A Real-Time Process Optimization System for Injection Molding

被引：22

作者：

Li, Dequn ^{[1
]}

Zhou, Huamin ^{[1
]}

Zhao, Peng ^{[1
]}

Li, Yang ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, State Key Lab Mold & Die Technol, Wuhan 430074, Hubei, Peoples R China

来源：

POLYMER ENGINEERING AND SCIENCE | 2009年 / 49卷 / 10期

基金：

高等学校博士学科点专项科研基金;

关键词：

IN-PROCESS; SIMULATION; PREDICTION; MODEL;

D O I：

10.1002/pen.21444

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

The proposed real-time intelligent model for the injection molding process control consists of the initial parameters setting and online defects correction. First, preliminary optimization based on a simplified simulation model is used for the initial setting. This simplified model adopts a geometric approximation of the original part by a rectangular edge-gated plate. Then, the molding trial will be run on the molding machine by using the initial process parameters. And a fuzzy inference model based on expert knowledge is developed for correcting defects during the molding trial. This defects correction procedure will be repeated until the part quality is found satisfactory. A corresponding intelligent system has been developed that is integrated with the injection machine by communicating with the controller. The system can be used to optimize process parameters real time. Experimental studies have been carried out for verification. POLYM. ENG. SCI., 49:2031-2040, 2009. (C) 2009 Society of Plastics Engineers

引用

页码：2031 / 2040

页数：10

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