Data-Driven Modeling of Geometry-Adaptive Steady Heat Convection Based on Convolutional Neural Networks

Data-Driven Modeling of Geometry-Adaptive Steady Heat Convection Based on Convolutional Neural Networks

Heat convection is one of the main mechanisms of heat transfer, and it involves both heat conduction and heat transportation by fluid flow; as a result, it usually requires numerical simulation for solving heat convection problems. Although the derivation of governing equations is not difficult, the...

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Bibliographic Details
Main Authors: Jiang-Zhou Peng, Xianglei Liu, Zhen-Dong Xia, Nadine Aubry, Zhihua Chen, Wei-Tao Wu
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Fluids
Subjects:
heat transfer
heat convection
data-driven model
convolution neural networks
signed distance function
Online Access:https://www.mdpi.com/2311-5521/6/12/436

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