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http://dx.doi.org/10.13067/JKIECS.2018.13.6.1243

Design and Implementation of OPC-Based Intelligent Precision Servo Control Power Forming Press System  

Yoo, Nam-Hyun (Dept. of Computer Science & Engineering, KyungNam University)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.13, no.6, 2018 , pp. 1243-1248 More about this Journal
Abstract
Metal Powder Metallurgy is a manufacturing technology that makes unique model parts or a certain type of product by using a hardening phenomenon when a powder of metal or metal oxide is put it into a mold and compression-molded by a press and then heated and sintered at a high temperature. Powder metallurgical press equipment is mainly used to make the parts of automobile, electronic parts and so on, and most of them are manufactured using precise servo motor. The intelligent precision servo control powder molding press system which is designed and implemented in this paper has advantages of lowering the price and maintaining the precision by using the mechanical camshaft for the upper ram part and precisely controlling the lower ram part using the high precision servo system. In addition, OPC-based monitoring and process data collection systems are designed and implemented to provide scalability that can be applied to smart manufacturing management systems that utilize Big Data in the future.
Keywords
Metal Powder Metallurgy; Servo Press System; OPC; Precision Control;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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1 K. Osakada, K. Mori, T. Altan, and P. GrocheY, "Mechanical servo press technology for metal forming," J. of Manufacturing Technology, vol. 60, no. 2, 2011, pp. 651-672.
2 Y. Chai, "Development of heat system for productivity improvement of ball press pushing up equipment," J. of the Korea Institute of Electronic Communication Sciences, vol. 11, no. 11, 2016, pp. 1101-1106.   DOI
3 B. So and S. Shin, "The built of smart factory using sensors and virtual process design," J. of the Korea Institute of Electronic Communication Sciences, vol. 12, no. 6, 2017, pp. 1071-1080.   DOI
4 TTA, Information management of smart factory based on production resources (4M1E) - Part 1 : Reference Model, Seongnam, 2016.
5 J. Ko, "A study on dual system for fault tolerance of PLC," J. of the Korea Institute of Electronic Communication Sciences, vol. 6, no. 3, 2011, pp. 397-404.   DOI
6 W. Mahnke, S. H. Leitner, Mapping of COM OPC to OPC UA. Heidelberg: Springer, 2009.
7 B. Genge, C. Siaterilis, I. N. Fovino, and M. Masera, "A cyber-physical experimentation environment for the security analysis of networked industrial control systems," J. of Computer & Electrical Engineering, vol. 38, no. 5, 2012, pp. 1146-1161.   DOI
8 R. HenBen and M. Schleipen, "Interoperability between OPC UA and AutomationML," In Proc. 8th Int. Conf. on Digital Enterprise Technology, Stuttgart, Germany, 2014, pp. 297-304.
9 M. Schleipen, "OPC UA supporting the automated engineering of production monitoring and control systems," In Proc. IEEE Intl. Conf. on Emerging Technologies and Factory Automation, Hamgurg, Germany, 2008, pp. 640-647.
10 J. Kim, K. Yoon, Y. Ko, G. Kim, and S. Lee, "Automobile parts press mold industry and technology trend," Trends in Metals & Materials Engineering, vol. 27, no. 2, Mar. 2014, pp. 36-37.