[1]刘春太,肖长江,申长雨..基于遗传算法的注塑成型充模过程优化[J].郑州大学学报(工学版),2002,23(04):4-8.[doi:10.3969/j.issn.1671-6833.2002.04.002]
　Liu Chuntai,Xiao Changjiang,Shen Changyu.Optimization of injection molding filling process based on genetic algorithm[J].Journal of Zhengzhou University (Engineering Science),2002,23(04):4-8.[doi:10.3969/j.issn.1671-6833.2002.04.002]
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基于遗传算法的注塑成型充模过程优化()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
23
期数:
2002年04期
页码:
4-8
栏目:
出版日期:
1900-01-01

文章信息/Info

Title:
Optimization of injection molding filling process based on genetic algorithm
作者:
刘春太; 肖长江; 申长雨.
郑州大学橡塑模具国家工程研究中心,河南,郑州,450002, 郑州大学橡塑模具国家工程研究中心,河南,郑州,450002, 郑州大学橡塑模具国家工程研究中心,河南,郑州,450002
Author(s):
Liu Chuntai; Xiao Changjiang; Shen Changyu
关键词:
遗传算法;  注射成型;  数值模拟;  速度优化
Keywords:
DOI:
10.3969/j.issn.1671-6833.2002.04.002
文献标志码:
A
摘要:
在注塑成型的过程中,非均匀的熔体前沿充填速度将导致非一致的取向及非均匀收缩和翘曲变形,理想的充填模式应尽可能使熔体在充填过程中保持MFV不变.控制MFV的关键是优化充模过程的注射流率.针对这一问题,将遗传算法和数值模拟技术相结合,用于注塑成型充模过程的优化,确定螺杆行程中的最佳控制点,以及控制点处的注射体积流率的最优值,以获得均匀一致的MFV.算例表明,利用遗传算法得到的优化流率设置,可以使MFV的均匀性提高70%左右.
Abstract:
In the process of injection molding, the non-uniform filling speed of the melt front will lead to inconsistent orientation and non-uniform shrinkage and warpage deformation, and the ideal filling mode should keep the MFV unchanged as much as possible during the filling process. The key to controlling MFV is to optimize the injection flow rate of the mold filling process. In order to solve this problem, the genetic algorithm and numerical simulation technology are combined for the optimization of the injection molding filling process, and the optimal control point in the screw stroke and the optimal value of the injection volume flow rate at the control point are determined to obtain uniform and consistent MFV.

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更新日期/Last Update: 1900-01-01