Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)

Comparative analysis of wear resistance of Non-smooth metal surface between laser and machining

Authors
Zhuojuan Yang, Youquan Chen, Lidan Fan
Corresponding Author
Zhuojuan Yang
Available Online December 2016.
DOI
https://doi.org/10.2991/mcei-16.2016.205How to use a DOI?
Keywords
Non-smooth metal surface; Laser ; Wear resistance; Non smooth wearable technology
Abstract
According to the biological non smooth theory, the design of non smooth surface morphology, mechanical and laser processing method, the formation of similar organisms form non smooth surface on the surface of 45 steel; wear test, laser machining and smooth specimen samples and samples in the bionic micro friction wear test machine, the test results of qualitative and quantitative analysis non smooth surface in the mechanical parts wear resistance of the role; the smooth, bionic coupling, mechanical processing of wear test, found that wear resistance of specimens with optimal laser bionic coupling surface, followed by machining the bionic sample, unprocessed smooth surface wear resistance of the sample is the worst.
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Proceedings
2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-282-4
ISSN
1951-6851
DOI
https://doi.org/10.2991/mcei-16.2016.205How 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  - Zhuojuan Yang
AU  - Youquan Chen
AU  - Lidan Fan
PY  - 2016/12
DA  - 2016/12
TI  - Comparative analysis of wear resistance of Non-smooth metal surface between laser and machining
BT  - 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SP  - 980
EP  - 984
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.205
DO  - https://doi.org/10.2991/mcei-16.2016.205
ID  - Yang2016/12
ER  -