Abstract
In high-speed cam mechanisms, the output motion and positioning accuracy are affected greatly by residual vibrations. To reduce residual vibration, non-uniform rational B-splines (NURBS) is employed to reconstruct the cam profile. Based on elastic dynamic theory, this paper designs the multi-objective dynamic optimization model of high-speed cam mechanisms, and proposes an improved artificial fish swarm algorithm (IAFSA) to optimize the cam profile. Utilizing the taboo search strategy, NURBS profile is optimized twice with variable parameters. By adjusting parameters of NURBS, dynamic characteristics of the follower motion curve are improved, and the residual vibration is reduced. Finally, an optimization simulation example is given to demonstrate the usefulness and effectiveness of the approach.
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