DocumentCode :
2985739
Title :
Prediction for the Warpage of the Plastic Sheet Based on Artificial Neural Network
Author :
Qian, Qiubo ; Wang, Chuangyang
Author_Institution :
Sch. of Mech. & Electron. Eng., Soochow Univ., Suzhou, China
fYear :
2010
fDate :
25-27 June 2010
Firstpage :
1496
Lastpage :
1498
Abstract :
Moldflow is used to simulate the warpage of the plastic sheet under different molding process parameters. A 4-12-1 BP neural network model is established according to the simulated warpage data. Testing samples are used to verify the accuracy of the BP model. The warpage under the other molding process parameters are predicted by applying the established BP model. The results show that the combination of neural network and Moldflow can not only improve the molding process parameters effectively but also optimize the quality of the products.
Keywords :
backpropagation; mechanical engineering computing; moulding; neural nets; plastic deformation; plastics; 4-12-1 BP neural network model; artificial neural network; mold flow; molding process parameter; plastic sheet; simulated warpage data; testing sample; warpage prediction; Artificial neural networks; Data models; Mathematical model; Neurons; Plastics; Predictive models; Temperature; BP neural network; Moldflow; warpage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
Type :
conf
DOI :
10.1109/iCECE.2010.369
Filename :
5630167
Link To Document :
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