The Development and Application of Expert System about Metal Cutting Burr Based on Neural Network

Abstract

The formation of burr is a common phenomenon in metal cutting, its formation and variation directly affects processing quality and production efficiency of the workpiece. It is one of the key technologies which were applied in precision or super-precision manufacture and automatic processing. Burr expert system is not only a communication platform between burr formation mechanism and burr removal technology, but also an important channel that promote the development of burr-free cutting technology. It was highly concerned by mechanical engineering experts and scholars at home and abroad. This study develops neural network (NN) metal cutting burr expert system with network function, facing the application of burr removal technology, making use of neural network technology and expert knowledge system technology, and closely integrating experimental study of metal-cutting burr. Combined with milling, the study on prediction burr sizes using the system is carried out. The results show that the predicted results and the experimental results are in good agreement, which demonstrates the system is feasible and effective.