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注塑成型有限元分析管理和成型工艺优化系统
引用本文:凌成智,胡广洪.注塑成型有限元分析管理和成型工艺优化系统[J].精密成形工程,2018,10(1):161-166.
作者姓名:凌成智  胡广洪
作者单位:上海交通大学 塑性成形技术与装备研究院,上海 200030,上海交通大学 塑性成形技术与装备研究院,上海 200030
摘    要:目的针对注塑成型工艺过程,开发有限元分析项目流程管理和工艺参数优化的集成系统。方法参考企业项目流程,开发项目流程管理模块,使用多元回归拟合配合改进的模拟退火算法进行工艺参数的优化,通过塑料托盘翘曲变形量的优化来验证优化方法的准确性,进行塑料托盘的CAE分析正交试验,使用多元回归拟合试验数据并进行拟合优度检验,分别使用Isight和改进的模拟退火算法进行最优解的求解并对比计算结果,最后对得到的最优参数组合进行CAE分析得到变形量,将变形量与正交试验变形量对比。结果在回归方法中,使用惩罚系数为2的多项式岭回归效果较好,其优度指标R2为0.975,改进的模拟退火算法计算结果与Isight软件自适应模拟退火算法的计算结果基本一致,最优参数组合在Moldflow分析中的变形量为0.6805 mm,与之前的最小变形量0.7436 mm相比更小。结论使用回归拟合配合改进的模拟退火算法开发的工艺参数优化程序能起到较好的工艺参数优化效果。

关 键 词:注塑成型  有限元分析  项目管理  工艺优化
收稿时间:2017/12/10 0:00:00
修稿时间:2018/1/10 0:00:00

Finite Element Analysis Management and Process Optimization System of Injection Molding
LING Cheng-zhi and HU Guang-hong.Finite Element Analysis Management and Process Optimization System of Injection Molding[J].Journal of Netshape Forming Engineering,2018,10(1):161-166.
Authors:LING Cheng-zhi and HU Guang-hong
Affiliation:Institute of Plastic Forming Technology and Equipment, Shanghai Jiao Tong University, Shanghai 200030, China and Institute of Plastic Forming Technology and Equipment, Shanghai Jiao Tong University, Shanghai 200030, China
Abstract:The paper aims to develop an integrated system of project work flow management and process parameter optimization for injection molding finite element analysis. The project process management module was developed in line with the company''s project process. Multiple regression methods were used in combination with the improved simulated annealing algorithm to optimize process parameters. Cases of plastic tray warpage deformation optimization were used to verify the accuracy of the optimization method and carry out CAE analysis and orthogonal test for plastic tray. The multivariate regression method was used to fit the test data and calculate the score. The optimal solution was solved with Isight''s ASA and the improved simulated annealing algorithm respectively. And their results were compared. CAE analysis was performed with parameters of the optimal solution; the max warpage of analysis result was obtained, and the warpage was compared with those of orthogonal test. Polynomial ridge regression with penalty coefficient of 2 has the best regression effect and its R2 was 0.975. The calculation result of the improved simulated annealing algorithm was consistent with that of Isight''s ASA. The warpage of the optimal parameters in the Moldflow analysis was 0.6805 mm, which was smaller than the previous minimum warpage in orthogonal test of 0.7436 mm. The process parameter optimization program based on regression fitting and the improved simulated annealing algorithm can optimize parameters to some extent.
Keywords:injection molding  finite element analysis  project management  process optimization
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