Backlash analysis of RV reducer based on Error Factor Sensitivity and Monte-Carlo Simulation
Author(s) -
Yao Sun,
Xingwei Zhao,
Fei Jiang,
Zhao Li,
D. Liu,
Gaohong Yu
Publication year - 2014
Publication title -
international journal of hybrid information technology
Language(s) - English
Resource type - Journals
eISSN - 2652-2233
pISSN - 1738-9968
DOI - 10.14257/ijhit.2014.7.2.25
Subject(s) - reducer , backlash , monte carlo method , sensitivity (control systems) , computer science , engineering , mathematics , statistics , mechanical engineering , artificial intelligence , electronic engineering
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.
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