Abstract: Based on reverse engineering, geometric model of bracket of Refine business vehicles is reconstructed. By using Dynaform software, the stretching forming of the part is simulated with different process parameters．Based on the Dynaform software platform, the prediction model of object function is established by using artificial neural network and is regarded as knowledge source of optimization algorithm. In object function, blank holder force, draw bead height and fillet radius are design variables and prevention of cracking is considered as the optimization objective. The virtual training samples of network are obtained by finite element simulating results. Process parameters optimization is performed with genetic algorithm. The experimental results indicate that the numerical simulation is effective and the process optimization based on artificial neural network and genetic algorithm is feasible. An effective mean is offered for determining optimum deformation process parameters of sheet metal forming.

Key words: Artificial neural network, Automobile panel, Numerical simulation, Process optimization, Stretch forming