Linearizing Anhysteretic Magnetization Curves: A Novel Algorithm for Finding Simulation Parameters and Magnetic Moments

TL;DR

This paper introduces a new linear approximation method to accurately determine simulation parameters and magnetic moments for the Jiles-Atherton Model, improving the modeling of ferromagnetic hysteresis and magnetization curves.

Contribution

It presents a novel linearization algorithm that simplifies and enhances the process of finding simulation parameters and magnetic moments for the anhysteretic curve.

Findings

The method accurately estimates magnetic moments using susceptibility and linear approximation.

The approach is validated both theoretically and experimentally.

It provides a more physical and simplified way to determine model parameters.

Abstract

This paper proposes a new method for determining the simulation parameters of the Jiles-Atherton Model used to simulate the first magnetization curve and hysteresis loop in ferromagnetic materials. The Jiles-Atherton Model is an important tool in engineering applications due to its relatively simple differential formulation. However, determining the simulation parameters for the anhysteretic curve is challenging. Several methods have been proposed, primarily based on mathematical aspects of the anhysteretic and first magnetization curves and hysteresis loops. This paper focuses on finding the magnetic moments of the material, which are used to define the simulation parameters for its anhysteretic curve. The proposed method involves using the susceptibility of the material and a linear approximation of a paramagnet to find the magnetic moments. The simulation parameters can then be found based on the magnetic moments. The method is validated theoretically and experimentally and offers a more physical approach to finding simulation parameters for the anhysteretic curve and a simplified way of determining the magnetic moments of the material.