Automated Modeling of an Electromagnet with Magnetorheological Fluid
Received: 12 March 2025 | Revised: 1 April 2025 | Accepted: 4 April 2025 | Online: 11 April 2025
Corresponding author: Armine Avetisyan
Abstract
This article presents an automated system for the design, analysis, and optimization of Electromagnetic Systems (EMSs) using Magnetorheological (MR) fluids. The system integrates MATLAB with the Finite Element Method Magnetics (FEMM) environment to solve both direct and inverse design problems, optimize parameters, and visualize results through graphical and tabular representations. Featuring a user-friendly graphical interface, the system simplifies the design process by allowing engineers to select materials, input parameters, and generate dependency graphs for various device characteristics. Machine Learning (ML) algorithms are employed for parameter optimization, whereas finite element analysis ensures accurate magnetic field modeling. The results demonstrate the system's effectiveness in improving design efficiency and accuracy, with applications ranging from optimizing the velocity of movement of the MR fluid magnetic particles bridge front and the electromagnetic force acting on the MR fluid magnetic particles bridge front to visualizing magnetic field distributions. The proposed scalable and adaptable system is a valuable tool for engineers working on MR fluid-based devices. Future work may focus on extending its capabilities to include real-time control and advanced multiphysics simulations.
Keywords:
electromagnetic system, automated system, magnetorheological fluid, optimal designDownloads
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