment of heat transfer of ternary hybrid nanofluid flow towards three different geometries: Case of artificial neural network

The focus of this paper revolves around the examination of flow of ternary hybrid nanofluid, specifically the Al(2)O(3)–Cu-CNT/water mixture, with buoyancy effect, across three distinct geometries: a wedge, a flat plate, and a cone. The study takes into account the presence of quadratic thermal radi...

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Detalles Bibliográficos
Autores principales: Mishra, Ashish, Rawat, Sawan Kumar, Yaseen, Moh, Pant, Manish
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10660166/
https://www.ncbi.nlm.nih.gov/pubmed/38027640
http://dx.doi.org/10.1016/j.heliyon.2023.e21453

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10660166/
https://www.ncbi.nlm.nih.gov/pubmed/38027640
http://dx.doi.org/10.1016/j.heliyon.2023.e21453

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