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A Study on Manufacturing of Precision Injection Mold Using Neural Network  

Lee Sang Chan (목포대학교 기계시스템전공)
Publication Information
Journal of the Korean Society for Precision Engineering / v.22, no.5, 2005 , pp. 144-151 More about this Journal
Abstract
To predict the shrinkage of molded parts using numerical simulations, the mathematical model should be simplified to overcome the difficulties of formulation due to non-linearity of problems. So it is hard to predict the shrinkage exactly because of the simplification. In the present work, the neural network is used to predict the shrinkage which can implement nonlinear models very well. Comparison between the results of neural network and that of the commercial analysis software, ABAQUS, shows that the result of the neural network is in better agreement with that of the experiments.
Keywords
Precision injection mold; Neural network; Shrinkage;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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