Automatic strip layout design in progressive dies using the grouping genetic algorithm

Abstract

Abstract One of the most challenging topics in progressive die design is strip layout design. In the present study, a new method is presented for the automatic strip layout design for progressive dies using the Grouping Genetic Algorithm. A two-objective function is used in the optimization process. The first objective is minimizing the number of stations, and the second is achieving torque equilibrium. The proposed algorithm considers both the minimum number of stations and torque equilibrium simultaneously and is capable of balancing the die torque by adding additional stations (either active or idle) as needed. A software is developed in C# in the Solidworks environment to carry out the algorithm. The inputs to the software are the punch shapes and the constraints between the punches. The output is the strip layout design of sheet metal parts. The performance of the present algorithm is compared with the methods of other researchers and the results indicate that the proposed algorithm performance is improved in the tested cases.