Research Of Intelligence-based Expert System Reasoning Machine For Stamping Process Planning

Stamping process design is a complex systematic task. With the development of national economic, the manufacturers bring forward high requirement of the efficiency of stamping process design. Now, the radical improvement of the automation of stamping process design system, and the improvement of the efficiency and quality of the design, will depend much on the application of artificial intelligence(AI) techniques. An expert system(ES) is a computer program that is designed to emulate the logic and reasoning processes that an expert would use to solve a problem in his/her field of expertise, using artificial intelligence technology. The research and application of expert system have become the researching focus of the artificial intelligence of the world. Expert system, which using the experts'knowledge and experience to reason and make decision, is one effective way to solve the efficiency of stamping process planning. Reasoning machine is the thinking part of expert system and it is the one important part of expert system. Therefore, the research of expert system reasoning machine for stamping process planning has important theoretical significance and actual value to building the system for stamping process planning.Expert system for stamping process planning applies artificial intelligence technology to aid professional pressing designers with intelligent and constructive help on the design. Distinct from the traditional process, it has simulated the expert thinking process and used such knowledge to get the results, therefore its structure can be concluded as"expert system = knowledge + consequence"with knowledge database as foundation and consequence machine as its core. This essay focuses on the design and realization of this reasoning machine.In this paper, the structure model of expert system reasoning machine for stamping process planning was built. The definition of matching degree and its calculation was given based on the knowledge representation form of production rule, which combined with the knowledge characteristics, such as the related parameters and mechanism formulas, etc. Then, the conflict reduction strategy based on matching degree was presented. The uncertainty reasoning method based on the believable degree was proposed using the concept of believable degree. Microsoft .NET platform provides a very good basic system platform for expert system development. The direct heuristic reasoning machine of expert system was developed by using the .NET technology.The system can separate business transaction from client interaction and reasoning machine form knowledge base well. The conflict reduction strategy based on matching degree can solve the problem of choosing stamping process planning rules well. The uncertainty reasoning method based on believable degree can improve believable degree of the conclusion. The designed reasoning machine of stamping process planning expert system can obtain better inference results more fast and accurate. At the end of this paper, an example of stamping process design for a material part is demonstrated the reliability and practicability of the methods.