Analysis of Surface Roughness Influence in Non-Destructive Magnetic Measurements Applied to Reactor Pressure Vessel Steels

Gabor Vertesy, Antal Gasperics , James M. Griffin, Jino Mathew, Michael E. Fitzpatrick, Inge Uytdenhouwen

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)
43 Downloads (Pure)

Abstract

The influence of surface roughness on magnetic measurements of Reactor Pressure Vessel Steels was investigated by applying two types of magnetic, non-destructive measurement on nuclear reactor pressure vessel steel samples: magnetic adaptive testing (MAT) and magnetic Barkhausen noise measurement (MBN). The surface roughness was modified by primary and secondary machine cutting forces. Different settings of machine cutting produced different surface conditions. It was found that for both measurements a monotonic correlation was found to exist between magnetic parameters and surface roughness. Results of the MAT measurements found that the correlation depends on the speed (i.e., on the applied slew rate) of the magnetizing current. In a similar fashion, results from the MBN method show good agreement with MAT, where the response diminishes with an increase in surface roughness. The results show the importance of accounting for surface condition in the interpretation of results of non-destructive magnetic testing.
Original languageEnglish
Article number8938
Number of pages11
JournalApplied Sciences
Volume10
Issue number24
DOIs
Publication statusPublished - 15 Dec 2020

Bibliographical note

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Funder

Euratom research and training programme 2014–2018 under grant agreement No 755330

Keywords

  • Magnetic Barkhausen noise measurement
  • Magnetic adaptive testing
  • Magnetic nondestructive evaluation
  • Steel degradation
  • Surface roughness

ASJC Scopus subject areas

  • Materials Science(all)
  • Instrumentation
  • Engineering(all)
  • Process Chemistry and Technology
  • Computer Science Applications
  • Fluid Flow and Transfer Processes

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