Open Access

ARTICLE

Performance Evaluation of Small-channel Pulsating Heat Pipe Based on Dimensional Analysis and ANN Model

Xuehui Wang¹, Edward Wright¹, Zeyu Liu¹, Neng Gao^2,*, Ying Li³

1 Fluids and Thermal Engineering Research Group, Faculty of Engineering, University of Nottingham, Nottingham, NG7 2RD, UK
2 Ningbo Tech University, Ningbo, 315100, China
3 Research Centre for Fluids and Thermal Engineering, University of Nottingham Ningbo China, Ningbo, 315100, China

* Corresponding Author: Neng Gao. Email:

(This article belongs to this Special Issue: Micro-nano scale heat transfer enhancement technology)

Energy Engineering 2022, 119(2), 801-814. https://doi.org/10.32604/ee.2022.018241

Received 09 July 2021; Accepted 10 September 2021; Issue published 24 January 2022

Abstract

The pulsating heat pipe is a very promising heat dissipation device to address the challenge of higher heat-flux electronic chips, as it is characterised by excellent heat transfer ability and flexibility for miniaturisation. To boost the application of PHP, reliable heat transfer performance evaluation models are especially important. In this paper, a heat transfer correlation was firstly proposed for closed PHP with various working fluids (water, ethanol, methanol, R123, acetone) based on collected experimental data. Dimensional analysis was used to group the parameters. It was shown that the average absolute deviation (AAD) and correlation coefficient (r) of the correlation were 40.67% and 0.7556, respectively. For 95% of the data, the prediction of thermal resistance and the temperature difference between evaporation and condensation section fell within 1.13 K/W and 40.76 K, respectively. Meanwhile, an artificial neural network model was also proposed. The ANN model showed a better prediction accuracy with a mean square error (MSE) and correlation coefficient (r) of 7.88e-7 and 0.9821, respectively.

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Keywords

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