Proposal Model for Stamping Application Using Artificial Neural Networks System

In this research, the approaches of feature stamping design and Artificial Neural Networks (ANN) are combined to automate the process planning task and to generate process groups for set-ups. The model created in Computer Aided Process Planning (CAPP) system can provides different process using ANN for cylindrical parts. This model is composed by three principal modules, the first relates to geometrical in 3D modeling, the second treats calculations of the stamping process parameters and the third module proposes the processes of obtaining a final part using ANN system. The development of this system is based on the experiments and the knowledge to make specialists in this field. Indeed in this work we started with a theoretical study concerning the influence of the parameters of stamping and the causes of the principal defects of an operation of working of the cylindrical parts and the proposal for several typical examples of processes which are validated with industrialists. In this work we focus only in ANN structure for this application, what is Input? What is output ? to give industrial solution. The proposal method can substantially reduce the time needed to generate process plan and the results are of consistentquality.