Abstract

This paper established the model base, knowledge base, application base and test base for the cold extrusion process of internal thread and developed decision support system which realized the centralized management of related information for cold extrusion process of internal thread, maintained the consistency of data in real time and enforced the degree of information sharing. By using of the decision support system, expert system, intelligent inference technology and depending on the application requirements of the system, the overall structure of the decision support system for cold extrusion process of internal thread was established based on J2EE technology. Two accessorial decision-making methods of hybrid forecasting and application modification facilitated modeling the system business. Three-dimensional frame structure was used to represent the application example of the internal thread by cold extrusion process and to achieve the application type, information scalability of internal thread by cold extrusion process. Hybrid fast predicting mechanism which was the dynamic integration of internal thread by cold extrusion process knowledge and instance inference was applied to seek the optimal degree of internal thread by cold extrusion process.

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