Application of Optimization Algorithms in Injection Molding Process Parameters

被引：1
|
作者：
Hu, Zehao [1 ]
Wei, Wei [1 ]
Liu, Juan [1 ]
Liu, Kun [1 ]
机构：
[1] Cent S Univ Forestry & Technol, Dept Mat Forming, Changsha 410004, Hunan, Peoples R China
来源：
ADVANCED DESIGN TECHNOLOGY, PTS 1-3 | 2011年 / 308-310卷
关键词：
Injection molding; Process parameters; neural networks ensemble; Agent model; Genetic algorithm;
D O I：
10.4028/www.scientific.net/AMR.308-310.3
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The data of process parameters and quality index from CAE simulation orthogonal test is used as training samples, the BP neural network is trained and the neural networks ensemble approximate calculation agent model of the relations between processing parameters and the quality index of product are obtained. The agent model with a clear mathematical formula calculates quickly and accurately, so it can optimize globally by the genetic algorithm. The best group of process parameters is obtained and a multi-objective optimization of the quality index of products is realized.
引用
收藏
页码：3 / 8
页数：6
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