Monitoring and control for thermoplastics injection molding A review

被引:45
作者
Ogorodnyk, Olga [1 ]
Martinsen, Kristian [1 ]
机构
[1] NTNU Gjovik, Dept Mfg & Civil Engn, Teknol Vegen 22, N-2815 Gjovik, Norway
来源
11TH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING | 2018年 / 67卷
关键词
Injection molding; Artificial intelligence methods; Intelligent process monitoring and control; Intelligent heat management; CONFORMAL COOLING CHANNELS; CAVITY-FILLING PROCESS; TEMPERATURE CONTROL; IN-LINE; DESIGN; SYSTEM; VISUALIZATION; OPTIMIZATION; TECHNOLOGY; TRANSDUCER;
D O I
10.1016/j.procir.2017.12.229
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Thermoplastics injection molding has found increasing use in several industry sectors. To achieve high effectivity of the process and desirable quality of the manufactured product, correct and precise parameters' setting is critically important. As injection molding is a sophisticated process it is often hard to take care of all the changes occurring during its application. However, implementation of artificial intelligence (AI) methods in control and monitoring systems of injection molding machines can increase controllability and additivity of the process. This paper gives an overview of different studies related to research on the topic of monitoring and control systems for injection molding and explains why application of AI methods would be beneficial. (C) 2017 The Authors. Published by Elsevier B.V.
引用
收藏
页码:380 / 385
页数:6
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