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

页码：380 / 385

页数：6

共 52 条

[1]

Boistad L L, 1961, U.S. Pat, Patent No. [US29,797,73A, 79773A]

[2] Fluorescence monitoring of polymer infection molding: Model development [J].

Bur, AJ ;

Thomas, CL .

POLYMER ENGINEERING AND SCIENCE, 1997, 37 (09) :1430-1441

[3] Real-time recurrent learning neural network for stream-flow forecasting [J].

Chang, FJ ;

Chang, LC ;

Huang, HL .

HYDROLOGICAL PROCESSES, 2002, 16 (13) :2577-2588

[4] Dynamic mold surface temperature control using induction heating and its effects on the surface appearance of weld line [J].

Chen, Shia-Chung ;

Jong, Wen-Ren ;

Chang, Jen-An .

JOURNAL OF APPLIED POLYMER SCIENCE, 2006, 101 (02) :1174-1180

[5] General frameworks for optimization of plastic injection molding process parameters [J].

Dang, Xuan-Phuong .

SIMULATION MODELLING PRACTICE AND THEORY, 2014, 41 :15-27

[6] Design and optimisation of conformal cooling channels in injection moulding tools [J].

Dimla, DE ;

Camilotto, M ;

Miani, F .

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2005, 164 :1294-1300

[7] AN EXPERIMENTAL AND THEORETICAL INVESTIGATION OF TRANSIENT MELT TEMPERATURE DURING INJECTION-MOLDING [J].

DONTULA, N ;

SUKANEK, PC ;

DEVANATHAN, H ;

CAMPBELL, GA .

POLYMER ENGINEERING AND SCIENCE, 1991, 31 (23) :1674-1683

[8] An investigation on the application of predictive control for controlling screw position and velocity on an injection molding machine [J].

Dubay, Rickey ;

Pramujati, Bambang ;

Han, Jianguo ;

Strohmaier, Franz .

POLYMER ENGINEERING AND SCIENCE, 2007, 47 (04) :390-399

[9] Near infrared spectroscopy for in-line monitoring during injection moulding [J].

Dumitrescu, OR ;

Baker, DC ;

Foster, GM ;

Evans, KE .

POLYMER TESTING, 2005, 24 (03) :367-375

[10] Real-time measurement of flow front kinematics using quantitative visualization in injection molding process [J].

Fathi, S. ;

Behravesh, A. H. .

POLYMER ENGINEERING AND SCIENCE, 2008, 48 (03) :598-605

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