Predicting Air Superficial Velocity of Two-Phase Reactors Using ANFIS and CFD

[Image: see text] In predicting the turbulence property of gas (bubble) flow in the domain of continuous fluid and liquid, the integration of machine learning and computational fluid dynamics (CFD) methods reduces the overall computational time. This combination enables us to see the effective input...

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Detalles Bibliográficos
Autores principales: Babanezhad, Meisam, Rezakazemi, Mashallah, Marjani, Azam, Shirazian, Saeed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2020
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807482/
https://www.ncbi.nlm.nih.gov/pubmed/33458476
http://dx.doi.org/10.1021/acsomega.0c04386

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807482/
https://www.ncbi.nlm.nih.gov/pubmed/33458476
http://dx.doi.org/10.1021/acsomega.0c04386

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