Fatigue crack analysis of ferrite material by acoustic emission technique
Article
Article Title | Fatigue crack analysis of ferrite material by acoustic emission technique |
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ERA Journal ID | 210931 |
Article Category | Article |
Authors | Khan, Md. T. I. (Author), Rashid, A. A. (Author), Hidaka, R. (Author), Hattori, N. (Author) and Islam, Md. M. (Author) |
Journal Title | Journal of Mechanical Engineering and Sciences |
Journal Citation | 13 (2), pp. 5074-5089 |
Number of Pages | 16 |
Year | 2019 |
Place of Publication | Malaysia |
ISSN | 2231-8380 |
2289-4659 | |
Digital Object Identifier (DOI) | https://doi.org/10.15282/jmes.13.2.2019.21.0418 |
Web Address (URL) | https://journal.ump.edu.my/jmes/article/view/752 |
Abstract | Among various methods of Non-destructive techniques (NDT), analysis using released acoustic emission (AE) waves due to crack propagation is very effective due to its dynamic monitoring features. In fragmentation theory for AE there are some proportional relationships among the AE parameters i.e. AE event, AE energy, area and volume of cracks etc., which are calculated from the released AE waves from the dynamic crack inside any material. The necessity of calculating the fractal dimension has been found in such relationships and the value is emphasized for determining the geometry of the irregularity in crack surface and crack volume. In this paper a novel approach for evaluating that value based on image processing by MATLAB is proposed. The images of the cracks during propagation are preserved and utilized to find out the fractal dimension for analyzing the crack propagation characteristics. The AE energy is also estimated from the received AE waves. The positioning of the sensors plays a great impact on this calculation. Finally, the theoretical proportionality relations of AE parameters are interpreted experimentally during crack propagation behavior in ferrite cast iron under fatigue loading. |
Keywords | acoustic emission; acoustic energy; ferrite material; fatigue loading; fractal dimension; image processing |
ANZSRC Field of Research 2020 | 401607. Metals and alloy materials |
Byline Affiliations | Saga University, Japan |
Centre for Future Materials | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q5503/fatigue-crack-analysis-of-ferrite-material-by-acoustic-emission-technique
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