Study on Measure Approach of Void Fraction in Narrow Channel Based on Fully Convolutional Neural Network

Study on Measure Approach of Void Fraction in Narrow Channel Based on Fully Convolutional Neural Network

Void fraction is one of the key parameters for gas-liquid study and detection of nuclear power system state. Based on fully convolutional neural network (FCN) and high-speed photography, an indirect void fraction measure approach for flow boiling condition in narrow channels is developed in this pap...

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Bibliographic Details
Main Authors: Wenjun Chu, Yang Liu, Liqiang Pan, Hongye Zhu, Xingtuan Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Energy Research
Subjects:
boiling two-phase flow
narrow channel
void fraction measurement
deep learning
convolutional neural network
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2021.636813/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2021.636813/full

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