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基于遗传算法和差分进化的高速冲床运动学优化
引用本文:孙夕阳,王栓虎. 基于遗传算法和差分进化的高速冲床运动学优化[J]. 轻工机械, 2014, 0(1): 45-47,53
作者姓名:孙夕阳  王栓虎
作者单位:南京理工大学机械工程学院,江苏南京210094
基金项目:基金项目:国家自然基金项目(51275243);江苏省科技支撑项目(BE2012174)
摘    要:提出一种可以实现自身动平衡的高速冲床的新型传动机构。针对优化算法的缺陷,提出一种遗传算法与差分进化相结合的混合算法,并阐述了该算法的流程。将该机构简化,进而建立其优化模型。利用混合算法对其进行优化,得出优化前后冲压滑块的运动学特性比较图。结果表明,优化后的结构在高速冲压时具有更好的输出运动特性,表明该算法是一种非常切实有效的优化算法。

关 键 词:高速冲床  运动学  优化设计  遗传算法—差分进化

Kinematic Optimization of High-Speed Press Based on Genetic Algorithm and Differential Evolution
SUN Xiyang,WANG Shuanhu. Kinematic Optimization of High-Speed Press Based on Genetic Algorithm and Differential Evolution[J]. Light Industry Machinery, 2014, 0(1): 45-47,53
Authors:SUN Xiyang  WANG Shuanhu
Affiliation:(School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China)
Abstract:The novel transmission mechanism of high-speed press which ensures inertial balance was proposed. For the deficiency of optimum algorithm, a hybrid algorithm combining genetic algorithm with differential evolution was presented and its scheme was stated. Then the mechanism was simplified and optimization model was established. A comparative study for kinematics was made between original and optimized dimensions by the GA-DE algorithm. As the result shown, the optimized mechanism is of better output motion for high-speed punching, which indicates the algorithm is highly effective.
Keywords:high-speed press  kinematics  optimal design  genetic algorithm-differential evolution(GA-DE)
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