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Numerical Simulation Modelling for Velocity Measurement of Electromagnetic Flow Meter

Wang, J. Z., Gong, C.L., Lucas, Gary and Tian, Gui Yun (2006) Numerical Simulation Modelling for Velocity Measurement of Electromagnetic Flow Meter. Journal of Physics Conference Series, 48. pp. 36-40. ISSN 1742-6588

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An induced voltage EMF in the area of measuring single-phase flow rate in pipes has been used in many industrial areas. To measure the continuous phase velocity profile in multiphase flows where the continuous phase is an electrical conductor, Electrical capacitance and resistance tomography has been comprehensively investigated, except for continuous phase velocity profile measurement. This paper tries to design the numerical simulation model according to the basic electromagnetic induction law and to investigate the relationship between induced electric potential or potential drop and the velocity distribution of the conductive continuous phase in the flow. First, the 3-Dimenssion simulating module for EMF is built. Given the most simple velocity profile of the fluid in the pipe, the value of the induced potential difference between electrodes is obtained by simulation and theoretical computation according to J A Shercliff's weight function. The relative error is 6.066 . This proves that the simulation model is accurate enough to investigate the characteristic of the induced potential difference of EMF. Finally, the relationship between induced potential difference and the velocity profile is analysed in detail where the complicated velocity profile is expressed as vz = 1m/s when 0.022<x2+y2< = 0.02652 and vz = 5m/s when x2+y2< = 0.022.

Item Type: Article
Additional Information: From the International Symposium on Instrumentation Science and Technology, 8–12 August 2006, Harbin, China
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Schools: School of Computing and Engineering
School of Computing and Engineering > Systems Engineering Research Group
School of Computing and Engineering > High-Performance Intelligent Computing > High Performance Computing Research Group
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Depositing User: Briony Heyhoe
Date Deposited: 27 Jun 2008 14:38
Last Modified: 28 Aug 2021 10:39


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