文章摘要
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.
LING Cheng-zhi,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.
注塑成型有限元分析管理和成型工艺优化系统
Finite Element Analysis Management and Process Optimization System of Injection Molding
投稿时间:2017-12-10  修订日期:2018-01-10
DOI:10.3969/j.issn.1674-6457.2018.01.021
中文关键词: 注塑成型  有限元分析  项目管理  工艺优化
英文关键词: injection molding  finite element analysis  project management  process optimization
基金项目:
作者单位
凌成智 上海交通大学 塑性成形技术与装备研究院上海 200030 
胡广洪 上海交通大学 塑性成形技术与装备研究院上海 200030 
摘要点击次数: 3980
全文下载次数: 3361
中文摘要:
      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。
英文摘要:
      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.
查看全文   查看/发表评论  下载PDF阅读器
关闭

关于我们 | 联系我们 | 投诉建议 | 隐私保护 | 用户协议

您是第12080568位访问者    渝ICP备15012534号-6

>版权所有:《精密成形工程》编辑部 2014 All Rights Reserved

>邮编:400039 电话:023-68679125传真:02368792396 Email: jmcxgc@163.com

>    

渝公网安备 50010702501719号