矩形窄通道内临界热流密度的小波分析研究  

Study on Critical Heat Flux Based on Wavelet Transform in Rectangular Narrow Channels

作　　者：周涛[1] 琚忠云[1] 张蕾[1] 李精精[1] 盛程[1] 肖泽军 

机构地区：[1]华北电力大学核热工与安全标准化研究所,北京102206 [2]中核核反应堆热工水力技术重点实验室,四川成都610041

出　　处：《核科学与工程》2014年第3期363-368,共6页Nuclear Science and Engineering

基　　金：国家自然科学基金资助(50976033);华北电力大学校内"211"基金;中国核动力研究设计院空泡物理和自然循环国家重点实验室资助(2007-109)

摘　　要：判定临界热流密度值对于核反应堆安全具有重要价值,观察温升速率是一种可行的办法。通过小波函数对矩形窄通道内临界热流实验温升曲线进行分析,可以消除相对较弱的干扰、有效的判断临界热流密度发生值。矩形窄通道可以强化传热、降低临界热流密度值,应用小波分析处理后的实验温升曲线能够较好的证明矩形窄通道的强化换热特点。分别采用Haar函数和Daubechies函数分析判定,保证了小波分析的准确性。从分析结果中发现Daubechies函数比Haar函数对图像细节信号的处理更准确。同时将小波分析的结果与实验结果对比,发现与实验结果吻合良好。Critical heat flux is very important for nuclear reactor safety, and observing temperature rise rate is a feasible method. Through using the wavelet transform to analyze the CHF temperature rise curves in rectangular narrow channels, it can remove relative weaker interference and effectively judge CHF. Rectangular narrow channel can strengthen heat transfer and reduce CHF, whose characteristics are proved by temperature rise curves analyzed by wavelet transform. Respectively applying Daubechies function and Haar function is for guarantee the accuracy of the wavelet analysis, and Daubechies function is more accurate than Haar function in the detail signal processing from results. While the wavelet analysis and experimental results are compared and found in good agreement with the experimental results.

关 键 词：小波分析 奇异点检测 自然循环 临界热流密度 

分 类 号：TK31[动力工程及工程热物理—热能工程]