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Predicting of thermal resistances of closed vertical meandering pulsating heat pipe using artificial neural network model

Wang, Xuehui, Li, Bo, Yan, Yuying, Gao, Neng, Chen, Guangming (2019) Predicting of thermal resistances of closed vertical meandering pulsating heat pipe using artificial neural network model. Applied Thermal Engineering, 149 . pp. 1134-1141. ISSN 1359-4311. (doi:10.1016/j.applthermaleng.2018.12.142) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:87702)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
https://doi.org/10.1016/j.applthermaleng.2018.12.1...

Abstract

It is very important to develop a reliable method for the application of the pulsating heat pipe (PHP), however, the currently proposed heat transfer correlations or theoretical models still have some apparent shortcomings, such as great deviation and poor flexibility. Considering the advantages of artificial neural network (ANN) in analyzing complex systems, a fully connected feed forward ANN model was used to predict the thermal resistance of a closed vertical meandering PHP with water. The Number of turns, filling ratio, heat flux, inner diameter and the length ratio of evaporation section were selected as the input parameters. By applying a trial-and-error method, the neuron number in the hidden layer was optimized to be 10. A total of 221 points of experimental data under different working conditions collected from the published literature were applied to build the ANN model. The results showed a good agreement between the experimental data and the ANN model with the MSE and correlation coefficient of 0.0025 and 0.9962, respectively. Furthermore, the influence of the heat flux on the relative deviation was also investigated. It suggested that the ANN model could have better prediction results when the heat flux was within the range of 6500–14,500 W/m2.

Item Type: Article
DOI/Identification number: 10.1016/j.applthermaleng.2018.12.142
Uncontrolled keywords: Pulsating heat pipe; ANN model; Oscillation motions; Heat transfer; Thermal resistance
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TJ Mechanical engineering and machinery > Control engineering
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Amy Boaler
Date Deposited: 21 Apr 2021 13:35 UTC
Last Modified: 22 Apr 2021 10:02 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/87702 (The current URI for this page, for reference purposes)
Li, Bo: https://orcid.org/0000-0002-1973-1570
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