원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.7 No.2
2014.03
pp.283-292
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Error factors of RV reducer are not completely considered, leads to backlash precision is limited, so an improved backlash estimation model is proposed. RV reducer structure and working principle is deeply analyzed, a variety of error factors are considered, and the backlash estimation model is improved according to error propagation. Furthermore, sensitivity of all the error factors are analyzed, RV reducer backlash is obtained through Monte-Carlo simulation, and the simulation results are compared with the traditional computation results. It is conductive to taking fix action in the design stage, reducing backlash, improving the transmission accuracy.
목차
Abstract
1. Introduction
2. Structure of RV Reducer
3. RV Reducer Backlash Analysis
3.1. Influencing factors of backlash
3.2. Mathematical model of backlash
3.3. Calculation of backlash
3.4. Sensitivity analysis
4. RV Reducer Backlash Monte-Carlo Simulation
4.1. Monte Carlo simulation procedure
4.2. Inverse transformation of error factors
5. Results Analysis
6. Conclusion
Acknowledgements
References and Notes
1. Introduction
2. Structure of RV Reducer
3. RV Reducer Backlash Analysis
3.1. Influencing factors of backlash
3.2. Mathematical model of backlash
3.3. Calculation of backlash
3.4. Sensitivity analysis
4. RV Reducer Backlash Monte-Carlo Simulation
4.1. Monte Carlo simulation procedure
4.2. Inverse transformation of error factors
5. Results Analysis
6. Conclusion
Acknowledgements
References and Notes
저자정보
참고문헌
자료제공 : 네이버학술정보