Enhanced Reliability of Mold Close and Open Control in Injection Molding Machine through Fuzzy Algorithm

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Abstract:

Injection Molding Machine (IMM) has been widely used for the mass production of a plastic product. With the development of the relative technique, various injection molding techniques have been developed and we could get more precise plastic product. In this paper, we present the system reliability of an IMM subject to a controller. The controller of an IMM is an important factor in the injection molding and this controller has direct influence on the quality of a plastic product. Presently, the mold close and open control method of a toggle type IMM is openloop control. Open-loop method is difficult to control when they affect highly nonlinear characteristic in an IMM. Therefore, we propose an alternate approach to implement the controller using closed-loop control method to enhance the reliability. Through the development, fuzzy control algorithm is selected and it is programmed by an IL(Instruction List) and a LD(Ladder Diagram) on a PC based PLC. For the development of an IMM controller, PC based PLC of PCI card type, distributed I/O modules with CANopen, Industrial PC and HMI(Human Machine Interface) software are used.

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Periodical:

Solid State Phenomena (Volume 120)

Pages:

175-180

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Online since:

February 2007

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[1] K.U. Yang, I.Y. Lee, A modeling of proportional pressure control valve and its control, Journal of KSPSE, Vol. 6, No. 3, pp.71-77, (2002).

Google Scholar

[2] Havlicsek, H., Alleyne, A., Nonlinear Control of an Electrohydraulic Injection Molding Machine via Iterative Adaptive Learning, IEEE/ASME TRANSACTION ON MECHATRONICS Vol. 4 No. 3, (1999).

DOI: 10.1109/3516.789689

Google Scholar

[3] Soon-Yong Chun, Design of Fuzzy-Power Controller for a Pump with Electric Proportional Valve, Automation and Systems Engineering, Vol. 4, No. 4, (1998).

Google Scholar

[4] Man-Hoon Ha, Basic oil pressure theory for worker, Gijeon Publicher, (1995).

Google Scholar

[5] Jeong-Nam Byun, Fuzzy logic control, Hongpub, (1997).

Google Scholar

[6] Lefteri H. Tsoukalas, Robert E. Uhrig, Fuzzy and Neural Approaches in Engineering, JOHN WILEY & SONS INC, (1997).

Google Scholar

[7] S. Chae, Y.S. Oh, Fuzzy Theory and Control, Cheong Moon Gak Publishers, (2000).

Google Scholar

[8] S.K. Oh, FUZZY MODEL & CONTROL SYSTEM, Naeha Publishing, (2002).

Google Scholar

[9] Jong-Jin Park, Kyu-Suk Choi, Fuzzy control system, Kyowoo Publishing, (2001).

Google Scholar