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Transmission Efficiency Analysis of High-Efficiency Constant Velocity Joint
Technical Paper
2021-01-0705
ISSN: 0148-7191, e-ISSN: 2688-3627
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SAE WCX Digital Summit
Language:
English
Abstract
Multi-body dynamics simulation is widely used in the dynamic research of constant velocity joints (CVJ). Useful kinematic and dynamic conclusions can be obtained from simulations to replace part of the test process and reduce test costs. In this paper, multi-body dynamics parameterized (MBDP) models of the high-efficiency constant velocity joints are proposed in the software of ADAMS. A friction model and Hertz contact theory are applied to describe the contact status. And the torque transmission efficiency of the kind of high-efficiency CVJ is calculated through the MBDP model. Bench tests of torque transmission efficiency are carried out on the CVJ to verify the calculation accuracy of the multi-body dynamics model. And the test result of high-efficiency joint shows an excellent behavior for efficiency when compared with BJ. With the verified parameterized model of the high-efficiency joint, this paper analyzes the theoretical basis for the high transmission efficiency of the high-efficiency joint from the aspect of contact force and friction. And besides, the response surface method (RSM) is used to analyze the influence of the dimension parameters on the torque transmission efficiency of the high-efficiency joint. The dimension parameters such as pitch circle diameter (PCD), pressure Angle, similarity are considered to obtain a response surface prediction model, including six different factors. In addition, Analysis of Variance (ANOVA) and optimization are carried out through the RSM model to evaluate the importance of each dimension parameter on torque transmission efficiency, which is of great significance for the design of constant velocity joints.
Authors
Citation
Yu, X., Hou, Q., Zhen, R., and Shangguan, W., "Transmission Efficiency Analysis of High-Efficiency Constant Velocity Joint," SAE Technical Paper 2021-01-0705, 2021, https://doi.org/10.4271/2021-01-0705.Data Sets - Support Documents
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References
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