Electromagnetic flow meter by measuring the variation of magnetic flux, which is related to the speed of conductive flow, can measure the rate of fluids very carefully and accurately. The operation of the electromagnetic flowmeter is based on Faraday's second famous law. In these equipments, the constant magnetostatic field is produced by the electromagnet (winding around the tube) outside the tube and the induction voltage that is due to the conductive liquid flow is measured by the electrodes located on the side of two ends of the wall of the tube. In this research, we consider a two-dimensional mathematical model that can be solved by the approximation of the finite difference numerical solution (FD) to calculate the induction potential between electrodes. The fundamental concept for designing the electromagnetic flow meter, excitation winding and simulations are obtained using the software MATLAB and PDE-Tool.
Using Faraday's Law of Electromagnetic Induction, electromagnetic flowmeters are used to measure the flow of fluids from the industrial process. In these devices, the windings around the tube are designed to produce the required magnetic field, and the electrodes which are mounted on two sides of the tube wall are used to measure the induced voltage in proportion to the liquid flow rate. The design and optimization of an electromagnetic flowmeter for conductive liquids is presented. In this regard, a two-dimensional mathematical model with a finite difference numerical solution (FD) approach is used to calculate the electrical potential difference between the electrodes. The basic concepts of electromagnetic flow meter design and simulation are presented using the m-file programming in Matlab software. With respect to the fact that the fluid flow depends on two variables, the liquid level and the conductivity coefficient of the liquid and the tube bed, a three-layer neural network is used to accurately calibrate the electromagnetic flowmeter. In this new approach, for a circular section pipe, the correction factor used for calibration is accurately estimated. Finally, simulation results are provided to show the accuracy of the applied technique.