Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

Automatic measurement and characterization of surface crack defect in steel based on morphological features

Authors
Xincheng Li, Yongchun Tang, Weixing Zhu, Xiaoli Wang, Chengwei Zhang, Xudong Liu, Liping Zhu
Corresponding Author
Xincheng Li
Available Online March 2016.
DOI
https://doi.org/10.2991/icmmct-16.2016.146How to use a DOI?
Keywords
morphological features; crack defect; measurement; characterization; linear morphological factor.
Abstract
In order to evaluate the effect of size and shape of crack defect on steel surface quality and mechanical properties, accurate measurement and characterization should be conducted. Aimed at the high measuring difficulty and low accuracy in the existing manual mode, a new series of characteristic parameters was proposed according to the morphological features of crack defect in steel. Through the quantitative analysis of parameters including linear morphological factor, defect equivalent and defect rate, the automatic measurement and numerical characterization of crack defect were realized. The results show that the above method can completely solve the high measuring difficulty of complex crack defect distributed with blocky inclusion and crack, which provides a reliable basis for the quantitative analysis of steel surface quality.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-165-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/icmmct-16.2016.146How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xincheng Li
AU  - Yongchun Tang
AU  - Weixing Zhu
AU  - Xiaoli Wang
AU  - Chengwei Zhang
AU  - Xudong Liu
AU  - Liping Zhu
PY  - 2016/03
DA  - 2016/03
TI  - Automatic measurement and characterization of surface crack defect in steel based on morphological features
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 753
EP  - 756
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.146
DO  - https://doi.org/10.2991/icmmct-16.2016.146
ID  - Li2016/03
ER  -