DOI QR코드

DOI QR Code

Implementation of Small Automatic Lubrication Device for Automated Processes in Smart Factory

스마트 공장에서 자동화 공정을 위한 소형 자동 윤활 장치 구현

  • Lee, Yoo-Ri (Dept. of Mechanical Engineering, Pusan National University) ;
  • Kim, Hyeong-Jun (Dept. of Mechanical Engineering, Pusan National University) ;
  • Kim, Man-Ho (Dept. of Automotive Engineering, Dong-Eui Institute of Technology)
  • 이유리 (동의과학대학교 자동차계열) ;
  • 김형준 (동의과학대학교 자동차계열) ;
  • 김만호 (동의과학대학교 자동차계열)
  • Received : 2020.07.18
  • Accepted : 2020.08.17
  • Published : 2020.10.31

Abstract

Automatic lubrication devices are applied in various fields, such as huge machinery, construction machinery or commercial vehicles, to lower maintenance costs and protect the devices. In addition, the automatic lubrication device reduces frequent component failures cause by friction and allows the machine to replace the lubricating oil replenishment work carried out by the manager. However, the automatic lubricating device used in large machinery or commercial vehicles is relatively large, containing a large amount of lubricant in the space to be lubricated. On the other hand, a smart factory, such as a home appliance or cosmetics factory, lacks space to install large automatic lubrication devices, and it is difficult to distribute electricity. Therefore, there is a need for an automatic lubrication device that can be used in various environments that require lubrication. In this paper, a small automatic lubrication device is proposed for smart factories that have changed parts of existing factories, such as electronics factories, to minimize friction arising from mechanical parts, etc. In particular, the structure of lubricating pumps and component parts that are the core of automatic lubrication devices was described so that they could be utilized in various fields. Finally, a test bed environment is established for the proposed automatic lubrication device to evaluate its performance and verify its applicability.

References

  1. World Economic Forum, "The Future of Jobs," (2016).
  2. S. Lee, S. Lee, and M. Kim, "Development of an energy prediction model based on driving data for predicting the driving distance of an electric vehicle," International Journal of Automotive Technology, vol. 20, no. 2, pp. 389-395, (2019). https://doi.org/10.1007/s12239-019-0038-3
  3. S. Kim, S. Chey, and S. Hong, "Development Direction of Advanced Concept Technology Demonstration for the 4th Industrial Revolution," Journal of The Korean Society of Industry Convergence, vol. 22, no. 6, pp. 729-737, (2019). https://doi.org/10.21289/KSIC.2019.22.6.729
  4. J. Sin, and I. Kim, "Smart Factory and 5G based Industrial IoT," The Journal of The Korean Institute of Communication Sciences, vol. 37, no. 7, pp. 20-30, (2020).
  5. H. Cho. "A Study on the Efficiency of Fusion Converged Smart Factories Based on Simulation Integrated Manufacturing(SIM) Reflecting Expert Experiences," The Korean Society of Science & Art, vol 37, no. 1, pp. 321-329, (2019). https://doi.org/10.17548/ksaf.2019.01.30.321
  6. R. Lee, and C. Kim "The E ffects of Smart Factory Technologies on Quality and Innovation Performance in SMEs," Asia-Pacific Journal of Business Venturing and Entrepreneurship, vol. 15, no. 3, pp. 59-71, (2020). https://doi.org/10.16972/apjbve.15.1.202002.59
  7. M. Kim, S. Lee, S. Lee, and K. Lee, "Imple mentation of a small size electric automatic lubrication system for heavy commercial vehicle," Journal of the Korean Society for Precision Engineering, vol. 30, no. 10, pp. 1041-1049, (2013). https://doi.org/10.7736/KSPE.2013.30.10.1041
  8. H. Lee, Y. Kim, J. Yim, Y. Kim, and S. Lee, "Analysis of field conditions and requirements for deploying smart factory," Journal of the Korean Society for Precision Engineering, vol. 34, no. 1, pp. 29-34, (2017). https://doi.org/10.7736/KSPE.2017.34.1.29