Chaotic analysis of temperature time series of pulsating heat pipe

SONG Yanxi; XU Jinliang

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Chaotic analysis of temperature time series of pulsating heat pipe

更新时间：2025-12-10

- Chaotic analysis of temperature time series of pulsating heat pipe
- CIESC Journal Issue 10, Pages: 2470-2477(2008)
- 作者机构：
  
  1. 中国科学院广州能源研究所
  2. 中国科学技术大学热科学与能源系
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：05 October 2008，
  
  Published：05 October 2008
- 稿件说明：
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SONG Yanxi, XU Jinliang. Chaotic analysis of temperature time series of pulsating heat pipe[J]. CIESC Journal, 2008, (10): 2470-2477.
DOI：

SONG Yanxi, XU Jinliang. Chaotic analysis of temperature time series of pulsating heat pipe[J]. CIESC Journal, 2008, (10): 2470-2477. DOI：

摘要

运用功率谱分析、自相关分析、关联维数和K熵、R/S分析等线性和非线性分析技术对以FC-72和水为工质的脉冲热管温度波动信号进行了定性和定量研究．研究表明：波动信号具有确定性混沌特性，其重构的动力学系统具有非整数值的关联维，范围在2.5~11之间，K熵为有限正值。Hurst指数在0.8~1之间，表明温度波动信号有强烈的长程相关性。传热特性和关联维之间有密切的联系，热阻越小时关联维数越大。

Abstract

Temperature oscillation signal of pulsating heat pipes was studied quantitatively and qualitatively by means of analyses of power spectrum

auto-correlation function

correlation dimension

Kolmogorov entropy and rescaled range statistical analysisThe results showed that the system had deterministic chaotic characteristics which featured non-integer value of correlation dimension about 2.5—11 and positive Kolmogorov entropyMost Hurst exponents were between 0.8 and 1

indicating long range correlationThermal performance was tied with correlation dimension.Higher correlation dimension indicated lower thermal resistance.

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