Abstract
For the RV (rotate vector) reducer, taking the rule between the assembly clearance and transmission error of RV reducer as the research object. Based on the multi-body system dynamics theory and virtual prototype technology, the mixed contact test algorithm within relative coordinate system shape space method and boundary box method, and the Lankarani contact force model based on Hertz contact theory to define the contact pair, which including the contact between cycloid gear and pin wheels, the contact between pin wheels and pin wheel housing, and the mating involutes gear pair, define the rotate pair between the crank shaft and cycloid gear connection as bushing to eliminate the over constrained condition in the parallel double crank kinematic mechanism, define the clearance of arm bearings, supporting bearings and main bearings as 0 μm, a virtual prototype model of RV reducer is established. On the basis of this virtual prototype model, define the clearances of the main bearings, arm bearings and the supporting bearings as factors, a orthogonal simulation experiment with three factors and four levels is designed (the level of all factors are four), which used for studying the rule between the different clearance with the angular transmission error and no-load hysteresis error. Through orthogonal simulation results, the conspicuousness of each bearing clearance on angular transmission error and no-load hysteresis error is obtained: the Significant order from large to small are supporting bearing clearance larger than main bearing clearance and larger than arm bearing clearance.
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Acknowledgments
This work is supported by The National Key Research and Development Program of China (2017YFB1300700) and The Key Research and Development Program of Jiangsu Providence (BE2015006-4). The author would also like to acknowledge the anonymous reviewers for their insightful comments and suggestions on an earlier draft of this paper references.
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Yinghui, Z., Weidong, H., Xiaoyu, W., Yuechong, L. (2019). Transmission Error Simulation Analysis for RV Reducer with Orthogonal Experiment Method. In: Yu, H., Liu, J., Liu, L., Ju, Z., Liu, Y., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2019. Lecture Notes in Computer Science(), vol 11740. Springer, Cham. https://doi.org/10.1007/978-3-030-27526-6_55
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