Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)

A Wear Prediction Model for Spur Gears Based on the Dynamic Meshing Force and Tooth Profile Reconstruction

Authors
Zhouli Zhang, Changsong Zheng, Mengquan Wen, Shuo Yang, Huizhu Li, Qiu Du
Corresponding Author
Zhouli Zhang
Available Online July 2016.
DOI
https://doi.org/10.2991/iccia-17.2017.150How to use a DOI?
Keywords
Dynamic meshing force, Reconstruction of tooth profile, Wear, Archard's wear equation.
Abstract
In this study, Archard's wear equation is combined with a nonlinear dynamic model and a reconstraction method for the wear tooth profile to predict the wear depth of gears. The dynamic model, which is used to determine the dynamic meshing force, and the reconstraction of the wear tooth profile serves as the basis of the sliding coefficient calculation. Next, the dynamic meshing force and sliding coefficient are used to calculate the surface wear in Archard's wear equation. Then, the dynamic meshing force and sliding coefficient would be recalculated according to the surface wear state. After multiple iterations of previous steps, the simulation results show that the non-uniform wear of the gear surface has a great influence on the distribution of dynamic meshing force, and will increase significantly the peak of dynamic meshing force. And in return, the changing dynamic meshing force would enhance the non-uniformity of wear. These two factors influence and exaggerate each other, but are limited by sliding coefficient. When the driving gear runs after 858 million cycles accumulatively, the maximum wear depth reaches 0.0737mm, and the peak value of dynamic meshing force is more than 4 times of the unweared, which exists the risk of overload. The proposed model can be used to predict gears wear life and design gears, which has a certain engineering significance.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
Part of series
Advances in Computer Science Research
Publication Date
July 2016
ISBN
978-94-6252-361-6
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccia-17.2017.150How 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  - Zhouli Zhang
AU  - Changsong Zheng
AU  - Mengquan Wen
AU  - Shuo Yang
AU  - Huizhu Li
AU  - Qiu Du
PY  - 2016/07
DA  - 2016/07
TI  - A Wear Prediction Model for Spur Gears Based on the Dynamic Meshing Force and Tooth Profile Reconstruction
BT  - 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 851
EP  - 860
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.150
DO  - https://doi.org/10.2991/iccia-17.2017.150
ID  - Zhang2016/07
ER  -