Investigation of Machine Learning Regression Techniques to Predict Critical Heat Flux Over a Large Parameter Space

IF 1.5 4区工程技术 Q2 NUCLEAR SCIENCE & TECHNOLOGY

Nuclear Technology Pub Date : 2024-08-05 DOI:10.1080/00295450.2024.2380580

Emil Helmryd Grosfilley, Gustav Robertson, Jerol Soibam, Jean-Marie Le Corre

引用次数: 0

Abstract

A unifying and accurate model to predict critical heat flux (CHF) over a wide range of conditions has been elusive since wall boiling research emerged. With the release of the experimental data uti...

查看原文本刊更多论文

研究机器学习回归技术如何在较大参数空间内预测临界热通量

自壁沸腾研究出现以来，一直没有一个统一而准确的模型来预测各种条件下的临界热通量（CHF）。随着实验数据的发布，...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Nuclear Technology 工程技术-核科学技术

CiteScore

3.40

自引率

6.70%

发文量

116

审稿时长

4-8 weeks

期刊介绍： Nuclear Technology aims to be the leading international publication reporting new information in the practical applications of nuclear science and technology. We publish technical papers, technical notes, critical reviews, rapid communications, book reviews, and letters to the editor on all phases of applications of fundamental research to nuclear technology.