华南理工大学学报(自然科学版) ›› 2009, Vol. 37 ›› Issue (2): 49-53.

• 机械工程 • 上一篇    下一篇

基于数值模拟的粉末注射成形工艺参数优化

郑振兴 夏伟 周照耀   

  1. 华南理工大学 机械与汽车工程学院, 广东 广州 510640
  • 收稿日期:2008-03-21 修回日期:2008-06-10 出版日期:2009-02-25 发布日期:2009-02-25
  • 通信作者: 郑振兴(1975-),男,工程师,博士生,主要从事金属粉末注射成形研究. E-mail:zhengzhenxing@sina.com
  • 作者简介:郑振兴(1975-),男,工程师,博士生,主要从事金属粉末注射成形研究.
  • 基金资助:

    广东省高校科技成果转化项目(粤财教[2006]112号)

Optimization of Process Parameters of Powder Injection Molding Based on Numerical Simulation

Zheng Zhen-xing  Xia Wei  Zhou Zhao-yao   

  1. School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, Guangdong, China
  • Received:2008-03-21 Revised:2008-06-10 Online:2009-02-25 Published:2009-02-25
  • Contact: 郑振兴(1975-),男,工程师,博士生,主要从事金属粉末注射成形研究. E-mail:zhengzhenxing@sina.com
  • About author:郑振兴(1975-),男,工程师,博士生,主要从事金属粉末注射成形研究.
  • Supported by:

    广东省高校科技成果转化项目(粤财教[2006]112号)

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.

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

Abstract:

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.

Key words: powder injection molding, numerical simulation, process optimization, orthogonal experiment, pair- wise interaction