Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)

Theoretical Calculation and Simulation Analysis of No-load Torque of Main Reducer

Authors
Jinli Xu, Ganlin Sheng
Corresponding Author
Jinli Xu
Available Online November 2017.
DOI
10.2991/amms-17.2017.68How to use a DOI?
Keywords
main reducer; tapered roller bearing; bearing preload; no-load torque; vibration
Abstract

Bearing support stiffness of driving bevel gear is the main source of vibration and noise of automobile rear axle main reducer. There are closed relations between bearing preload and no-load torque of main reducer and support stiffness. Taking the car's main reducer as the research object, this paper explored the closed relations while the driving bevel gear bearing of main reducer for automobile was under preload. We obtained the suitable suitable stiffness of the main reducer bearing by simulation, after which we got the optimum preload and no-load torque when assembling. This study provides a theoretical support for reducing vibration and noise of main reducer.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
Series
Advances in Intelligent Systems Research
Publication Date
November 2017
ISBN
10.2991/amms-17.2017.68
ISSN
1951-6851
DOI
10.2991/amms-17.2017.68How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jinli Xu
AU  - Ganlin Sheng
PY  - 2017/11
DA  - 2017/11
TI  - Theoretical Calculation and Simulation Analysis of No-load Torque of Main Reducer
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
PB  - Atlantis Press
SP  - 300
EP  - 306
SN  - 1951-6851
UR  - https://doi.org/10.2991/amms-17.2017.68
DO  - 10.2991/amms-17.2017.68
ID  - Xu2017/11
ER  -