What is it about?
This article introduces a hybrid method for analyzing the magnetic field distribution in a fluxball-type spherical electric machine. The approach combines analytical modelling with finite element (FEM) and boundary element methods (BEM), while confining the FEM domain to the magnetic core only. This significantly reduces computational effort without compromising accuracy. The method uses equivalent currents to determine the magnetic field with high precision and shows excellent agreement with COMSOL simulations, with deviations below 1.9%. The proposed model can also be extended to other electromagnetic systems, such as spherical actuators or characterization of ferromagnetic materials.
Featured Image
Photo by Shubham Dhage on Unsplash
Why is it important?
Spherical electric machines are compact and versatile but complex to model due to their geometry. Traditional full-domain simulations can be computationally intensive. This work offers a more efficient solution by reducing simulation time and maintaining accuracy, which is crucial for the design and optimization of innovative electromechanical systems. It also enables faster prototyping and supports applications in robotics, biomedical devices, and advanced sensor technologies.
Perspectives
As someone who works at the intersection of power systems and electromechanical design, I found this research particularly rewarding. It demonstrates how theoretical approaches can be combined with computational techniques to produce efficient and scalable modelling strategies. This method not only improves accuracy but also reduces simulation time - an aspect often overlooked in academic research but highly valuable in engineering practice.
Dr Fernando M Camilo
Universidade de Lisboa
Read the Original
This page is a summary of: Fluxball magnetic field analysis using a hybrid analytical/FEM/BEM with equivalent currents, Journal of Magnetism and Magnetic Materials, March 2016, Elsevier,
DOI: 10.1016/j.jmmm.2015.10.104.
You can read the full text:
Contributors
The following have contributed to this page







