Fang Xiande
Professor Supervisor of Doctorate Candidates
Main positions:国际期刊《Aerospace Science and Technology》副主编
Other Post:国际期刊《International Journal of Thermofluid Science and Technology》主编
Gender:Male
Alma Mater:中国科学技术大学
Education Level:With Certificate of Graduation for Doctorate Study
Degree:Doctoral Degree in Engineering
School/Department:College of Aerospace Engineering
Discipline:Engineering Thermophysics. Man-machine-environment system engineering. Refrigeration and Cryogenic Engineering
Business Address:明故宫流体楼
Contact Information:Email: xd_fang@nuaa.edu.cn Cell: 13675121205
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Affiliation of Author(s):航空学院
Journal:INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
Key Words:Flow boiling Heat transfer coefficient Correlation Prediction method Evaporation
Abstract:A general correlation for heat transfer coefficients of saturated flow boiling is developed based on the first experimental database consisting of 17,778 data points from 101 sources and 13 different fluids. The new correlation makes a significant breakthrough in the prediction accuracy for saturated flow boiling heat transfer, achieving a mean absolute deviation (MAD) of 4.5% against the database, with 68.1% and 89.7% of the data falling within +/- 5% and +/- 10% error bands, respectively. The new correlation is validated and compared with 45 existing correlations on the base of the second database of saturated flow boiling heat transfer. The second database contains 6664 data points from 60 sources and 18 different fluids and has no duplicate data from the first. The validation results show that the new correlation has an MAD of 4.4% against the second database, with 69.0% and 93.5% of the data within +/- 5% and +/- 10% error bands respectively, further confirming its superior prediction accuracy and reliability. The best existing correlation for the second database, meanwhile, has an MAD of 26.0%, with only 13.0% and 26.0% of the data falling within +/- 5% and +/- 10% error bands, respectively. The new correlation is applicable to various channel sizes, flow directions, and flow regimes. (C) 2016 Elsevier Ltd. All rights reserved.
ISSN No.:0017-9310
Translation or Not:no
Date of Publication:2017-04-01
Co-author:wq,Yuan, Yuliang
Correspondence Author:Fang Xiande