A FEM-Based Optimization Method for Driving Frequency of Contactless Magnetoelastic Torque Sensors in Steel Shafts.

Anna Ostaszewska-Liżewska,Roman Szewczyk,Michał Nowicki,Mika Malinen

doi:10.3390/ma14174996

Abstract

This paper presents a novel finite element method (FEM) of optimization for driving frequency in magneto-mechanical systems using contactless magnetoelastic torque sensors. The optimization technique is based on the generalization of the axial and shear stress dependence of the magnetic permeability tensor. This generalization creates a new possibility for the determination of the torque dependence of a permeability tensor based on measurements of the axial stress on the magnetization curve. Such a possibility of quantitative description of torque dependence of a magnetic permeability tensor has never before been presented. Results from the FEM-based modeling method were validated against a real magnetoelastic torque sensor. The sensitivity characteristics of the model and the real sensor show a maximum using a driving current of similar frequency. Consequently, the proposed method demonstrates the novel possibility of optimizing magnetoelastic sensors for automotive and industrial applications.

Highlights

Measuring the torque in mechanical shafts made of steel is a common challenge found in various industrial applications
Soft magnetic materials the most commonly used as cores of contactless torque sensors utilizing magnetoelastic effects [26,27,28,29] are constructional steels [30,31,32]
Following on from the previous work on the generalization of the axial and shear stress dependence of magnetic permeability tensors carried out in [35], this paper presents a novel approach to quantitative description of the torque dependences of magnetization process

Summary

Introduction

Measuring the torque in mechanical shafts made of steel is a common challenge found in various industrial applications. On the base of experimentally determined axial stress permeability dependences, the proposed model provides insight for understanding of magnetization processes under the influence of torque, as well as enables further contactless magnetoelastic torque sensors development. This development creates the possibility of optimizing magneto-mechanical systems using contactless magnetoelastic sensors in the area of modern industrial applications. Plain torque is rarely observed in real systems For this reason, it is highly recommended to implement the Finite Element Modeling (FEM) systems where the stress tensor dependence of the relative magnetic permeability tensor is based on Equation (7)

Implementation of Proposed Model in Open-Source FEM-Oriented Software

Conclusions