Optimization of Process Parameters of Injection Molding with Neural Network Application in a Process Simulation Environment

CIRP Annals ◽  
1994 ◽  
Vol 43 (1) ◽  
pp. 449-452 ◽  
Author(s):  
G.H. Choi ◽  
K.D. Lee ◽  
N. Chang ◽  
S.G. Kim
Keyword(s):  
Neural Network ◽  
Injection Molding ◽  
Process Parameters ◽  
Process Simulation ◽  
Simulation Environment ◽  
Optimization Of Process Parameters ◽  
Network Application

Thin-Wall Plastic Parts’ Warpage Analysis Based on Taguchi Method

2011 ◽  
Vol 80-81 ◽  
pp. 375-378
Author(s):  
Jian Zhong Chu ◽  
Rong Song
Keyword(s):  
Injection Molding ◽  
Process Parameters ◽  
Orthogonal Test ◽  
Thin Wall ◽  
Engineering Technology ◽  
Important Indicator ◽  
Leading Role ◽  
Optimization Of Process Parameters ◽  
Wall Injection ◽  
Plastic Parts

Warping deformation is an important indicator to evaluate the performance of thin-wall Plastic. In this paper, using the CAE（computer aided engineering）technology and DOE（Design of experiment）in the thin-wall injection molding field, take a box-shaped thin-wall plastic parts for example, using the moldflow software to simulation analyze of the process parameters of injection molding. By analyzing the causes of plastic parts’ warpage, learn the holding pressure is a leading role in warping. Optimization of process parameters under the guidance of the orthogonal test, it can reduce the warpage of plastic parts effectively.

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