Paper
9 June 1988 The Shrinkage Model And Expert System Of Plastic Lens Formation
Rong-Seng Chang
Author Affiliations +
Proceedings Volume 0892, Simulation and Modeling of Optical Systems; (1988) https://doi.org/10.1117/12.944342
Event: 1988 Los Angeles Symposium: O-E/LASE '88, 1988, Los Angeles, CA, United States
Abstract
Shrinkage causes both the appearance & dimension defects of the injected plastic lens. We have built up a model of state equations with the help of finite element analysis program to estimate the volume change (shrinkage and swelling) under the combinations of injection variables such as pressure and temperature etc., then the personal computer expert system has been build up to make that knowledge conveniently available to the user in the model design, process planning, process operation and some other work. The domain knowledge is represented by a R-graph (Relationship-graph) model which states the relationships of variables & equations. This model could be compare with other models in the expert system. If the user has better model to solve the shrinkage problem, the program will evaluate it automatically and a learning file will be trigger by the expert system to teach the user to update their knowledge base and modify the old model by this better model. The Rubin's model and Gilmore's model have been input to the expert system. The conflict has been solved both from the user and the deeper knowledge base. A cube prism and the convex lens examples have been shown in this paper. This program is written by MULISP language in IBM PC-AT. The natural language provides English Explaination of know why and know how and the automatic English translation for the equation rules and the production rules.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rong-Seng Chang "The Shrinkage Model And Expert System Of Plastic Lens Formation", Proc. SPIE 0892, Simulation and Modeling of Optical Systems, (9 June 1988); https://doi.org/10.1117/12.944342
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KEYWORDS
Systems modeling

Computing systems

Process modeling

Virtual colonoscopy

Mathematics

Polymers

Temperature metrology

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