摘要
搭建脉动热管可视化试验台,获取管内流体运动的温度时间序列,进行关联维分析。根据加热功率不同,将管内流动分成几乎不运行、振荡、循环流动三种运动。关联维随嵌入维数的增加逐渐收敛,饱和关联维在不同的运动状态下值有明显差别。相比于壁温信号,管内流体的温度时间序列的关联维值更大,更能反应真实的运动情况。蒸发段的关联维略大于冷凝段的关联维,发现循环流动下,至少需要9个变量才能描述管内流动。
A visual test for pulsating heat pipe was built to obtain the temperature time series of the fluid movement and carry out the correlation dimension analysis.According to the different heating power,the flow in the tube is divided into three kinds of motion:almost no operation,oscillation and cyclic flow.The correlation dimension converges with the increase of the embedded dimension,and the saturated correlation dimension has obvious difference under different motion states.Compared with the wall temperature signal,the temperature time series of the fluid in the tube has a larger correlation dimension,which can better reflect the real motion situation.The correlation dimension of the evaporation section is slightly larger than that of the condensation section.It is found that at least 9 variables are needed to describe the flow in the tube under the cyclic flow.
作者
周屹
杨洪海
张苗
ZHOU Yi;YANG Hong-hai;ZHANG Miao(Environmental Science and Engineering,Donghua University)
出处
《建筑热能通风空调》
2022年第3期24-28,共5页
Building Energy & Environment
关键词
脉动热管
关联维
G-P算法
可视化
传热影响
pulsating heat pipe
correlation dimension
G-P algorithm
visualization
heat transfer effect
