Literature DB >> 32151113

Study on Weight Function Distribution of Hybrid Gas-Liquid Two-Phase Flow Electromagnetic Flowmeter.

Yulin Jiang1.   

Abstract

The electromagnetic flowmeter is usually used for single-phase fluid parameter measurement. When the measured fluid is gas-liquid two-phase flow, the geometry of the sensor measurement space will change with the movement of the gas, which will cause measurement errors. The weight function distribution is an important parameter to analyze such measurement errors. The traditional method for calculating the weight function of gas-liquid two-phase flow involves complex dimensional space transformation, which is difficult to understand and apply. This paper presents a new method for calculating the weight function of the gas-liquid two-phase flow electromagnetic flowmeter. Firstly, based on the measurement principle of the electromagnetic flowmeter, a general model of weight function of the gas-liquid two-phase flow electromagnetic flowmeter is built. Secondly, the bubbles in the fluid are regarded as the "isolated" points in the flow field. According to the physical connection between the "field" of the measured fluid and the "source" of the sensor electrode, the Green's function expression based on gas-liquid two-phase flow is established. Then, combined with the boundary conditions of the measurement space of the electromagnetic flowmeter, the Green's function is analyzed. Finally, the general model of weight function is solved by using the expression of Green's function, then the expression of the weight function of the electromagnetic flowmeter is obtained when the measured fluid is hybrid gas-liquid two-phase flow. The simulation results show that the proposed method can reasonably describe the influence of the gas in the measured fluid on the output signal of the sensor, and the experimental results also indirectly prove the rationality of this method.

Entities:  

Keywords:  Green’s function; gas-liquid two-phase flow; superposition property; weight function; “source” and “field”

Year:  2020        PMID: 32151113     DOI: 10.3390/s20051431

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  3 in total

1.  Study on a New Electromagnetic Flow Measurement Technology Based on Differential Correlation Detection.

Authors:  Liang Ge; Junxian Chen; Guiyun Tian; Wen Zeng; Qi Huang; Ze Hu
Journal:  Sensors (Basel)       Date:  2020-04-28       Impact factor: 3.576

2.  Research on Measurement Principle and Key Measuring Devices of Pressure Change Rate for Electronically Controlled Pneumatic Brake of Commercial Vehicle Based on Poiseuille's Law.

Authors:  Jian Hu; Min Yan; Rui Yang; Fan Yang; Gangyan Li
Journal:  Sensors (Basel)       Date:  2022-04-14       Impact factor: 3.576

3.  Design and Implementation of an Ultrasonic Flowmeter Based on the Cross-Correlation Method.

Authors:  Rui Ren; Hongliang Wang; Xiaolei Sun; He Quan
Journal:  Sensors (Basel)       Date:  2022-10-02       Impact factor: 3.847

  3 in total

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