Abstract
Grain oriented steels are widely used for electrical machines and components, such as transformers and reactors, due to their high magnetic permeability and low power losses. These outstanding properties are due to the crystalline structure known as Goss texture, obtained by a suitable process that is well-known and in widespread use among industrial producers of ferromagnetic steel sheets. One of the most interesting research areas in this field has been the development of non-destructive methods for the quality assessment of Goss texture. In particular, the study of techniques that can be implemented in industrial processes is very interesting. Here, we provide an overview of techniques developed in the past, novel approaches recently introduced, and new perspectives. The reliability and accuracy of several methods and equipment are presented and discussed.
Highlights
In this paper we present an overview of different methods that can be used to analyze the structure and characteristics of a Goss textured iron sheet
In sections four and five, we present two other techniques, the modified Bitter pattern technique (MBPT) and the lag angle detection method (LADM)
The Miller indices indicated above correspond to a specific pole figure, such that an accurate evaluation of the orientation of the Goss texture is achievable by means of the electron back-scattering diffraction (EBSD) test
Summary
The papers [9,10,11,12,13,14,15] summarize the research work developed in the recent years by Cardelli et al, in which the authors propose a vector generalization of the so called scalar Preisach model to simulate the magnetization processes of soft ferromagnetic materials, and in particular, for GOES. This type of model uses a mathematical operator called a hysteron, which is a two-value operator defined on the scalar domain of the exiting field. The conclusion section contains specific discussion regarding the presented methods and some further developments dedicated to non-destructive techniques for Goss-textured materials that can be useful during manufacturing processes
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