脉动热管壁温信号的混沌及多尺度特性分析
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摘要
运用自相关函数,功率谱,Hurst指数,小波分解等非线性分析方法对脉动热管壁温信号分析。表明:自相关系数随时间延迟而降低,表现系统有限的预测能力。功率谱呈现连续宽频谱,说明温度波动信号的混沌行为。关联维计算发现无论在何种热负荷下关联维数随嵌入维的增大先增加然后达到饱和值。以丙酮为工质的热管饱和维数为6左右。小波多尺度分析可以看出温度信号里的周期成分,并发现丙酮和去离子水的关联维随分解尺度的增加而降低,实现温度信号的剥离观察。
Various method, including autocorrelation function, analyses of power spectrum, hurst index and wavelet decomposition, were used to analyze the non-linear dynamics characteristics of temperature oscillation signal of pulsating heat pipes(PHPs). The autocorrelation coefficient decreased with time postponed,showing the limited predictive ability of the system. And the power spectrum took on a continuous wide spectrum, indicating the chaotic behavior of the temperature fluctuation signal. According to the calculation of the correlation dimension, we found that under any heat load, the correlation dimension increased first and then reached the saturation value with the increase of embedding dimension. The saturated dimension of heat pipe with acetone as the working fluid is about 6. The multi-scale analysis made it possible for us to know the periodic elements in the temperature signal. In addition, we also found that the associated dimension of acetone and deionized water decreased with the increase of decomposition scale. Finally we implemented the peeling observaion of the temperature signal.
Various method, including autocorrelation function, analyses of power spectrum, hurst index and wavelet decomposition, were used to analyze the non-linear dynamics characteristics of temperature oscillation signal of pulsating heat pipes(PHPs). The autocorrelation coefficient decreased with time postponed,showing the limited predictive ability of the system. And the power spectrum took on a continuous wide spectrum, indicating the chaotic behavior of the temperature fluctuation signal. According to the calculation of the correlation dimension, we found that under any heat load, the correlation dimension increased first and then reached the saturation value with the increase of embedding dimension. The saturated dimension of heat pipe with acetone as the working fluid is about 6. The multi-scale analysis made it possible for us to know the periodic elements in the temperature signal. In addition, we also found that the associated dimension of acetone and deionized water decreased with the increase of decomposition scale. Finally we implemented the peeling observaion of the temperature signal.
引文
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[19]董芳.气液两相流流动结构多尺度及非线性特性分析[D].天津大学,2007.
[20]孙斌,许明飞,段晓松.水平管内气液两相泡状流的多尺度分形分析[J].中国电机工程学报,2011,14:77-83.
[21]吴剑华,孟辉波,禹言芳,等.SK型静态混合器壁压脉动信号的多尺度多分形特性[J].化工学报,2009,(8):1965-1973.
[22]郑桂波,金宁德.两相流流型多尺度熵及动力学特性分析[J].物理学报,2009,(7):4485-4492.
[23]方海洲,杨洪海.中低负荷下脉动热管壁温信号的分形特性分析[J].化工学报,2016,67(4):1251-1257.2002.
[2]杨洪海,韩洪达,GROLL Manfred.倾斜角及充液率对脉动热管运行性能的影响[J].动力工程,2009,(2):159-162.
[3]崔晓钰,于洋,朱悦,等.振荡热管传热性能与工质物性关系分析[J].化工进展,2013,(9):2035-2042.
[4]王宇,李惟毅.充液率对单环路脉动热管启动运行的影响[J].中国电机工程学报,2011,31(17):71-85.
[5]屈健,吴慧英,唐慧敏.微小型脉动热管的流动可视化实验[J].航空动力学报,2009,24(4):766-771.
[6]史维秀,李惟毅,潘利生.多通路并联回路板式脉动热管可视化及启动性能试验研究[J].机械工程学报,2014,(4):155-161.
[7]胡朝发,贾力.脉动热管气液塞振荡运动模型[J].化工学报,2011,62(s1):113-117.
[8]刘向东,郝英立.闭式循环振荡热管内气液两相流数值模拟[J].东南大学学报,2009,39(5):961-966.
[9]崔晓钰,温建华,M GROLL.基于神经网络的振荡热管传热性能建模[J].化工学报,2003,54(9):1319-1322.
[10]Fang Lide,Yao Zhang,Zhang Wanling.Flow detection technology based on acoustic emission of gas-liquid two-phase flow in vertical pipe[J].Journal of Chemical Industry and Engineering(China),2014,(4):1243-1250.
[11]Fang Lide,Liang Yujiao,Li Xiaoting.Detection device for gasliquid two-phase flow based on near-infrared technology[J].Journal of Electronic Measurement and Instrumentation,2014,(5):528-532.
[12]Song Y,Xu J.Chaotic behavior of pulsating heat pipes[J].Interna tional Journal of Heat and Mass Transfer,2009,52(13-14):2932-2941.
[13]Song Yanxi,Xu Jinliang.Chaotic analysis of temperature time series of pulsating heat pipe[J].Journal of Chemical Industry and Engineering(China),2008,10(9):2470-2477.
[14]Qu J,Wu H,Cheng P,et al.Non-linear analyses of temperature oscillations in a closed-loop pulsating h eat pipe[J].International Journal of Heat and Mass Transfer,2009,52(15-16):3481-3489.
[15]Weixiu Shi,Weiyi Li,Lisheng Pan,et al.Heat transfer properties and chaotic analysis of parallel type pulsating heat pipe[J].Transactions of Tianjin University,2011,(6):435-439.
[16]牛蔚然.基于混沌分形理论的大型煤粉锅炉炉内压力非线性特性研究[D].济南:山东大学,2009.
[17]强爱红.汽液固三相流动沸腾传热系统的非线性特性研究[D].天津大学,2004.
[18]马丽萍.循环流化床波动信号的非线性分析[D].四川大学
[19]董芳.气液两相流流动结构多尺度及非线性特性分析[D].天津大学,2007.
[20]孙斌,许明飞,段晓松.水平管内气液两相泡状流的多尺度分形分析[J].中国电机工程学报,2011,14:77-83.
[21]吴剑华,孟辉波,禹言芳,等.SK型静态混合器壁压脉动信号的多尺度多分形特性[J].化工学报,2009,(8):1965-1973.
[22]郑桂波,金宁德.两相流流型多尺度熵及动力学特性分析[J].物理学报,2009,(7):4485-4492.
[23]方海洲,杨洪海.中低负荷下脉动热管壁温信号的分形特性分析[J].化工学报,2016,67(4):1251-1257.2002.