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《Die & Mould Industry》 2010-01
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Efficiency optimization of injection molding process parameters based on neural network and variants of canonical genetic algorithms

HUANG Zong-nan1,HE Lan-lan1,HUANG Fu-shun2,WANG Qi1,LI Chun-ping2(1.School of Mechatronics Engineering and Automation,Shanghai University,Shanghai 200072,China;2.Shanghai Fujitech Plastic Co.,Ltd,Shanghai 200040,China)  
A correlation model between the forming quality of plastic part and injection molding parameters was set up using radial basis function neural network. The variants of canonical genetic algorithms were applied to optimize the mold filling and holding pressure parameters.The method proved effective and efficient.
【CateGory Index】: TP391.7
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