Research On Intelligent Management System Of NC Tool Life

Tool life is an important parameter in the High-Speed Machining, it affects directly the establishment of tool demanding, calculating tool cost and the establishment of machining parameters, and so it affects machining efficiency and cutting cost. Because tool life is influenced by many factors, it is not only complicated and hard to get the appropriate result, but also it is very difficult in the process of new materials and new technics if it is calculated by traditional method. So, how to predict tool life rapidly and appropriately is very important in the High-Speed Machining.After analysis the defects in the traditional calculating method of tool life, one of the technologies of artificial intelligence-BP Neural Network was introduced, and the algorithm was programmed with Java programming language, then the model of tool life predicting and cutting parameters optimization were established. Through contrasted with the traditional calculating method, it was proved that it could reflect more exactly the varying relations between these physics quantities and their effect factors through simply model building and efficiently network studying, and it had the ability of self-study because it could obtain study samples from experimental data.In the other hand, to accelerate the operation velocity of BP and improve the global optimization ability, an advanced BP algorithm method was introduced, and Genetic Algorithm was used in optimizing the initial weights of BP Neural Network, the algorithm improved remedy the traditional defects such as slow constringency velocity and trending to fall into local minimum. It was proved that the algorithm had a better effect through a practical sample.In the end, an intelligent management system of NC tool life was designed according to the methodology of software engineering. Designed by JSP technology based on B/S mode, the system was simple and practical, and had a good user interface. With the Java technology, the system had high security and the ability of crossing platform.