摘要
注塑成型工艺过程极其复杂且其对制品质量有重要的影响,获得优化的工艺参数是改善制品质量的关键.CAE技术可辅助优化工艺,但目前的应用是在计算机上的反复试错,依赖于设计者的经验,费时、费力且难以获得最优的工艺.将CAE及TaguchiDOE技术结合,可在较少的分析次数下自动获得优化工艺,从而改善了制品质量.收缩和沉降斑是衡量注塑制品质量的两个重要指标,文中基于一个工业产品,采用L9(34)正交矩阵进行实验,研究工艺参数对注塑制品内最大沉降斑和体收缩率变化的影响,获得优化工艺参数使体收缩率变化和沉降斑指数达到最小。
The process complexity of plastic injection molding makes it difficult to set up desired processing conditions and the quality of an injection-molded part is affected by these process factors, so how to get the optimum process conditions is key to improving the part quality CAE can aid process engineer to optimize the process conditions, but this method is only the trial-and-error on the computer It also depends on the experience of the operator and only the reasonable not the best process parameters can be obtained In this paper, CAE and Taguchi DOE (design of experiment) technique are combined to optimize the process conditions and to improve the part quality automatically by using smaller number of experiments Sink mark and shrinkage are two important quality indexes of injection-molded part In this paper, An L9(34) orthogonal array is conducted to investigate the significance of each factors on the sink mark indexes and volumetric shrinkage variation, and optimum process conditions are got to minimize the selected quality indexes based on an industry part The results prove the validity of the method
出处
《郑州大学学报（工学版）》
CAS
2003年第3期62-66,共5页
Journal of Zhengzhou University（Engineering Science）
基金
国家"863"计划资助项目(2002AA336120)
