NEURAL NETWORK MODEL FOR TURNING OPERATION

In the paper an intelligent system, selecting the best set of tools on the basis of the 3D CAD model and the other relevant selection factor, has been conceived, For solving the complex classification problem the artificial intelligence method has been used; the neural networks. This concept has been used for the most widespread cutting process, i.e. turning. The results reached are in conforming with the expectations. A high degree of classification has been reached. The constant increase of the knowledge which the 6 system takes from the growing data base is considered to be a great benefit of the proposed system. Due to robustness and universality it is proper for classifying the cutting tools also in other cutting processes. The resulting solutions are comparable with the solutions given by experts. The system can be quite practically used with minor corrections adapted to the user.