摘要
以某汽车贯穿灯LOGO塑件为研究对象,通过正交试验、计算机辅助工程(CAE)软件和径向基函数(RBF)神经网络对注塑工艺参数进行优化,并对优化结果进行生产验证,得到了满足质量要求的产品。
Taking the LOGO plastic part of a certain car through light as the research object,the injection molding process parameters were optimized through orthogonal experiments,computer-aided engineering(CAE)software and radial basis function(RBF)neural network.The optimization results were verified in production,and products that meet the quality requirements were obtained.
作者
张君
黄瑶
周甫芝
王雷刚
Zhang Jun;Huang Yao;Zhou Fuzhi;Wang Leigang(School of Materials Science and Engineering,Jiangsu University,Zhenjiang,Jiangsu,212013;Danyang Kaixin Precision Mould Co.,Ltd.,Zhenjiang,Jiangsu,212132)
出处
《现代塑料加工应用》
CAS
2023年第3期48-51,共4页
Modern Plastics Processing and Applications
关键词
厚壁塑件
正交试验
径向基函数神经网络
工艺优化
thick-wall plastic part
orthogonal test
radial basis function neural network
process optimization
