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Application of optimization algorithms in injection molding process parameters optimization

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成果类型:
期刊论文、会议论文
作者:
Hu, Zehao*;Wei, Wei;Liu, Juan;Liu, Kun
通讯作者:
Hu, Zehao
作者机构:
[Liu, Kun; Hu, Zehao; Liu, Juan; Wei, Wei] Cent S Univ Forestry & Technol, Dept Mat Forming, Changsha 410004, Hunan, Peoples R China.
通讯机构:
[Hu, Zehao] C
Cent S Univ Forestry & Technol, Dept Mat Forming, Changsha 410004, Hunan, Peoples R China.
语种:
英文
关键词:
Genetic algorithms;Global optimization;Neural networks;Numerical models;Parameter estimation;Software agents;Agent model;BP artificial neural network;Injection molding process;Neural networks ensembles;Optimization algorithms;Orthogonal experiment design;Process parameters;Simulation and calculations;Injection molding
期刊:
Materials Science Forum
ISSN:
0255-5476
年:
2012
卷:
704-705
页码:
183-190
会议名称:
6th International Conference on Physical and Numerical Simulation of Materials Processing, ICPNS2010
会议论文集名称:
Materials Science Forum
会议时间:
16 November 2010 through 19 November 2010
会议地点:
Guilin
会议主办单位:
Guilin Univ Elect Technol
会议赞助商:
Wollongong Univ, Chinese Mech Engn Soc, Minerals, Met & Mat Soc, Dynam Syst Inc, Harbin Inst Technol, Huaqiao Univ, Henan Polytechn Univ, Graz Univ Technol, Univ Sao Paulo, McGill Univ, Beijing Aviat Mfg Engn Inst, Univ Rijeka, Univ W Bohemia, Univ Oulu, GKSS Res Ctr, Hong Kong Polytechn Univ, Univ Delhi, Univ Osaka, JWRI, Univ Electro Commun, Chungnam Natl Univ, Korea Inst Machinery & Mat, Pusan Natl Univ, Riga Tech Univ, Delft Univ Technol, Moscow State Univ, RAS, Inst Phys & Mat Sci, Moscow State Inst Elect & Math, Moscow State Inst Steel & Alloys, Nanyang Technol Univ, Natl Taiwan Univ, Ege Univ, Univ Cambridge, Dept Mat & Met, EO Paton Elect Weld Inst, BATTELLE
主编:
Niu, J Zhou, GT
出版地:
KREUZSTRASSE 10, 8635 DURNTEN-ZURICH, SWITZERLAND
出版者:
Trans Tech Publications Ltd
ISBN:
9783037853061
机构署名:
本校为第一且通讯机构
院系归属:
机电工程学院
摘要:
In this paper, the numerical simulation and calculation of injection molding process are taken in the Moldflow software. The BP artificial neural network combining with the orthogonal experiment design method is used to set up the injection molding process agent model, genetic algorithms are applied to realize global optimization, finally, the optimal combination of process parameters of each quality indicators ...

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