关键词:

气液两相流, 流动图像, 信息熵序列, 递归图, 递归特征量

Abstract:

On the streaming video of all typical flow pattern filmings on the experiment system by the high-speed video camera，the information of a single-frame was extracted and made into time-series. The series was analyzed with the non-linear chaotic recurrence plot（RP），less used in the last years.It was combined with the average diagonal length and Shannon entropy of recursive features changed after the increase of gas superficial velocity.The results showed that the information entropy of flow image combined with RP could well characterize the evaluated tract of gas-liquid two-phase flow patterns.At the same time，the information well characterized the volume fraction of all kinds of gas-liquid two-phase flow patterns.The average diagonal length and recursive Shannon entropy of recursive features all increased first and then decreased with the increase of gas superficial velocity，and it reflected the transition of the mechanisms of five typical flow patterns from the recursive characteristics.

Key words:

气液两相流, 流动图像, 信息熵序列, 递归图, 递归特征量