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Metals 2017, 7(2), 66;

Evolution of Metal Surface Topography during Fatigue

1,2,* , 1,2
School of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei 230601, China
Key Laboratory of Construction Machinery Fault Diagnosis and Early Warning Technology, Anhui Jianzhu University, Hefei 230601, China
School of Engineering Science, University of Chinese Academy of Sciences, Beijing 100049, China
Author to whom correspondence should be addressed.
Academic Editors: João Manuel R. S. Tavares and Victor Hugo C. de Albuquerque
Received: 2 November 2016 / Revised: 13 February 2017 / Accepted: 15 February 2017 / Published: 22 February 2017
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Changes in surface topography reflect the state of fatigue damage. In this paper, a new method to characterize metal surface topography during fatigue has been proposed. Firstly, we acquired surface topography images based on machine vision and separated them into roughness, waviness, and form error images through a shearlet transform. Secondly, we constructed gray co-occurrence matrixes of the obtained surface topography images and calculated the characteristic parameters, such as contrast, correlation coefficient, energy, and entropy for all the original and separated images. Then, taking a Q235 steel specimen as an example for testing, the experimental results and theoretical analysis demonstrate that the parameter contrast increases while energy, correlation coefficient and entropy decrease gradually with number of loading circles, which reach their maximum and minimums before fracture, respectively. View Full-Text
Keywords: surface topography; fatigue damage; co-occurrence matrix; shearlet transform surface topography; fatigue damage; co-occurrence matrix; shearlet transform

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Zhu, D.; Xu, L.; Wang, F.; Liu, T.; Lu, K. Evolution of Metal Surface Topography during Fatigue. Metals 2017, 7, 66.

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