Machine learning-based prediction of heat transport performance in oscillating heat pipe
An oscillating heat pipe (OHP) is a highly efficient cooling system for densely integrated electronic and electric devices operating at high frequencies with high heat generation densities. However, because of the complicated internal flow with phase changes, it is difficult to predict the heat tran...
Main Authors: | Ryo KOYAMA, Kento INOKUMA, Akira MURATA, Kaoru IWAMOTO, Hiroshi SAITO |
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Format: | Article |
Language: | English |
Published: |
The Japan Society of Mechanical Engineers
2022-04-01
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Series: | Journal of Thermal Science and Technology |
Subjects: | |
Online Access: | https://www.jstage.jst.go.jp/article/jtst/17/1/17_21-00413/_pdf/-char/en |
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