200
Views
13
CrossRef citations to date
0
Altmetric
Original Articles

Grain size effect on metal magnetic memory signal for stress damage evaluation of low carbon steel

, , , , &
Pages 267-282 | Received 04 Aug 2018, Accepted 03 Mar 2019, Published online: 25 Mar 2019
 

ABSTRACT

Based on the magneto-mechanical effect of ferromagnetic material, the grain size effect on stress damage evaluated with metal magnetic memory (MMM) technology was discussed in this paper. To collect the normal component of MMM signal – Hp(y) signal of sample, the three dimensional electrically controlled displacement system was employed to keep constant scanning speed and lift-off of sensor probe, and the magnetic intensity gradient of Hp(y) signal, as characteristic parameter for stress damage evaluation, was determined with least square fitting method, then the relationship between slope of magnetic intensity gradient and grain size was discussed. The results show that 1.0 mm is the most optimal lift-off of sensor probe, and the influence of detection line on Hp(y) signal can be ignored. As stress increases, the Hp(y) signals change linearly, and all the Hp(y) signals intersect at the only zero crossing point, while when stress exceeds yield strength, the Hp(y) signals change irregularly as stress increases further, at last the polarity of Hp(y) signal is opposite at the position of fracture of sample. As grain size increases, the magnetic intensity gradient decreases slightly, and the deformation capacity affected by grain size is seen as the main reason for above experimental results. Based on polynomial function, the relationship between slope of magnetic intensity gradient and grain size is determined, and then the correction method for grain size effect on stress damage evaluation is proposed. Finally, the theoretical discussion is verified by fracture morphology observation.

Acknowledgments

This work was supported by the National Natural Science Foundation of China under Grant (No. 51775254) and the China Postdoctoral Science Foundation under Grant (No. 2016M591795).

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [grant number 51775254] and the China Postdoctoral Science Foundation [grant number 2016M591795].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 627.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.