The rotor vector (RV) gear reducer is a mechanism used for motion and torque transmission. With characteristics similar to a traditional cycloidal gear drive, it has been popularly applied in precision machinery because of its high-speed reduction ratio, large torque capacity, and high efficiency. In this work, we aim to analyze the kinematic error (transmission error) of the RV reducer with manufacturing and/or assembly tolerances. Formulae for the kinematic error are established by using the theory of gearing as well as tooth contact analysis. Subsequently, sensitivities of the kinematic error with respect to various design parameters are investigated. Lastly, a process to simulate the distribution of maximum kinematic errors of the gear reducer with various tolerance grades of the parts is developed via Monte Carlo method. It is shown that through selected tolerance control on the machine parts, the accuracy of the gear drive can be retained. The results of this work can be useful for controlling the manufacturing precision on the machine parts and assessing the overall accuracy of the mechanism in the design phase.
Cycloidal gear drives possess compact sizes, large reduction ratios, and low backlash. They are particularly suitable for applications in precise positioning and large output torque, for example, industrial robots and machine tools. Two main dynamic performances, transmission accuracy and backlash, is directly influenced by manufacturing errors. This paper aims to provide a direct method to effectively evaluate both performances. The mathematical models of transmission errors and backlash are established using the theory of gearing as well as tooth contact analysis. Three cases, considering profile modifications of the cycloidal gear and manufacturing errors, are evaluated to verify the correctness of the mathematical models.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.