摘要
The pulsating heat pipe (PHP) receiving much attention in industries is a novel type of cooling device. The distinguishing feature of PHPs is the unsteady flow oscillations formed by the passing non-uniform distributions of vapour plugs and liquid slugs. This study introduces a methodology of a non-linear auto-regressive with exogenous (NARX) neural network to analyze the thermal dynamics of a PHP in both the time and frequency domains. Three heating powers: 30, 70, and 110 W are tested, and all the predicted results are presented in quite good agreement with the measured results. Herein, the harmonic analysis of the non-linear structure can be equivalently conducted with generalized frequency response functions (GFRFs). Based on the non-linear coupling between the various input spectral components, the interpretations of the higher order GFRFs have been extensively presented for demonstrating the non-linear effects on the heat transfer of a PHP at different operating conditions. Crown
原文 | 英語 |
---|---|
頁(從 - 到) | 1069-1078 |
頁數 | 10 |
期刊 | Energy Conversion and Management |
卷 | 50 |
發行號 | 4 |
DOIs | |
出版狀態 | 已發佈 - 2009 4月 |
對外發佈 | 是 |
ASJC Scopus subject areas
- 可再生能源、永續發展與環境
- 核能與工程
- 燃料技術
- 能源工程與電力技術