Advanced SearchSearch Tips
Optimized Digital Proportional Integral Derivative Controller for Heating and Cooling Injection Molding System
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Optimized Digital Proportional Integral Derivative Controller for Heating and Cooling Injection Molding System
Jeong, Byeong-Ho; Kim, Nam-Hoon; Lee, Kang-Yeon;
  PDF(new window)
Proportional integral derivative (PID) control is one of the conventional control strategies. Industrial PID control has many options, tools, and parameters for dealing with the wide spectrum of difficulties and opportunities in manufacturing plants. It has a simple control structure that is easy to understand and relatively easy to tune. Injection mold is warming up to the idea of cycling the tool surface temperature during the molding cycle rather than keeping it constant. This “heating and cooling” process has rapidly gained popularity abroad. However, it has discovered that raising the mold wall temperature above the resin’s glass-transition or crystalline melting temperature during the filling stage is followed by rapid cooling and improved product performance in applications from automotive to packaging to optics. In previous studies, optimization methods were mainly selected on the basis of the subjective experience. Appropriate techniques are necessary to optimize the cooling channels for the injection mold. In this study, a digital signal processor (DSP)-based PID control system is applied to injection molding machines. The main aim of this study is to optimize the control of the proposed structure, including a digital PID control method with a DSP chip in the injection molding machine.
PID controller;Heating and cooling injection mold system;
 Cited by
A Comprehensive Study of Energy Conservation in Electric-Hydraulic Injection-Molding Equipment, Energies, 2017, 10, 11, 1768  crossref(new windwow)
J. Vardi and B. Avi-Itzhak, Electric Energy Generation; Economics, Reliability and Rates, The MIT Press, MA, USA, 1981, p.75.

B. Muñoz-Barron, L. Morales-Velazquez, R. J. Romero-Troncoso, C. Rodriguez-Donate, M. Trejo Hernandez, J. P. Benitez-Rangel and R. A. Osornio-Rios, “FPGA-Based Multiprocessor System for Injection Molding Control,” Sensors, Vol. 12, No. 10, 2012, pp. 14068-14083. crossref(new window)

D. Kazmer and D. Hatch, “Towards controllability of injection molding,” Journal of Materials Processing and Manufacturing Science, Vol. 8, No. 2, 2000, pp. 127-140.

S. J. Huang and T. H. Lee, “Fuzzy logic controller fora retrofitted closed-loop injection molding machine,” Proceedings of the Institution of Mechanical EngineersPart I: Journal of Systems and Control Engineering,Vol. 214, No.1, 2000, pp. 9-22.

W. C. Chen, G. L. Fu, P. H. Tai, W. J. Deng and Y. C. Fan, Proceedings of 2007 International Conference on Machine Learning and Cybernetics, Vol. 4, IEEE, Hong Kong, China, 2007, pp. 1909-1917.

J. M. Du and Y. X. Luo, Proceedings of 2010 2nd International Workshop on Intelligent Systems and Applications (ISA), IEEE, Wuhan, China, 2010, pp. 1-3.

B. Nagarajan, R. R. Sathi and P. Vishnuram, “Power Tracking Control of Domestic Induction Heating System using Pulse Density Modulation Scheme with the Fuzzy Logic Controller”, Journal of Electrical Engineering & Technology, Vol. 9, No. 6, 2014, pp. 1978-1987. crossref(new window)

C.-B. Park, “Thermal Analysis of IPMSM with Water Cooling Jacket for Railway Vehicles”, Journal of Electrical Engineering & Technology, Vol. 9, No. 3, 2014, pp. 882-887. crossref(new window)

C. H. Lu and C. C. Tsai, “Adaptive decoupling predictive temperature control for an extrusion barrel in a plastic injection molding process,” IEEE Transactions on Industrial Electronics, Vol. 48, No. 5, 2001, pp. 968-975. crossref(new window)

J. Benitez-Rangel, M. T. Hernandez, L. Morales-Hernandezand A. Dominguez-Gonzalez, “Improvement of the injection mold process by using vibration through a mold accessory,” Materials and Manufacturing Processes, Vol. 25, Iss. 7, 2010, pp. 577-580. crossref(new window)

D. Gohringer and J. Becker, Proceedings of 2010 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), IEEE, Lixouri, Kefalonia, 2010, pp. 477-478.

S. K. M. Mashhadi, M. Z. Savzevar and J. G. D. Yekan, “Simulation of Temperature Controller for an Injection Mould Machine using Fuzzy Logic,” Journal of mathematics and computer Science, Vol. 7, Iss. 1, 2013, pp. 33-42.

W. M. Chan, L. Yan, W. Xiang and B. T. Cheok, “A 3D CAD knowledge-based assisted injection mould design system,” The International Journal of Advanced Manufacturing Technology, Vol. 22, Iss. 5-6, 2003, pp. 387-395. crossref(new window)

K. S. Lee and J. C. Lin, “Design of the runner and gating system parameters for a multi-cavity injection mould using FEM and neural network,” The International Journal of Advanced Manufacturing Technology, Vol. 27, Iss. 11-12, 2006, pp. 1089-1096. crossref(new window)

Optimal Heater Control in Thermoforming Preheating Using Dual Optimization Steps,” International Journal of Precision Engineering and Manufacturing, Vol. 9, No. 4, 2008, pp. 51-57.

S. C. Chen, W. R. Jong and J. A. Chang, “Dynamic mold surface temperature control using induction heating and its effects on the surface appearance of weld line,” Journal of Applied Polymer Science, Vol. 101, Iss. 2, 2006, pp. 1174-1180. crossref(new window)

D. Pamela and T. Jebarajan, “Intelligent Controller for Temperature Process,” International Journal of Control and Automation, Vol. 6, No. 5, 2013, pp. 191-198.

L. S. Coelho, “Tuning of PID controller for an automatic regulator voltage system using chaotic optimization approach,” Chaos, Solitons & Fractals, Vol. 39, Iss. 4, 2009, pp. 1504-1514. crossref(new window)