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基于环形电导传感器的气液两相流流型识别与过程参数测量

史雪薇 谭超 董峰

化工进展2024,Vol.43Issue(2):637-648,12.
化工进展2024,Vol.43Issue(2):637-648,12.DOI:10.16085/j.issn.1000-6613.2023-1233

基于环形电导传感器的气液两相流流型识别与过程参数测量

Gas-liquid two-phase flow pattern identification and flow parameters measurement based on the ring-shape conductance sensor

史雪薇 1谭超 1董峰1

作者信息

  • 1. 天津大学电气自动化与信息工程学院,天津市过程检测与控制重点实验室,天津 300072
  • 折叠

摘要

Abstract

Aiming at the gas-liquid two phase flow in horizontal pipeline,a comprehensive method for flow pattern identification and flow velocity and phase fraction measurement was proposed,using only a single conductance sensor.Firstly,a conductance sensor composed of six ring-shaped electrodes was adopted to acquire flow information about the water holdup and cross-correlation velocity of gas-liquid two phase flow under different flow conditions.Secondly,based on the signal fluctuation analysis,the flow characteristics of different flow patterns were revealed.The mean and variance of the time series of normalized voltage and the cross-correlation velocity were calculated as a feature vector for flow pattern representation.Using support vector machine(SVM)method which was suitable for small samples,15 binary classifiers with radial basis function as kernel function were constructed by"one-to-one"strategy.The parameters of the identification model were optimized by cross validation method,and 6 flow patterns(stratified flow,wavy flow,bubbly flow,plug flow,slug flow and annular flow)were identified with the identification rate of 93.1%.Thirdly,based on the identification results,the measurement models for calculations of phase fraction and mean velocity through normalized voltage and cross-correlation velocity were established for every specific flow patterns.Compared with reference values at inlet,dynamic experiments showed that the root mean square errors(RMSE)of water fraction and gas fraction were 2.56%and 2.73%,and the RMSE of mean velocity was 0.69m/s.The proposed method provides a simple,efficient,low-cost,and non-invasive flow pattern identification and process parameter measurement strategy for gas-liquid two-phase flow,which has important scientific and engineering significance.

关键词

气液两相流/仪器仪表/流速/含率/测量/流型识别

Key words

gas-liquid flow/instrumentation/velocity/fraction/measurement/flow pattern identification

分类

信息技术与安全科学

引用本文复制引用

史雪薇,谭超,董峰..基于环形电导传感器的气液两相流流型识别与过程参数测量[J].化工进展,2024,43(2):637-648,12.

基金项目

中国博士后科学基金(2022M712356) (2022M712356)

国家自然科学基金青年基金(62303346). (62303346)

化工进展

OA北大核心CSTPCD

1000-6613

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