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- Title
Evaluating the wear state of ferromagnetic material using magnetic memory signals based on tribo-magnetisation.
- Authors
Haihong Huang; Bin Xiong; Zhengchun Qian; Jiaxin Ye; Zhifeng Liu
- Abstract
Tribology experiments using AISI 1045 carbon steels are used to investigate the tribo-magnetisation phenomenon and a new method for monitoring the wear state during friction is proposed. Variation in the magnetic memory signals on the wear surface of ferromagnetic material is studied. The results show that, in the testing direction parallel to the sliding and after removing wear debris during the severe wear stage, the distance between the trough features of the tangential component Hp(x) and that between the peak features of the gradient K of the normal component Hp(y) can provide the length of the wear area. Moreover, in the testing direction normal to the sliding, the tangential component Hp(x) shows obvious V-shape features, while the normal component Hp(y) has peak-trough features, which could also be used to estimate the width of the wear area. The tribology parameters and magnetic signal characteristics are also quantitatively correlated. The wear loss, m, increases exponentially with an increase in the maximum gradient Kmax of Hp(y), while the friction coefficient, f, and wear depth, h, increase linearly with Kmax . The maximum gradient Kmax, which can be measured using a simple technique, is a potential indicator to preliminarily evaluate the wear state of ferromagnetic materials during frictional wear
- Subjects
FERROMAGNETIC materials; MAGNETIZATION; MAGNETIC memory (Computers); WEAR resistance; MECHANICAL wear
- Publication
Insight: Non-Destructive Testing & Condition Monitoring, 2018, Vol 60, Issue 6, p335
- ISSN
1354-2575
- Publication type
Article
- DOI
10.1784/insi.2018.60.6.335