摘要
The evaluation of the mixing effect of gas-liquid two-phase flow during the top-blown gas agitation mixing is one of the difficulties in the testing field, especially in the process of using the model method to study the metallurgical top-blowing process. In order to evaluate the effect of gas-liquid two-phase flow mixing, a gas chromatography simulation based on capacitance tomography was used to visualize the flow pattern and analyze the mixed characteristics. A gas top-blown agitation test rig was set up, the gas phase was air-selected, and the liquid phase was selected from synthetic heat-conducting oil. The top-blown stirring test process was measured and imaged by electrical capacitance tomography (ECT) equipment from ECT Instruments Ltd (UK). The MATLAB program was used to identify the mixing areas of the images to obtain the distribution of gas-liquid two-phase. The flow pattern of the gas-liquid mixing region was obtained. The chaotic detection of the gas-liquid mixing process was performed by the three-state test method;the images were processed by the counting box dimension-corrosion method to obtain the mixing uniformity time of gas-liquid flow. Results show that it is feasible to use the capacitance tomography technique to visualize the gas-liquid two-phase distribution. The uniformity time quantification of the gas-liquid mixing process is also achieved.
在顶吹气体搅拌混合体系中,气液两相流的混合效果评价是测试领域的难点之一,特别是在使用模型法研究冶金熔池顶吹的过程中。为了评估气液两相流的混合效果,提出基于电容层析成像(ECT)的气相色谱模拟来观察流型并分析混合特征。建立气体顶吹搅拌试验台,气相选择空气,液相选用合成导热油。使用ECT InstrumentsLtd(UK)的电容层析成像设备对顶吹搅拌过程进行测量及成像。运用MATLAB程序对气液混合区域进行特征识别,获得气液两相的流型分布。运用“three-state-test(3ST)”方法对气液混合过程进行混沌检测;运用“腐蚀化计盒维数”法处理图像,得到气液搅拌的混均时间。结果表明,利用电容层析成像技术可对气液混合体系进行流型可视化和混匀时间量化。
作者
YANG Kai
WANG Shi-bo
ZHU Xiu-le
XU Jian-xin
WANG Hua
杨凯;王仕博;朱秀乐;徐建新;王华(State Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization, Kunming University of Science and Technology, Kunming 650093, China;Faculty of Metallurgical and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, China;Faculty of Science, Kunming University of Science and Technology, Kunming 650500, China)
基金
Project(51666006) supported by the National Natural Science Foundation of China
Project(U1602272) supported by the Joint Funds of the National Natural Science Foundation of China
Project(2015HA019) supported by the Scientific and Technological Leading Talent Projects in Yunnan Province,China
