哈尔滨工程大学学报2024，Vol.45Issue(5)：894-901,8.DOI:10.11990/jheu.202107018
小型堆中窄矩形通道自然循环临界热流密度实验研究
Experimental research on natural circulation CHF in narrow rectangular channels
摘要
Abstract
To address the problem of high power in the heat exchange process of narrow rectangular channels and apply it in small reactors,a small,narrow rectangular natural circulation channel was built for the experiment.The BP neural network method predicts the experimental data and analyzes the variation of critical heat flux with differ-ent parameters under different conditions and the influence of different parameters on critical heat flux.Results re-vealed that the influence of mass flow and system pressure on(critical heat flux density)CHF points was positively correlated,outlet dryness and CHF were negatively correlated,the influence of mass flow on CHF was the greatest,and the influence of pressure on CHF was the smallest.Using relevant experimental data and considering the size of the influencing factors,a model for naturally circulated small piles in a narrow channel was established based on the BP neural network.The predicted value of the BP neural network algorithm was agreed with the experimental val-ue,with an error of 10％;the Katto model has a large error compared with the experimental data,and the error be-tween the Zhang and fitting formulas is small.The established CHF model can be used as the calculation formula for critical heat flux density in the natural circulation of a narrow rectangular channel.关键词
窄矩形通道/自然循环/临界热流密度/BP神经网络/小堆/出口干度/质量流量/出口温度Key words
narrow rectangular channel/natural circulation/CHF/BP neural network/small reactor/outlet dry-ness/mass flow rate/exit temperature分类
核科学引用本文复制引用
周涛,陈宁,姚垚,许鹏,蒋屹,陈娟..小型堆中窄矩形通道自然循环临界热流密度实验研究[J].哈尔滨工程大学学报,2024,45(5):894-901,8.基金项目
国家重点研发计划(2020YFB1901703) （2020YFB1901703）
中国核动力设计研究院横向委托项目(JDYYII-05-FWHT-GKJT-2022030). （JDYYII-05-FWHT-GKJT-2022030）
