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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| 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 |