Optimization for Cylindrical Cup Drawing Based on Multi-Objective Genetic Algorithm

In cylindrical cup drawing, roundness of the flange profile and drawing depth are often used as important indicators of material formability. The two varies with the change of blank holder force and friction coefficient, and conflict each other always. Optimization for cylindrical cup drawing is often considered as a multi-objective optimiation problem. Design of experiment method and genetic algorithm are often combined together to cope with this multi-objective optimization problem. An multi-objective optimization strategy for cylindrical cup drawing was suggested based on Genetic Algorithm. Latin Hypercube Sampling method was introduced to design the rational experimental samples, the objective function was defined based on roundness factor and drawing depth factor, the accurate response surface model for drawing process was built, Multi-objective Genetic Algorithm was adopted in optimization and Pareto solution was selected. To conduct numerical simulation with the optimal process parameters, the result has proved this strategy suitable for optimization design of cylindrical cup drwaing process.