Study on the onset of nucleate boiling in narrow annular channel by genetic neural network

被引：10
|
作者：
Wei, Huiming [1 ]
Su, G. H. [1 ]
Tian, W. X. [1 ]
Qiu, S. Z. [1 ]
Yang, X. B. [1 ]
机构：
[1] Xi An Jiao Tong Univ, Dept Nucl Sci & Technol, State Key Lab Multiphase Flow Power Engn, Xian 710049, Peoples R China
来源：
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER | 2010年 / 37卷 / 06期
基金：
中国国家自然科学基金;
关键词：
Onset nucleate boiling; Genetic algorithm; Genetic neural network; Prediction; PREDICTION;
D O I：
10.1016/j.icheatmasstransfer.2009.11.017
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
A study on ONB is performed by GNN in vertical narrow annuli with bilateral heating. Based on GA and ANN, a GNN model predicting non has been developed. The q(ONB) prediction is investigated by GNN with distilled water flowing upward through narrow annuli with 0.95 mm, 1.5 mm and 2.0 mm gaps, respectively. The GNN prediction results have a good agreement with experimental data. A parametric study has been conducted to investigate the effects of system pressure, mass flux, wall superheat and geometrical structure on q(ONB) by applying GNN. Simulation and analysis results show that GNN can effectually predict q(ONB). (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码：596 / 599
页数：4
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