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Chaotic characterization of macromixing effect in a gas–liquid stirring system using modified 0–1 test
The Canadian Journal of Chemical Engineering ( IF 1.6 ) Pub Date : 2021-03-05 , DOI: 10.1002/cjce.24100
Lian Zhang 1, 2 , Kai Yang 1, 2 , Meng Li 3 , Qingtai Xiao 1, 2 , Hua Wang 1, 2
Affiliation  

A new approach to extract the chaotic characteristics of the two-phase stirring and mixing state is proposed for bottom-blown oxygen-enriched bath smelting process of copper. By quantifying the local mixing characteristics in the stirred reactor of bottom-blowing copper smelting, an improved 0–1 chaotic test method was introduced to measure the chaotic characteristics of a time series of mixing index. It was found that the different channels of the RGB image of turbulence flow field are not the same for the contour feature extraction of the bubble; the single-channel horizontal profile of the single- and double-distributor flow field images shows single and double peaks, respectively, verifying the accuracy of the hybrid characterization. After calculating the mean and standard deviation time series of grey intensity of the region of interest, the median of the asymptotic growth rate Kcorr(c) of the mixing index time series was used as the criteria of chaos detection in the molten pool dynamic balance state. The variability of chaos in different mixing processes has been more accurately characterized.

中文翻译:

气液搅拌系统宏观混合效应的混沌表征采用修正0-1试验

针对底吹富氧熔池铜冶炼过程,提出了一种提取两相搅拌混合状态混沌特性的新方法。通过量化底吹铜冶炼搅拌反应器中局部混合特性,引入改进的0-1混沌测试方法来测量混合指标时间序列的混沌特性。发现湍流流场RGB图像的不同通道对于气泡的轮廓特征提取是不一样的;单分配器和双分配器流场图像的单通道水平剖面分别显示单峰和双峰,验证了混合表征的准确性。计算感兴趣区域灰度强度的均值和标准差时间序列后,混合指标时间序列的K corr ( c ) 作为熔池动平衡状态下混沌检测的判据。更准确地表征了不同混合过程中混沌的可变性。
更新日期:2021-03-05
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