Milling Strategy Prediction with SOM Neural Network

In this paper we present how with Artificial Neural Network (ANN) the prediction of milling tool-path strategy could be made, according to set technological aim. In our case the best possible surface quality of machined surface was taken as the primary technological aim. This paper shows how feature extraction from 3D CAD model and classification with self-organization neural network are done. The experimental results presented in this paper suggest that the prediction of milling strategy with self-organization neural network (SOM) is effective.