Next Article in Journal
The Effect of Nb/Ti Ratio on Hardness in High-Strength Ni-Based Superalloys
Next Article in Special Issue
Non-Destructive Metallic Materials Testing—Recent Research and Future Perspectives
Previous Article in Journal
Effect of Process and Post-Process Conditions on the Mechanical Properties of an A357 Alloy Produced via Laser Powder Bed Fusion
Previous Article in Special Issue
Detection of the Magnetic Easy Direction in Steels Using Induced Magnetic Fields
Article Menu
Issue 2 (February) cover image

Export Article

Open AccessArticle
Metals 2017, 7(2), 66; doi:10.3390/met7020066

Evolution of Metal Surface Topography during Fatigue

1,2
,
1,2
,
1,2,* , 1,2
and
2,3
1
School of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei 230601, China
2
Key Laboratory of Construction Machinery Fault Diagnosis and Early Warning Technology, Anhui Jianzhu University, Hefei 230601, China
3
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
View Full-Text   |   Download PDF [6321 KB, uploaded 22 February 2017]   |  

Abstract

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
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

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

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Metals EISSN 2075-4701 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top