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Dynamic visualization approach of the multiphase flow using electrical capacitance tomography

ISSN号：1004-9541
期刊名称：Chinese Journal of Chemical Engineering
时间：2012
页码：380-388
分类：TP274[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置] TS105.11[轻工技术与工程—纺织工程;轻工技术与工程—纺织科学与工程]
作者机构：[1]State Key Laboratoryof,Altemate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China, [2]School of Mechanical Electric and Control Engineering, Beijing Jiaotong University, Beijing 100049, China, [3]Key Laboratory of Advanced Energy and Power, Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China
相关基金：Supported by the National Natural Science Foundation of China （50736002, 50806005, 51006106） and the Program for Changjiang Scholars and Innovative Research Team in University （IRT0952）. The authors wish to thank Dr. Jing LEI from School of Energy, Power and Mechanical Engineering, North China Electric Power University for the beneficial discussions on the dynamic image reconstruction algorithm.
相关项目：输运床煤气化炉内气固流动规律及气化反应机制的研究

关键词：电容层析成像技术, 可视化方法, 多相流, 测量信息, 物理机制, 动态演化, 流量模式, 流型识别, electrical capacitance tomography, visualization, flow pattern identification, dynamic reconstruction algorithm

中文摘要：

识别流动模式为在多相的流动理解复杂物理机制是重要的。为这个目的，电的电容断层摄影术(ECT ) 技术为流动模式鉴定，在图象，重建算法起一个重要作用被看作一个有希望的可视化方法。在这份报纸，一个概括动态重建模型，集成 ECT 测量信息和兴趣的目标的物理进化信息，被介绍。一个概括目的功能那同时认为空间限制，时间的限制和兴趣的目标的动态进化信息被建议。数字模拟和实验被实现评估建议算法的可行性和效率。为在这份报纸考虑的盒子，建议算法能很好重建重建的图象的流动模式，和质量被改进，它显示建议算法是能干的重建在多相的流动的可视化的流动模式。

英文摘要：

Identifying the flow patterns is vital for understanding the complicated physical mechanisms in multiphase flows.For this purpose,electrical capacitance tomography（ECT） technique is considered as a promising visualization method for the flow pattern identification,in which image reconstruction algorithms play an important role.In this paper,a generalized dynamic reconstruction model,which integrates ECT measurement information and physical evolution information of the objects of interest,was presented.A generalized objective functional that simultaneously considers the spatial constraints,temporal constraints and dynamic evolution information of the objects of interest was proposed.Numerical simulations and experiments were implemented to evaluate the feasibility and efficiency of the proposed algorithm.For the cases considered in this paper,the proposed algorithm can well reconstruct the flow patterns,and the quality of the reconstructed images is improved,which indicates that the proposed algorithm is competent to reconstruct the flow patterns in the visualization of multiphase flows.

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