基于数值模拟的粉末注射成形工艺参数优化

在本文中，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的注射过程进行数值模拟，确定了各参数及起交互作用对坯件质量的影响程度的预测。并以此为基础，在丰庆FC-80型注塑机进行工艺实验，研究了压力、速度、时间之间的关系及其最优工艺参数组合。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并超过了单个工艺参数的影响，实验条件下的最优工艺参数组合和数值模拟的结果较为一致，将CAE技术与实验相结合,可在较少的分析次数下获得优化工艺,从而改善了制品质量。

Optimization of process Parameters of Metal-Injection-Molding (MIM) based on Numerical Simulation

In this paper, based on the CAE technology for MIM and fractional factorial design method, the numerical simulations for the filling process was executed in different process conditions by the Moldflow software. It was realized that the extent of the effects of the single factor and pairwise interaction between the process parameters on quality of green parts were forecasted. According to the result of the simulation, the relationships of pressure, velocity and time and their optimal combination were researched by the experiments using a FC-80 plastic-Injection-Moulding machine made by a company named FONG CHIN. The experiment results suggested that the pressure, velocity and time have a obvious pairwise interaction which can have more effect on the product than single factor. It was shown that there was a good consistency between the numerical simulation and experiment. The CAE technique and the experiments are combined to optimize the process conditions and improve the part quality automatically by using smaller number of experiments.