28 August 1995 Design of an expert system for the process cycle and routing determination in turning
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Proceedings Volume 2620, International Conference on Intelligent Manufacturing; (1995) https://doi.org/10.1117/12.217551
Event: International Conference on Intelligent Manufacturing, 1995, Wuhan, China
Abstract
This paper presents an expert system as a solution approach to automatically determine the process routing and production of mechanical parts on a turning machine, and concerns with the realization of a CAPP system of generative type. The system is intended as an aid to the planner during the process planning. The automated solution of this problem was searched in the ambit of problem planning as search of domain dependent type, and in which the knowledge domain is used to limit and to structure the searching space. The realized model can generate the expert's procedure process routing and can be divided in the following two modules: form-features recognition and process planning. The form-features recognition module receives in input the part's geometrical description and provides in output the part's description through features tree-orientation; in such a tree the nodes represent the form- features which compose the part, while the edges connect the form-features which have this type of relation <contained in$RFAN. The results obtained with proved examples have borne out the goodness of the adopted solution. The choices taken by the operator have yielded good results, and reflect the same evaluations of the expert. Therefore, the following results are seen: (1) Good static evaluation criteria for machining reliability, and (2) Good dynamic evaluation roles for paths determination in the search space.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jamal El-Chaar, Roberto Rinaldi, Claudio Roberto Boer, "Design of an expert system for the process cycle and routing determination in turning", Proc. SPIE 2620, International Conference on Intelligent Manufacturing, (28 August 1995); doi: 10.1117/12.217551; https://doi.org/10.1117/12.217551
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