Optimization of R245fa Flow Boiling Heat Transfer Prediction inside Horizontal Smooth Tubes Based on the GRNN Neural Network
Joint Authors
Qing, Shan
Liang, Meiling
Zhang, Xiaohui
Zhao, Rong
Wen, Xulin
Zhang, Aimin
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-05
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
An optimal prediction model for flow boiling heat transfer of refrigerant mixture R245fa inside horizontal smooth tubes is proposed based on the GRNN neural network.
The main factors strongly affecting flow boiling such as mass flux rate (G), heat flux (q), quality of vapor-liquid mixture (x), evaporation temperature (Tev), and tube inner diameter (D) are used as the inputs of the model and the flow boiling heat transfer coefficient (h) as the output.
Neural network model is used to optimize the prediction of flow boiling heat transfer coefficient of R245fa in horizontal light pipe through training and learning.
The prediction results are in good agreement with the experimental results.
For the network model of heat transfer, the average deviation is 7.59%, the absolute average deviation is 4.89%, and the root mean square deviation is 10.51%.
The optimized prediction accuracy of flow boiling heat transfer coefficient is significantly improved compared with four frequently used conventional correlations.
The simulation results reveal that the modeling method based on R245fa neural network is feasible to calculate the flow boiling heat transfer coefficient, and it may provide some guidelines for the optimization design of tube evaporators for R245fa.
American Psychological Association (APA)
Liang, Meiling& Zhang, Xiaohui& Zhao, Rong& Wen, Xulin& Qing, Shan& Zhang, Aimin. 2018. Optimization of R245fa Flow Boiling Heat Transfer Prediction inside Horizontal Smooth Tubes Based on the GRNN Neural Network. Complexity،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1136677
Modern Language Association (MLA)
Liang, Meiling…[et al.]. Optimization of R245fa Flow Boiling Heat Transfer Prediction inside Horizontal Smooth Tubes Based on the GRNN Neural Network. Complexity No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1136677
American Medical Association (AMA)
Liang, Meiling& Zhang, Xiaohui& Zhao, Rong& Wen, Xulin& Qing, Shan& Zhang, Aimin. Optimization of R245fa Flow Boiling Heat Transfer Prediction inside Horizontal Smooth Tubes Based on the GRNN Neural Network. Complexity. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1136677
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1136677