EconPapers    
Economics at your fingertips  
 

An Overview of Non-Destructive Testing of Goss Texture in Grain-Oriented Magnetic Steels

Antonio Faba and Simone Quondam Antonio
Additional contact information
Antonio Faba: Engineering Department, University of Perugia, Via G. Duranti 96, 06125 Perugia, Italy
Simone Quondam Antonio: Engineering Department, University of Perugia, Via G. Duranti 96, 06125 Perugia, Italy

Mathematics, 2021, vol. 9, issue 13, 1-11

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.

Keywords: non-destructive techniques; grain oriented electrical steels; electron back-scattering diffraction; magneto-optical Kerr effect; Bitter pattern technique; lag angle detection method (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/9/13/1539/pdf (application/pdf)
https://www.mdpi.com/2227-7390/9/13/1539/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:9:y:2021:i:13:p:1539-:d:586563

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jmathe:v:9:y:2021:i:13:p:1539-:d:586563