Target Field Design of Surface Permanent Magnets

TL;DR

This paper introduces an analytical method for designing permanent magnet fields with improved uniformity by optimizing surface magnetisation profiles, validated through simulations and applicable to various advanced magnetic applications.

Contribution

The paper develops a surface-based analytical approach for designing permanent magnets with targeted field profiles, enhancing uniformity and practical implementation.

Findings

Achieved over tenfold increase in field uniformity compared to traditional designs.

Validated the approach with finite element simulations.

Provided a method to approximate surface magnetisation with discrete volumes.

Abstract

We present a target field approach to analytically design magnetic fields using permanent magnets. We assume that their magnetisation is bound to a two-dimensional surface and is composed of a complete basis of surface modes. By posing the Poisson's equation relating the magnetic scalar potential to the magnetisation using Green's functions, we derive simple integrals which determine the magnetic field generated by each mode. This approach is demonstrated by deriving the governing integrals for optimising axial magnetisation on cylindrical and circular-planar surfaces. We approximate the governing integrals numerically and implement them into a regularised least-squares optimisation routine to design permanent magnets that generate uniform axial and transverse target magnetic fields. The resulting uniform axial magnetic field profiles demonstrate more than a tenfold increase in uniformity across equivalent target regions compared to the field generated by an optimally separated axially magnetised pair of rings, as validated using finite element method simulations. We use a simple example to examine how two-dimensional surface magnetisation profiles can be emulated using thin three-dimensional volumes and determine how many discrete intervals are required to accurately approximate a continuously-varying surface pattern. Magnets designed using our approach may enable higher quality bias fields for electric machines, nuclear fusion, fundamental physics, magnetic trapping, and beyond.