Study on two-phase flow regime visualization and identification using 3D electrical capacitance tomography and fuzzy-logic classification

被引：117

作者：

Banasiak, Robert ^{[1
]}

Wajman, Radoslaw ^{[1
]}

Jaworski, Tomasz ^{[1
]}

Fiderek, Pawel ^{[1
]}

Fidos, Henryk ^{[2
]}

Nowakowski, Jacek ^{[1
]}

Sankowski, Dominik ^{[1
]}

机构：

[1] Lodz Univ Technol, Inst Appl Comp Sci, Lodz, Poland

[2] Lodz Univ Technol, Dept Chem Engn, Lodz, Poland

来源：

INTERNATIONAL JOURNAL OF MULTIPHASE FLOW | 2014年 / 58卷

关键词：

Two-phase flow; 3D capacitance tomography; Flow regime identification; Fuzzy logic inference; IMAGE-RECONSTRUCTION ALGORITHMS;

D O I：

10.1016/j.ijmultiphaseflow.2013.07.003

中图分类号：

O3 [力学];

学科分类号：

08 ; 0801 ;

摘要：

From variety of industry-oriented imaging solutions the electrical capacitance tomography applied to the two-phase gas-liquid mixtures visualization and the phase distribution calculation is getting popular especially when flow key parameters are required. Industry demands particularly include efficient non-invasive automatic phase fraction calculation and flow structure identification in the vertical and horizontal pipelines. This can be solved by using non-deterministic fuzzy-logic based techniques for analysis of volumetric images. This paper presents a preliminary study on automated two-phase gas-liquid flow pattern identification based on a fuzzy evaluation of series of reconstructed 3D ECT volumetric images. The set of volume data is obtained by using nonlinear electrical capacitance tomography reconstruction algorithms. Finally a set of fuzzy-based features is calculated for flow substructure classification. As a result of this analysis obtained features will be used to classify given volumetric image into one of known flow regime structures. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：1 / 14

页数：14

共 30 条

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[2]

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