Development of Electromagnetic Flowmeters Model using a Hybrid Approach Based on Numerical Simulation Results and Data Estimation Method

Authors

1 Department of Mechanical Engineering University of Qom

2 Department of Mechanical Engineering, University of Qom

Abstract

Electromagnetic flowmeters are high-precision devices that can be used to measure fluid flow in engineering systems, including municipal water supply networks. In this research, electromagnetic flowmeter modeling has been used which is a hybrid model based on numerical simulation results of turbulent flow and data estimation method for a pipe with a diameter of 100mm and a length of 800mm. The numerical model is built using three-dimensional simulation framework by creating a magnetic field in the center of the geometry and measuring the volume flow rate using Faraday law and Maxwell equations. In fact, the physics of the problem is such that to measure the flow rate of a fluid, a magnetic field was created in the center of the geometry where the electromagnetic inductors are located. By moving the fluid that has electrical conductivity, the intensity of electromagnetic induction was obtained at that point and the amount of velocity and flow rate was calculated using these data. For this purpose, current simulation under the effect of electromagnetic intensity was performed for the values of 0.01, 0.03 and 0.05 (Tesla) to obtain the most appropriate intensity. The results show that up to an intensity of 0.03, the magnetic field has little effect on the structure of the flow field. In order to develop an alternative model of electromagnetic flowmeter, the method of estimating the inlet average velocity based on information from numerical simulation data has been used. First, for a certain number of pressures (pressure differences), the magnetic field intensity in the position of the sensors was obtained then using these values, the inlet average velocity using direct numerical simulation was calculated. A new magnetic intensity different from the values ​​used was obtained by data mining method. In order to ensure the accuracy of the results, the obtained data were compared with the calculated values ​​of the software.

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Main Subjects

References

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History

  • Receive Date: 17 October 2021
  • Revise Date: 09 February 2022
  • Accept Date: 07 May 2022

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