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Characterization of applied tensile stress using domain wall dynamic behavior of grain-oriented electrical steel

Lookup NU author(s): Professor Gui Yun TianORCiD, Dr Bin Gao

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2017 Stress measurement that provides early indication of stress status has become increasingly demanding in the field of Non-destructive testing and evaluation (NDT&E). Bridging the correlation between micro magnetic properties and the applied tensile stress is the first conceptual step to come up with a new method of non-destructive testing. This study investigates the characterization of applied tensile stress with in-situ magnetic domain imaging and their dynamic behaviors by using magneto-optical Kerr effect (MOKE) microscopy assisted with magneto-optical indicator film (MOIF). Threshold magnetic field (TMF) feature to reflect 180° domain wall (DW) characteristics behaviors in different grains is proposed for stress detection. It is verified that TMF is a threshold feature with better sensitivity and brings linear correlation for stress characterization in comparison to classical coercive field, remanent magnetization, hysteresis loss and permeability parameters. The results indicate that 180° DWs dynamic in the inner grain is highly correlated with stress. The DW dynamics of turn over (TO) tests for different grains is studied to illustrate the repeatability of TMF. Experimental tests of high permeability grain oriented (HGO) electrical steels under stress loading have been conducted to verify this study.


Publication metadata

Author(s): Qiu F, Ren W, Tian GY, Gao B

Publication type: Article

Publication status: Published

Journal: Journal of Magnetism and Magnetic Materials

Year: 2017

Volume: 432

Pages: 250-259

Print publication date: 15/06/2017

Online publication date: 03/02/2016

Acceptance date: 30/01/2017

Date deposited: 26/04/2017

ISSN (print): 0304-8853

ISSN (electronic): 1873-4766

Publisher: Elsevier B.V.

URL: https://doi.org/10.1016/j.jmmm.2017.01.076

DOI: 10.1016/j.jmmm.2017.01.076

Data Source Location: http://dx.doi.org/10.17634/072976-1


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Funding

Funder referenceFunder name
51377015
61527803
EP/F06151X/1EPSRC

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