过冷沸腾起始点预测关系式研究

李必成; 和丹辉; 郭赟

doi:10.11889/j.0253-3219.2016.hjs.39.040502

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过冷沸腾起始点预测关系式研究

更新时间：2021-05-25

- 过冷沸腾起始点预测关系式研究
- Investigation of the onset of sub-cooled boiling prediction correlation
- 核技术 2016年39卷第4期文章编号：040502
- 作者机构：
  
  1.中核辽宁核电有限公司兴城 125100;
  2.中国科学技术大学核科学技术学院合肥 230026
- 作者简介：
  
  李必成,男,1978年出生,2002年毕业于西安交通大学,现主要从事核电站技术分析与核岛设计管理工作
  郭赟,E-mail:guoyun79@ustc.edu.cn
- 基金信息：
  
  国家自然科学青年基金(No.11305169)资助()
- DOI：10.11889/j.0253-3219.2016.hjs.39.040502
  中图分类号： TL331
- 收稿日期：2015-12-08，
  
  录用日期：2016-01-30，
  
  纸质出版日期：2016-01-25
- 稿件说明：
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李必成, 和丹辉, 郭赟. 过冷沸腾起始点预测关系式研究[J]. 核技术, 2016,39(4):040502

Bicheng LI, Danhui HE, Yun GUO. Investigation of the onset of sub-cooled boiling prediction correlation[J]. Nuclear techniques, 2016, 39(4): 040502
李必成, 和丹辉, 郭赟. 过冷沸腾起始点预测关系式研究[J]. 核技术, 2016,39(4):040502 DOI： 10.11889/j.0253-3219.2016.hjs.39.040502.

Bicheng LI, Danhui HE, Yun GUO. Investigation of the onset of sub-cooled boiling prediction correlation[J]. Nuclear techniques, 2016, 39(4): 040502 DOI： 10.11889/j.0253-3219.2016.hjs.39.040502.

摘要

本文认为过冷沸腾起始点为一个流程段

起于气泡开始汽化点

终于气泡脱离气穴点。基于这一假设建立了更为符合实际的过冷沸腾起始点气泡模型

在此基础上

用唯象方法获得了气泡半径公式及壁面过热度与热流密度关系式

并与实验数据进行了比对

其误差分布更加合理。

Abstract

Background:

The predicted superheat degree of the onset of boiling point is always lower than that of experiment. Hence

a new model is necessary for the accuracy prediction in engineering calculation.

Purpose:

This study aims to investigate the reason of deviation and bring out a new prediction model

which can be used in engineering analysis directly and simply.

Methods:

Based on the vapor growth model and the viewpoint of force balance

the onset of fluid vaporization(OFV) and onset of nucleate boiling(ONB) points are separated. Thereby a new analysis model is built and combined with phenomenological analysis method.

Results:

The formulas to predict the bubble radius and the relationship of the wall superheat degree and heat flux at OFV and ONB are obtained. Compared with the existing experimental data

the error distribution is more rational.

Conclusion:

The presented model can improve predicted results for distinguishing OFV and ONB under the limitation of experimental measuring equipment. However

more experimental da

ta validation is necessary.

关键词

Keywords

references

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