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| Multi-objective Dynamics Optimization of NURBS Profile in High-speed Cam Mechanisms Based on Improved Artificial Fish Swarm Algorithm |
| Xuan Guantao1 Shao Yuanyuan1 Lü Zhaoqin1 Feng Xianying2 Zheng Jizhou1 |
| 1. Mechanical and Electronic Engineering College, Shandong Agricultural University , Shandong Provincial Key Laboratory of Horticultural Machineries and Equipments ,Tai’an271018, China；2. School of Mechanical Engineering, Shandong University, Jinan 250061, China |
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Abstract To improve dynamic characteristics of high-speed cam mechanisms, Non-uniform rational B-Splines (NURBS) was used to fit modified-sine curve. Based on single degree of freedom elastic dynamic theory, this paper designed the multi-objective dynamic optimization model. The multi-objective dynamic model was optimized to search Pareto optimal set by an Improved Artificial Fish Swarm Algorithm, and optimized NURBS is acquired. Finally, this paper compared and analyzed the dynamic responses of NURBS profile and modified sine profile in high-speed cam mechanism. The results show that the Improved Artificial Fish Swarm Algorithm can effectively solve the multi-objective optimization problem. Optimized NURBS profile maintains modified sine profile fine kinematic characteristics, and the residual vibration is reduced. The high-speed cam mechanism designed by using this method has the advantages of stable transmission and low noise.
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Received: 07 February 2012
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2013, Vol. 32 
