Transactions of Materials and Heat Treatment

Title：Multi-objective optimization on generalized knuckle mechanism in cold forging press based on Genetic Algorithm

Authors： PAN Qing-yuan LI Jiang-guo JIN Wei LI Ya-jun

Unit： Beijing Research Institute of Mechanical and Electrical Technology

KeyWords： generalized toggle mechanism cold forging press multi\|objective optimization engineering optimal solution Genetic Algorithm

ClassificationCode：TH122

year,vol(issue):pagenumber：2013,38(3):79-84

Abstract：

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 conditions, pendulum limit conditions, slide lateral force non-commutation condition, nether-link maximum declination condition, bottom dead point(BDP) beeline force transmission condition, process conditions and the stroke limit were derived. 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 optimal solution of the link system parameters. Compared with the original parameters, the combination property of the optimum solution has risen by 2.94%.

Funds：

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(2009ZX04004071 )

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