基于图像纹理分析的两相流流型时空演化特性

作     者：王振亚 金宁德 王淳 王金祥 WANG Zhenya;JIN Ningde;WANG Chun;WANG Jinxiang

作者机构：天津大学电气与自动化工程学院天津300072 

出 版 物：《化工学报》 (CIESC Journal)

年 卷 期：2008年第59卷第5期

页      面：1122-1130页

核心收录：

学科分类：080704[工学-流体机械及工程] 0817[工学-化学工程与技术] 08[工学] 0807[工学-动力工程及工程热物理] 0703[理学-化学] 

基　　金：国家自然科学基金项目(50674070 60374041)~~ 

主　　题：气液两相流 流型时空演化 灰度共生矩阵 图像纹理分析 

摘      要：In order to study the temporal and spatial evolution characteristics of gas-liquid two-phase flow structure,a high-speed dynamic camera was utilized to acquire the dynamic image information of seven typical gas-liquid two-phase flow patterns in vertical and inclined 30° upward pipes with the testing ranges of superficial water velocity 0.02—0.4 m·s-1 and superficial gas velocity 0.005—2.7 m·*** gray level co-occurrence matrix(GLCM)was used to quantitatively characterize 2D information in the local neighborhood of image for analyzing flow pattern image features and the four time-varying characteristic parameter indices which represented image texture structures of different flow patterns were *** the transition of flow structure in the development process of flow patterns and calculated Lempel-Ziv sequence complexity of the four time-varying characteristic parameter indices were analyzed,and compared with the complexity measurement,fractal scale and recurrence plot determinism calculated by conductance fluctuating *** study showed that the dynamic parameter evolution trends of flow pattern image texture structure characteristics described the variation of different flow pattern structures and dynamics complexity,and the correlation index(COR)was more effective to reflect the complexity of flow pattern dynamics than *** indicated that the proposed dynamic image analysis method was helpful to understanding the flow pattern temporal and spatial evolution characteristics and also was an effective approach to identifying the gas-liquid two-phase flow patterns.