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#THE DYNISCO INJECTION MOLDERS HANDBOOK MANUALS#
F., (1990) Market-driven customer manuals using QFD, Proceedings of the AUTOFACT'90 Conference, Michigan, USA, pp. (1994) Optimisation of process parameters of injection molding with neural network application in a process simulation environment, Annals of the CIRP, 43, 449-452.Ĭole, G. (1996) Expert system aided troubleshooting in polymer engineering. (1989) The selection and setting of injection molding machines by means of process simulation.
(1994) Applying design of experiment analysis techniques to the injection molding process. The preliminary validation tests of the system have indicated that the system can determine a set of initial process ’meters for injection molding quickly without relying on experienced molding personnel, from which good quality molded parts can be produced.īlyskal, P. A computer-aided system for the determination of initial process ’meter setting for injection molding based on the proposed techniques was developed and validated in a simulation environment. Artificial neural network was introduced in the case adaptation while fuzzy logic was employed in the case indexing and similarity analysis. In this paper, application of artificial neural network and fuzzy logic in a case-based system for initial process ’meter setting of injection molding is described. Facing with the global competition, the current trial-and-error practice becomes inadequate. Determination of initial process ’meters for injection molding is a highly skilled job and based on skilled operator’s “know-how” and intuitive sense acquired through long-term experience rather than a theoretical and analytical approach.
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