Computing and Library Services - delivering an inspiring information environment

Relationship between velocity profile and distribution of induced potential for an electromagnetic flow meter

Wang, J.Z., Lucas, Gary and Tian, Gui Yun (2007) Relationship between velocity profile and distribution of induced potential for an electromagnetic flow meter. Flow Measurement and Instrumentation, 18 (2). pp. 99-105. ISSN 0955-5986

Metadata only available from this repository.


This paper investigates the relationship between the induced electric potential and the velocity distribution of the conductive continuous phase in two-phase flows in pipes to which an electromagnetic field is applied, with a view to measuring the continuous phase velocity profile. In order to investigate the characteristics of an electromagnetic flow meter in multiphase flow, an alternating current electromagnetic flow meter was modelled using FEMLAB software. Using the model, electrodes could be placed at any position on the insulating internal surface of the flow meter to satisfy the requirement of measuring the induced potentials at specific locations at the boundary of the flow. The induced electric potential or potential differences from the electrodes were analysed for various simulated flow conditions. The numerical simulation results suggest that electromagnetic flow metering may be an effective novel method for measuring the axial velocity profile of the conducting continuous phase. Furthermore, when combined with the local volume fraction distribution of the continuous phase (obtained, for example, using Electrical Resistance Tomography, also known as ERT), it is expected that the measured continuous phase velocity profile would enable the volumetric flow rate of the continuous phase to be obtained.

Item Type: Article
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
Related URLs:
Depositing User: Briony Heyhoe
Date Deposited: 27 Jun 2008 15:07
Last Modified: 28 Aug 2021 10:39


Downloads per month over past year

Repository Staff Only: item control page

View Item View Item

University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©