Abstract

A tailor-made microstructure, especially regarding grain size and texture, improves the magnetic properties of non-oriented electrical steels. One way to adjust the microstructure is to control the production and processing in great detail. Simulation and modeling approaches can help to evaluate the impact of different process parameters and finally select them appropriately. We present individual model approaches for hot rolling, cold rolling, annealing and shear cutting and aim to connect the models to account for the complex interrelationships between the process steps. A layer model combined with a microstructure model describes the grain size evolution during hot rolling. The crystal plasticity finite-element method (CPFEM) predicts the cold-rolling texture. Grain size and texture evolution during annealing is captured by the level-set method and the heat treatment model GraGLeS2D+. The impact of different grain sizes across the sheet thickness on residual stress state is evaluated by the surface model. All models take heterogeneous microstructures across the sheet thickness into account. Furthermore, a relationship is established between process and material parameters and magnetic properties. The basic mathematical principles of the models are explained and demonstrated using laboratory experiments on a non-oriented electrical steel with wt.% Si as an example.

Highlights

  • Non-oriented electrical steel (NO electrical steel) is widely used in electrical machines with rotating magnetic fields

  • The penetration depth of residual stress into the material is in good accordance with NGI experiments on blanked electrical steel [64]

  • Material models and simulation tools are essential for process inventions and to enable tailor-made material development

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Summary

Introduction

Non-oriented electrical steel (NO electrical steel) is widely used in electrical machines with rotating magnetic fields. The name indicates isotropic behavior, NO electrical steel has dominant texture components, resulting in magnetic anisotropy [1,2,3]. Additional anisotropy can result from a residual stress distribution or an anisotropic grain size distribution. It is necessary to use models that link material parameters and magnetic properties. Texture and grain size are two important material parameters to consider when discussing the improvement of NO electrical steel. Grain boundaries interact with domain walls during magnetization and can increase magnetic losses. The optimal grain size is strongly dependent on frequency and applied magnetic field [3]

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