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Lookup NU author(s): Ping Wang,
Professor Gui Yun TianORCiD
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Magnetic Barkhausen Noise (MBN) is an effective non-destructive testing approach for ferromagnetic material residual stress measurement and evaluation. However, the common MBN signal features such as the time to peak value and frequency spectrum are not accurate enough for stress evaluation due to the randomness of MBN signal. This paper proposed a new method to calculate a curve which looks like magnetic hysteresis loop (B-H curve) based on the line integral from envelope curve of MBN signal. And some new features are extracted from the above integrated B-H curve. These new signal features show a good linear relationship with applied stress. By comparing these new features with previous common features, we find that the envelope area and center height difference of new features can effectively reduce the adverse impact on stress evaluation due to the randomness of MBN signal.
Author(s): Wang P, Huang K, Xu JQ, Li MD, Zhang ZB, Tian GY, Zhang HM, Psuj G
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 2015 International Symposium on Material, Energy and Environment Engineering (ISM3E 2015)
Year of Conference: 2015
Print publication date: 01/01/2016
Acceptance date: 01/01/1900
Publisher: Atlantis Press
Library holdings: Search Newcastle University Library for this item
Series Title: Advances in Engineering Research