Caution to Apply Magnetic Barkhausen Noise Method to Nondestructive Evaluation of Plastic Deformation in Some Ferromagnetic Materials

Manru He, Takanori Matsumoto, Tetsuya Uchimoto, Toshiyuki Takagi, Hongen Chen, Shejuan Xie, Zhenmao Chen

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Magnetic Barkhausen Noise (MBN) method is known as an effective nondestructive evaluation (NDE) method for evaluation of residual stress in ferromagnetic materials. Some studies on the feasibility of the MBN method for NDE of residual strains were also conducted and found applicable. However, these studies are mainly focused on the state of residual strains which were introduced through a one-cycle-loading process. In practice, however, structures may suffer from an unpredictable and complicated loading history, i.e., the final state of plastic strain may be induced by several times of large loads. Whether the loading history has influences on MBN signals or not is of great importance for the practical application of the MBN method. In this paper, several ferromagnetic specimens with the same final state of residual strain but of different loading history were fabricated and inspected by using a MBN testing system. The experimental results reveal that the loading history has a significant influence on the detected MBN signals especially for a residual strain in range less than 1%, which doubts the feasibility to apply the MBN method simply in the practical environment. In addition, micro-observations on the magnetic domain structures of the plastic damaged specimens were also carried out to clarify the influence mechanism of loading history on the MBN signals.

Original languageEnglish
Article number104
JournalChinese Journal of Mechanical Engineering (English Edition)
Volume32
Issue number1
DOIs
Publication statusPublished - 2019 Dec 1

Keywords

  • Deformation history
  • Ferromagnetic materials
  • MBN method
  • Plastic damage

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

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