Development and evaluation of edge devices for injection molding monitoring

사출성형공정 모니터링용 엣지 디바이스 개발 및 평가

  • Kim, Jong-Sun (RShape Manufacturing R&D Department, Korea Institute of Industrial Technology) ;
  • Lee, Jun-Han (Department of Mechanical Engineering, Dankook University)
  • 김종선 (한국생산기술연구원 형상제조연구부문) ;
  • 이준한 (단국대학교 기계공학과)
  • Received : 2020.11.03
  • Accepted : 2020.12.31
  • Published : 2020.12.31

Abstract

In this study, an edge device that monitors the injection molding process by measuring the mold vibration(acceleration) signal and the mold surface temperature was developed and evaluated its performance. During injection molding, signals of the injection start, V/P switchover, and packing end sections were obtained through the measurement of the mold vibration and the injection time and packing time were calculated by using the difference between the times of the sections. Then, the mold closed and mold open signals were obtained using a magnetic hall sensor, and cycle time was calculated by using the time difference between the mold closed time each process. As a result of evaluating the performance by comparing the process data monitored by the edge device with the shot data recorded on the injection molding machine, the cycle time, injection time, and packing time showed very small error of 0.70±0.38%, 1.40±1.17%, and 0.69±0.82%, respectively, and the values close to the actual were monitored and the accuracy and reliability of the edge device were confirmed. In addition, it was confirmed that the mold surface temperature measured by the edge device was similar to the actual mold surface temperature.

Keywords

Acknowledgement

본 연구는 기획재정부의 중소중견기업생산기술 실용화 및 기술지원 사업(Project No. JF200027)의 지원과 산업통상자원부의 기계산업핵심기술개발사업(Project No. KM200224, 10067766)의 지원으로 진행되었습니다.

References

  1. Mok, S. L., Kwong, C. K., Grasser, F., D'Arrigo, A., and Colombi, S., "Application of artificial neural network and fuzzy logic in a case-based system for initial process parameter setting of injection molding", J. Intell. Manuf., Vol. 13, No. 3, pp. 165-176, 2002. https://doi.org/10.1023/A:1015730705078
  2. Michaeli, W., and Schreiber, A. "Online Control of the Injection Molding Process Based on Process Variables", Adv. Polym. Tech., Vol. 28, No. 2, pp. 65-76, 2002. https://doi.org/10.1002/adv.20153
  3. Chen, J. Y., Yang, K. J., and Huang, S. M., "Online quality monitoring of molten resin in injection molding", Int. J. Heat Mass Transfer, Vol. 122, pp. 681-693, 2018. https://doi.org/10.1016/j.ijheatmasstransfer.2018.02.019
  4. Lee, J. H., and Kim, J. S., "A study on monitoring for process time and process properties by measuring vibration signals transmitted to the mold during injection molding", J. Korea Society of Die & Mold Engineering, Vol. 14, No. 3, pp. 8-16, 2020.
  5. Zhang, Z., Chen, J. C., and Zhu, J., "Development of an in-process, gap-caused flash monitoring system in injection molding processes", Int. J. Adv. Manuf. Technol., Vol. 26, pp. 1237-1245, 2005. https://doi.org/10.1007/s00170-004-2112-9