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## Application of Genetic Algorithm and Penalty Function Method in Roll-Forming Process Parameters Optimization

Luo Zhigao Wang Xiang Li Ju Chen Kun Jiangsu University,Zhenjiang,Jiangsu,212013
According to the difficulties of adjusting the process parameters of conical rollers roll-forming,a mathematical model was established to optimize the rolling process parameters,and the multi-constrained objective function was transformed into unconstrained objective one using penalty function method,then fitness function was established which was suitable for genetic algorithm to optimize the rolling process parameters.At last,the graph about the objective function was given,which was solved by GA method and the inside point penalty function.Through the graph,the best technology parameters were obtained.Through the experiments,we compared the standard flight with rolling flight.Experimental results show that the method of using GA to optimize rolling parameters is feasible,and it also plays a great guide role in actual manufacturing in factory.
【Fund】： 江苏省科技攻关项目(BE2004093)
【CateGory Index】： TG335
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