期刊
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
卷 103, 期 3, 页码 411-416出版社
ELSEVIER SCIENCE SA
DOI: 10.1016/S0924-0136(00)00498-2
关键词
artificial neural network; artificial intelligence; plastic injection molding; computer-aided engineering analysis
A neural network model for predicting the quality or soundness of the injected plastic parts based on key process variables and material grade variations has been developed. The approach uses a backpropagation 4-2-3 net (BPN) trained based on inputs/outputs data which were taken from simulation works carried out through a CAE software. The system reduces the time required for planning and optimizing of process conditions or operating parameters. (C) 2000 Published by Elsevier Science S.A.
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