CIESC Journal

• RESEARCH PAPERS • 上一篇    下一篇

添加剂强化沸腾传热的综合评价及预测

刘天庆; 孙相玉   

  1. School of Chemical Engineering, Dalian University of Technology, Dalian 116012, China
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2001-03-28 发布日期:2001-03-28
  • 通讯作者: 刘天庆

Comprehensive Evaluation and Prediction of Enhancement of Boiling Heat Transfer with
Additives

LIU Tianqing; SUN Xiangyu   

  1. School of Chemical Engineering, Dalian University of Technology, Dalian 116012, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2001-03-28 Published:2001-03-28
  • Contact: LIU Tianqing

摘要: A model of evaluation and prediction of enhancement of boiling heat transfer with additives
has been propoeed according to fuzzy fundamentals. Correlative appraisement of boiling heat
transfer augmentation was done with the model based on 39 additives which were tested by
the authors and other researchers. The results show that the evaluation of 35 additives is
consistent with experiments, which means that the accuracy of the model is 89.7 percent. In
addition, the prediction of the ability of boiling heat transfer enhancement with sodium
oleate,polyethylene glycol and Tween-40 is also in good agreement with correspondent
experiments.

关键词: heat transfer;prediction;boiling enhancement;additives;comprehensive evaluation

Abstract: A model of evaluation and prediction of enhancement of boiling heat transfer with additives
has been propoeed according to fuzzy fundamentals. Correlative appraisement of boiling heat
transfer augmentation was done with the model based on 39 additives which were tested by
the authors and other researchers. The results show that the evaluation of 35 additives is
consistent with experiments, which means that the accuracy of the model is 89.7 percent. In
addition, the prediction of the ability of boiling heat transfer enhancement with sodium
oleate,polyethylene glycol and Tween-40 is also in good agreement with correspondent
experiments.

Key words: heat transfer, prediction, boiling enhancement, additives, comprehensive evaluation