Development Intellectual Design System For Tribology Materia

The design of tribology material in fact is the design of tribology system. As far as the developing new material ability of small and moderate factories is concerned, it is difficult for them to design a new formula by traditional method, and the development of intellectual design system for tribology material can not only save a lot of manpower and material resources but also improve the small and moderate factories' developing ability. In addition, it is significative to change the tradional design method and improve the intellectual design level in the domain of tribology material design.Basing on the fundamental theory of expert system (ES) and artificial neutral network (ANN), taking advantage of ANN's good ability of knowledge acquisition and expression and the merits of genetic algorithm (GA) as an optimize, a mingle intellectual design system for tribology material is presents by integrating ES, GA and ANN. it can acquire knowledge from the existing dada and can get knowledge itself. So it can learn itself, organize itself, and tolerate mistakes to overcome the shortcomings resulting from using ES or neutral network independently.In this paper, the author discussed the BP learning algorithm of ANN, apply it to knowledge acquisition of ES, put forward the conception of comparability and define the comparability of some components. Based on the theory that if the component and the structure is similar of two system, the two system should have the similar function, combining GA, develop the intellectual design system which can make good use of the existed formula in the system to design the new formula met with the user's requests. In addition, the author analyzed the data characters of the intellectual design system and built the rudiment of suitable the data-base for the system.