Estimation of heat transfer performance on mixed convection in an enclosure with an inner cylinder using an artificial neural network

Estimation of heat transfer performance on mixed convection in an enclosure with an inner cylinder using an artificial neural network

The effect of variations in the aspect ratio (AR) of an inner cylinder on 3D mixed convection is examined by numerical means. Three Reynolds numbers are considered, Re = 100, 500, and 1000, with a fixed Grashof number of 105 and a Prandtl number of 0.7. The flow patterns formed inside the enclosure...

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Bibliographic Details
Main Authors: Hyun Woo Cho, Young Min Seo, Yong Gap Park, Sudhanshu Pandey, Man Yeong Ha
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Case Studies in Thermal Engineering
Subjects:
Three-dimensional mixed convection
Artificial neural network
Inner cylinder
Aspect ratio
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X21007589

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