化工进展2016，Vol.35Issue(11)：3433-3440,8.DOI:10.16085/j.issn.1000-6613.2016.11.007
气体射流不稳定性的建模和实验研究
Experiments and modelling of gas jet instability using image processing and chaos theory
摘要
Abstract
Based on image processing technology and chaos theory, a novel method for quantitative characterization of gas jet images was proposed,which reflects the mixing performance. The Otsu method was used to find the best threshold value and hence the best segmented images. The mixing performance (M) is defined as the ratio of proportion of gas jet pixels(W) to standard deviation of the grayscale values in gas jet region(N) for characterizing spatial distribution of gas jet. Unsteady motions of the gas jet were characterized by the nonlinear time series of the mixing performances. As have shown,the stability of gas jet(1/V) decrease with the increasing modified Froude number under jetting regime,which confirms the validity of our approach. On top of that,the linear relation between stability and largest Lyapunov exponent(LLE) was obvious with a correlation coefficient of 0.954. For further research a linear model of stability and LLE were constructed. The results showed that the LLE can not only judge the mixing process is nonchaotic or chaotic,also the numerical size of LLE reflected the stability of gas jet.关键词
多相流/混合/稳定性/气泡/混沌Key words
multiphase flow/mixing/stability/bubble/chaos分类
矿业与冶金引用本文复制引用
刘泛函,王华,徐建新..气体射流不稳定性的建模和实验研究[J].化工进展,2016,35(11):3433-3440,8.基金项目
国家重点基础研究发展计划（2014CB460605）及国家自然科学基金（51174105，51206071，51366005，51406071，51206071）项目。 （）
