Prediction of critical heat flux for narrow rectangular channels in a steady state condition using machine learning

Prediction of critical heat flux for narrow rectangular channels in a steady state condition using machine learning

The subchannel of a research reactor used to generate high power density is designed to be narrow and rectangular and comprises plate-type fuels operating under downward flow conditions. Critical heat flux (CHF) is a crucial parameter for estimating the safety of a nuclear fuel; hence, this paramete...

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Bibliographic Details
Main Authors: Huiyung Kim, Jeongmin Moon, Dongjin Hong, Euiyoung Cha, Byongjo Yun
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Nuclear Engineering and Technology
Subjects:
Narrow rectangular channel
Critical heat flux
Machine learning
Neural network
Downward flow
Online Access:http://www.sciencedirect.com/science/article/pii/S173857332030975X

Internet

http://www.sciencedirect.com/science/article/pii/S173857332030975X

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