Automated Selection of Gate Location Based on Desired Quality of Injection-Molded Part
作者:
B.H. Lee,
B.H. Kim,
期刊:
Polymer-Plastics Technology and Engineering
(Taylor Available online 1996)
卷期:
Volume 35,
issue 2
页码: 253-269
ISSN:0360-2559
年代: 1996
DOI:10.1080/03602559608000583
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
The objective is to develop a methodology that automatically predicts the “optimal” gate location(s) of injection molds based on injection-molding simulation. User-defined design evaluating criteria for three important parameters–-warpage, weld and meld lines in a constrained area, and Izod impact strength at the specific regions of the injection-molded part–-are introduced to determine the optimal gate location. Among the three parameters, the Izod impact strength is obtained using a previously trained neural network. The difficulty in predicting accurate values of engineering property like Izod impact strength is that they vary throughout a part with respect to the thermomechanical history. Upon evaluating each gate location, the trained neural network computation predicts, regardless of part geometry, Izod impact strength by a nonparameteric modeling of the complex relation with thermomechanical processing histories. The methodology comprises a two-stage process: (1) choosing the best among a set of gate locations generated based on a human designer's intuition, and (2) locally searching for the better gate location.
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