Using Multi-objective Evolutionary Algorithms in the Optimization of Polymer Injection Molding

被引：0
|
作者：
Fernandes, Celio [1 ]
Pontes, Antonio J. [1 ]
Viana, Julio C. [1 ]
Gaspar-Cunha, A. [1 ]
机构：
[1] Univ Minho, Dept Polymer Engn, IPC, P-4800058 Guimaraes, Portugal
来源：
APPLICATIONS OF SOFT COMPUTING: FROM THEORY TO PRAXIS | 2009年 / 58卷
关键词：
D O I：
10.1007/978-3-540-89619-7_35
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A Multi-objective optimization methodology has been applied in the optimization of polymer injection molding process. This allowed the optimization of the operating conditions of the process from mold flow simulations, taking into consideration the existence of 5 criteria simultaneously, such as temperature difference on the molding at the end of filling, the maximum pressure, the pressure work, the volumetric shrinkage and the cycle time. The results produced shown that the proposed methodology is an efficient tool to be used in the optimization of this process.
引用
收藏
页码：357 / 365
页数：9
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