article·2014-08-04

The development of a consultation expert system for metal materials processing and manufacturing

Shi–Yin Qin, Jing Zhang, Yun–Xia Zhang, Hai–Cheng Gu, Ning–Rong Lu, Da–Zhan Guo, Jia–Weng He

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Abstract

In this paper, a research work on the development of a consultation expert system for metal materials processing and manufacturing (ESMMPM) is presented, which can be run under Chinese DOS and programmed by PROLOG and C. A three–dimensional domain framework consisting of surface processing technologies, failure types, and machine components is proposed, from which the expert knowledge can be acquired. A method of combining predicate logic with production rules is applied to represent knowledge. A hybrid inference strategy is employed in which backward inference computation is used as a major tool, and forward inference as an auxiliary one. The knowledge base can be easily updated, deleted and added to in operation. The development of a cold forming tools subsystem has been completed, and the further development work based on neural networks and genetic algorithms is continuing.
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Research context

OpenAlex topics: Manufacturing Process and Optimization

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