Optimization of blanking processes using neural network simulation

Abstract EN

The present work describes a methodology using the finite element method and neural network simulation in order to predict the optimum punch–die clearance during sheet metal blanking processes.

A damage model is used in order to describe crack initiation and propagation into the sheet.

The proposed approach combines predictive finite element and neural network modeling of the leading blanking parameters.

Numerical results obtained by finite element computation including damage and fracture modeling were utilized to train the developed simulation environment based on back propagation neural network modeling.

The comparative study between the numerical results and the experimental ones shows the good agreement.