顾及随机模糊测度的复合材料注塑工艺优化  

Optimization of Composite Injection Molding Process Considering Random Fuzzy Measure

作　　者：胡云[1] 赵洪图 Hu Yun;Zhao Hongtu(School of Mechanical and Electrical Engineering,Changzhou College of Information Technology,Changzhou 213164,China;Harbin Jiancheng North Special Auto Co.Ltd.,Harbin 150030,China)

机构地区：[1]常州信息职业技术学院机电工程学院,江苏常州213164 [2]哈尔滨建成北方专用车有限公司,黑龙江哈尔滨150030

出　　处：《塑料科技》2019年第10期92-95,共4页Plastics Science and Technology

摘　　要：提出了一种结合随机模糊测度(RFM)的优化注塑成型工艺的方法。该方法开发了随机模糊测度模型,在注塑成型部件中,用于绘制过程条件和质量指标之间复杂的非线性关系。结果表明:这种结合随机模糊测度方法是注塑成型过程优化的有效工具。This paper presents a method of optimizing injection moulding process by combining random fuzzy measure(RFM).The method developed a stochastic fuzzy measure model to plot the complex nonlinear relationship between process conditions and quality indexes in injection moulding parts.The results show that this method combined with random fuzzy measure is an effective tool for optimizing injection molding process.

关 键 词：注塑成型 数值模拟 优化 随机模糊测度 复合材料 

分 类 号：TP391.97[自动化与计算机技术—计算机应用技术]