摘要
基于粉末注射成形CAE技术,采用部分因子实验设计法,结合Moldflow软件对粉末注射成形中的注射过程进行数值模拟,预测各参数及其交互作用对坯件质量的影响.在此基础上,在丰庆FC-80型注塑机上进行工艺实验,研究温度、压力、填充速度、时间之间的关系及最优工艺参数组合.结果表明:温度、压力、填充速度、时间之间存在着显著的交互作用,其影响超过单个工艺参数的情况;实验条件下的最优工艺参数组合和数值模拟结果较为一致;将CAE技术与实验相结合,可用较少的分析次数获得优化工艺,从而改善制品质量.
Based on the CAE technology for powder injection molding and the fractional factorial design method, the injection process was numerically simulated by using the Moldflow software to forecast the effects of the process parameters and their pairwise interactions on the blank quality. According to the simulated results, the relationships among the temperature, the pressure, the filling speed and the time were investigated using a FC-80 injection mol- ding machine, and an optimal combination of process parameters was thus determined. The results indicate that (1) there exist strong pairwise interactions among the process parameters, which affect the product more greatly than a single factor; (2) the optimal combination of process parameters obtained by experiments accord well with the simulated one; and (3) the CAE technology in combination with experiments helps to optimize the process parameters and improve the product quality without repeated analyses.
出处
《华南理工大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2009年第2期49-53,共5页
Journal of South China University of Technology(Natural Science Edition)
基金
广东省高校科技成果转化项目(粤财教[2006]112号)
关键词
粉末注射成形
数值模拟
工艺优化
正交试验
两两交互作用
powder injection molding
numerical simulation
process optimization
orthogonal experiment
pair- wise interaction