The Adaptive Control in the Plastic Injection Molding A new paradigm in Manufactures Process Green Technologies

Main Article Content

Mohammad Hartono Pratikto Pratikto Purnomo Budi Sugiono Sugiono

Abstract

Progress in the manufacturing industry is growing very rapidly. But it had an impact on environmental pollution. One of them is contamination caused by plastic. Plastic contamination is the most severe pollution because plastic elements can not be broken down by decomposer bacteria. This paper discusses the need for an action to minimize pollution caused by plastics. The principle is to use as much as possible recycled plastic to be re-processed into useful plastic products and minimize plastic waste products. With increasingly sophisticated technology in the field of control, adaptive control is a real-time control method for monitoring plastic raw materials to be processed and can instantaneously adjust to the plastic mold control panel that minimizes product defects. Therefore, the use of adaptive controls in the plastic molding process can minimize waste from plastics that are part of the green technology.

Article Details

How to Cite
HARTONO, Mohammad et al. The Adaptive Control in the Plastic Injection Molding. Proceedings of the International Conference on Green Technology, [S.l.], v. 8, n. 1, p. 17-19, nov. 2017. ISSN 2580-7099. Available at: <http://conferences.uin-malang.ac.id/index.php/ICGT/article/view/371>. Date accessed: 26 apr. 2024. doi: https://doi.org/10.18860/icgt.v8i1.371.
Section
Pure and Applied Mathematics

References

REFERENCES
[1] Ministry of Environment, 2015, Indeks Kualitas Lingkungan Hidup Indonesia 2014; p16
[2] Hayden K. Webb, Jaimys Arnott, Russell J. Crawford and Elena P. Ivanova Plastic Degradation and Its Environmental Implications with Special Reference to Poly(ethylene terephthalate), Polymers 2013, 5(1), 1-18; doi:10.3390/polym5010001.
[3] Park, B.Seok, Lee, J.Y., Park, J.B., and Choi, Y.H., 2012, Adaptive Control for Input-Constrained linear Systems, International Journal of Control, Automation, and Systems (2012) 10(5);890-896, DOI 10.1007/s12555-012-0504-4, ISSN:1598-6446 eISSN:2005-4092, published by ICROS, KIEE and Springer 2012.
[4] Dewantoro, Gunawan and Feriyonika, F., 2011, Model Reference Adaptive Control of Cavity Pressure in Injection Molding during Filling and Packing phases, be presented in 2011 2nd International Conference on Instrumentation Control and Automation, 15-17 November 2011, Bandung, Indonesia, published by IEEE.
[5] Ghita, O.R., Baker, D.C., and Evans, K.E., 2008, An in-line near-infrared process control tool for monitoring the effects of speed, temperature, and polymer colour in injection moulding. International Journal of Polymer Testing 27 (2008) 459-469. Published by Elsevier Ltd.
[6] Jabri, K., Godoy, E., Dumur, D., Mouchette, A., and Bele, B.; 2010, Robust Adaptive Control of the Mold Level in the Continous Casting Process Using Multiple Models, be presented on 2010 American Control Conference, Marriot Waterfront, Baltimore, MD, USA June 30-July 02.
[7] Nalla, A.R., Fuqua, Michael, Glancey, James, and Lelievre, Benoit, 2007, A multi-segment injection line and real-time adaptive, model-based controller for vacuum assisted resin transfer molding, International Journal of Composites: Part A 38 (2007) 1058-1069, published by Elsevier Ltd.