基于遗传算法和差分进化的高速冲床运动学优化  

Kinematic Optimization of High-Speed Press Based on Genetic Algorithm and Differential Evolution

作　　者：孙夕阳 王栓虎[1] 

机构地区：[1]南京理工大学机械工程学院,江苏南京210094

出　　处：《轻工机械》2014年第1期45-47,53,共4页Light Industry Machinery

基　　金：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。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.

关 键 词：高速冲床 运动学 优化设计 遗传算法-差分进化 

分 类 号：TG385.1[金属学及工艺—金属压力加工] TP391.7[自动化与计算机技术—计算机应用技术]