注射工艺参数的快速确定方法  

A Method for Quick Determination of the Injection Parameters

作　　者：郑生荣[1] 辛勇[1] 杨国泰[1] 何成宏[1] 

机构地区：[1]南昌大学,江西南昌330029

出　　处：《模具工业》2003年第12期9-13,共5页Die & Mould Industry

基　　金：教育部科技研究重点项目(0366);江西省科委科技项目资助(Z1891)

摘　　要：采用试验法来调整并确定注射工艺参数的方法不仅费时费料、效率低下 ,而且由于参数间的相互影响 ,难以得到最合适的参数值。现对人工神经网络技术在注射工艺参数快速确定方面的应用进行了研究 ,在CAE模拟的基础上 ,利用MATLAB下的神经网络工具箱建立了BP网络模型 ,编制了应用程序 ,对参数非线性映射过程进行求解。结果表明 。Using experiments to adjust and determine the injection parameters is not only a waste of time and material, but also difficult to obtain the best values due to the mutual effect of the parameters. A research was made on the application of artificial neural network to quick determination of the injection parameters. On the basis of the CAE simulation, a BP model was built up by using the neural network toolbox of Matlab, and the application program was worked out to acquire the nonlinear mapping output, which shows that the artificial neural network is applicable for quick determination of the injection parameters.

关 键 词：人工神经网络 CAE MATLAB 注射参数 确定方法 

分 类 号：TP39[自动化与计算机技术—计算机应用技术] TG241[自动化与计算机技术—计算机科学与技术]