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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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| Publicado en: | ACS Omega |
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| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
American Chemical Society
2020
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| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7807482/ https://ncbi.nlm.nih.gov/pubmed/33458476 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acsomega.0c04386 |
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