Application of NARX neural networks in thermal dynamics identification of a pulsating heat pipe

Ya Wei Lee*, Tien Li Chang

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

38 引文 斯高帕斯(Scopus)

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
50
發行號4
DOIs
出版狀態已發佈 - 2009 4月
對外發佈

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

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