摘要
建立了冷锻压力机广义肘杆机构的向量化运动模型,并以此为基础确定了由曲柄存在条件、极位传动角条件、摆杆限位条件、滑块侧向力不换向条件、下连杆最大偏角条件、下死点直线传力条件、工艺性条件和行程限定等组成的约束方程组。提出了"产品经济性"、最大扭矩、工作区速度和最大加速度等指标相结合的优化适应度函数,使用遗传算法计算得到了杆系参数的工程最优解。与原参数相比,最优解的综合性能提升了2.94%。
A vectorial motion model of generalized knuckle mechanism in a cold forging press was established, on the base of which, the constraint equations set containing crank existence conditions, transmission angle spacing condi- tions, pendulum limit conditions, slide lateral force non-commutation condition, nether-link maximum declination con- dition, bottom dead point （BDP） beeline force transmission condition, process conditions and the stroke limit were de- rived. A fitness function combining the ＂product economy （PE）＂, the maximum torque, the work region velocity and the maximum acceleration was put forward, and the Genetic Algorithm （GA） was used to select the engineering opti- mal solution of the link system parameters. Compared with the original parameters, the combination property of the optimum solution has risen by 2.94%.
出处
《锻压技术》
CAS
CSCD
北大核心
2013年第3期79-84,共6页
Forging & Stamping Technology
基金
国家科技重大专项"高档数控机床与基础制造装备"资助项目(2009ZX04004-071)
关键词
广义肘杆机构
冷锻压力机
多目标优化
工程最优解
遗传算法
generalized toggle mechanism
cold forging press
multi-objective optimization
engineering optimal solu- tion
Genetic Algorithm
