This study proposes a clearance, deformation, and friction numerical analysis method for cycloidal drives (CDFM) to design and optimize. The proposed method considers clearance, deformation, and friction while providing high computational efficiency for multi-parameter optimization design. Performances such as accuracy, backlash, stiffness, load capacity, and efficiency can be predicted, making this method an effective solution for optimizing cycloidal drives for high-performance robots. This study conducts simulation experiments on cycloidal drives with different parameters, and the results provide valuable insights into the effects of geometric deviations, teeth numbers, and friction coefficients on the performances of cycloidal drives. This proposed method is an efficient and effective solution for modeling and simulating cycloidal drive performance, especially transmission efficiency. It provides valuable insights into designing and optimizing cycloidal drives for high-performance robots.
No takes yet. Share an insight, caveat, or question.
Le et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: