Thermal Performance in Convection Flow of Nanofluids Using a Deep Convolutional Neural Network

Thermal Performance in Convection Flow of Nanofluids Using a Deep Convolutional Neural Network

This study develops a geometry adaptive, physical field predictor for the combined forced and natural convection flow of a nanofluid in horizontal single or double-inner cylinder annular pipes with various inner cylinder sizes and placements based on deep learning. The predictor is built with a conv...

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Bibliographic Details
Main Authors: Yue Hua, Jiang-Zhou Peng, Zhi-Fu Zhou, Wei-Tao Wu, Yong He, Mehrdad Massoudi
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Energies
Subjects:
nanofluids
geometry adaptive
deep convolutional neural network
inner cylinder configuration design
Online Access:https://www.mdpi.com/1996-1073/15/21/8195

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https://www.mdpi.com/1996-1073/15/21/8195

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