DocumentCode :
2860242
Title :
IMPOS: A Method and System for Injection Molding Optimization
Author :
Bai, L. ; Gong, L. ; Chen, S.
Author_Institution :
Shantou Univ.
fYear :
2006
fDate :
24-26 May 2006
Firstpage :
1
Lastpage :
5
Abstract :
CAE techniques have, in recent years, become increasingly popular in plastic injection molding. However, in most practices, either molding parameters are not optimized or the optimization techniques are too complex to use. In this paper we discuss a fully automatic approach of integrated injection molding parameter optimization and simulation (IMPOS) to plastic injection molding problems. A working system has been developed. The experimental testing results with the system have demonstrated the efficacy of the method for handling quality problems in plastic injection molding such as warpage. In this method, a genetic algorithm is developed and integrated with an injection molding simulation system to achieve both parameter optimization and full automation of the process
Keywords :
genetic algorithms; injection moulding; plastics; genetic algorithm; injection molding parameter optimization and simulation; parameter optimization; plastic injection molding problems; warpage; Algorithm design and analysis; Computational modeling; Computer aided engineering; Computer simulation; Design optimization; Genetic algorithms; Injection molding; Optimization methods; Plastics; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications, 2006 1ST IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
0-7803-9513-1
Electronic_ISBN :
0-7803-9514-X
Type :
conf
DOI :
10.1109/ICIEA.2006.257194
Filename :
4025811
Link To Document :
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