Modeling and optimization the effective parameters of nanofluid heat transfer performance using artificial neural network and genetic algorithm method
The heat transfer coefficient and, as a result, the Nusselt (Nu) number for nanofluids are affected by parameters such as thermal conductivity, thermal capacity of the fluid and nanoparticles, flow pattern, nanofluid viscosity, volume fraction of suspended particles, particle shape, and size. Since...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Elsevier
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/9a719159c028440b841530d481485bfe |
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