EXPERIMENTAL INVESTIGATION ON THE HEAT TRANSFER PERFORMANCE OF HEAT PIPES IN COOLING HEV LITHIUM-ION BATTERIES

2018 ◽  
Vol 49 (17) ◽  
pp. 1745-1760
Author(s):  
Faiza M. Nasir ◽  
Mohd Zulkifly Abdullah ◽  
Mohd A. Ismail
Open Physics ◽  
2020 ◽  
Vol 18 (1) ◽  
pp. 751-760
Author(s):  
Lei Lei

AbstractTraditional testing algorithm based on pattern matching is impossible to effectively analyze the heat transfer performance of heat pipes filled with different concentrations of nanofluids, so the testing algorithm for heat transfer performance of a nanofluidic heat pipe based on neural network is proposed. Nanofluids are obtained by weighing, preparing, stirring, standing and shaking using dichotomy. Based on this, the heat transfer performance analysis model of the nanofluidic heat pipe based on artificial neural network is constructed, which is applied to the analysis of heat transfer performance of nanofluidic heat pipes to achieve accurate analysis. The experimental results show that the proposed algorithm can effectively analyze the heat transfer performance of heat pipes under different concentrations of nanofluids, and the heat transfer performance of heat pipes is best when the volume fraction of nanofluids is 0.15%.


2018 ◽  
Vol 32 (5) ◽  
pp. 411-425 ◽  
Author(s):  
Suvanjan Bhattacharyya ◽  
Ali Cemal Benim ◽  
Himadri Chattopadhyay ◽  
Arnab Banerjee

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