DOI QR코드

DOI QR Code

The Development of Automatic Inspection System of Differential Driver Gear through Research Convergence of Industrial and Academia

산학 융합 연구를 통한 차동 기어 자동 검사 시스템의 개발

  • 이정익 (인하공업전문대학 기계설계과)
  • Received : 2018.07.31
  • Accepted : 2018.10.20
  • Published : 2018.10.28

Abstract

The purpose of this study is to develop an automatic inspection system for a part of the differential drive gear into the transmission. This technology will make using the microvision automatic test equipment and automatic test equipment microlaser. This is that the operator intends to make the defect rate 0 in the inspection stage of the product which has been carelessly processed. The equipment developed in this research project will be applied to many areas. Packaging companies, nut bolt processing company, precisely supplier for printing on top of the semiconductor, SMT, etc. The company wants to sell the vision inspection equipment for various applications. If the defective rate of 0 is achieved through this research project, it is also possible to secure a stable supply from the parent company, and to lay the foundations for exporting based on product reliability. When the automatic inspection system is applied to domestic automobile parts processing companies, the reliability of automobiles in Korea will be greatly increased.

본 연구는 트랜스미션에 들어가는 부품인 차동기어에 대한 자동 검사 장비를 개발하고자 하는 것이다. 본 기술개발은 Micro Vision 자동 검사 장비와 마이크로레이저 자동 검사 장비를 사용하여 만들 것이다. 이는 작업자가 부주의하게 가공한 제품을 전수검사 단계에서 불량률 0를 만들고자 한다. 본 연구를 통해 개발된 장비를 여러 분야 사업에 적용할 것이다. 포장회사, 너트 볼트 가공업체, 정밀 반도체 상단에 인쇄를 위한 업체, SMT 업체 등 다양한 분야에 비전검사 장비를 판매하고자 한다. 본 기술개발을 통해 불량률 0를 실현하면 모기업으로부터 안정적 물량 확보, 나아가 제품 신뢰도를 바탕으로 수출을 할 수 있는 기반마련의 기회도 가능하다. 자동검사시스템을 국내 자동차 부품 가공업체에 적용할 경우 우리나라 자동차의 신뢰도 또한 크게 상승 할 것으로 생각된다.

Keywords

References

  1. Y. S. Jung & K. H. Park. (2014). O-ring Size Measurement Based on a Small Machine Vision Inspection Equipment, Journal of the Korea Industrial Information, 19(4), 41-51.
  2. S. B. Lee, T. H. Park & K. S. Han. (2014). Development of Machine Vision System based on PLC. Journal of Institute of Control, Robotics and Systems, 20(7), 741-749. https://doi.org/10.5302/J.ICROS.2014.13.1969
  3. J. S. Ko, X. B. Mu & J. Y. Rheem. (2014). Implementation of Line Scan Camera based Training Equipment for Technical Training of Automated Visual Inspection System. Journal of Practical Engineering Education, 6(1), 37-42. https://doi.org/10.14702/JPEE.2014.037
  4. Y. J. Park. (2014). Using High Brightness LED Light Source Controller for Machine Vision. Journal of Digital Convergence, 12(4), 311-318. https://doi.org/10.14400/JDC.2014.12.4.311
  5. T. S. Jeong. (2016). The Suggestion for Successful Factory Converging Automation by Reviewing Smart Factories in German. Journal of the Korea Convergence Society, 7(1), 189-196. https://doi.org/10.15207/JKCS.2016.7.1.189
  6. H. H. Lee & C. S. Leem. (2018). SWOT Analysis for Small and Medium Enterprise in Smart Factory introduction. Journal of the Korea Convergence Society, 9(3), 1-14. https://doi.org/10.15207/JKCS.2018.9.3.001
  7. J. P. Lee, J. W. Lee & K. H. Lee. (2016). A Scheme of Security Drone Convergence Service using Cam-Shift Algorithm. Journal of the Korea Convergence Society, 7(5), 29-34. https://doi.org/10.15207/JKCS.2016.7.5.029
  8. Y. K. Lee & H. S. Yang. (2016). A Study for Secure the Reliability of Automated Warehouse System. Journal of the Society of Digital Policy & Management, 14(10), 253-259.
  9. B. C. Kim. (2016). The ICT convergence agriculture automated machines designed for smart agriculture. Journal of the Society of Digital Policy & Management, 14(2), 141-148.
  10. S. H. Kim & J. S. Han. (2014). Smart Cold-Chain Monitoring Automation System Architecture based on Internet of Things. Journal of the Society of Digital Policy & Management, 14(2), 141-148.
  11. J. S. Han & G. J. Kim. (2016). Calibration System Development for Multi-Image. Journal of the Society of Digital Policy & Management, 14(8), 305-311.
  12. J. H. Hyeon, Y. H. Moon & S. W. Ha. (2018). Development of Automation Software for Corner Radius Analysis of Composite Laminated Structure. Journal of Convergence for Information Technology, 8(3), 107-114. https://doi.org/10.22156/CS4SMB.2018.8.3.107
  13. Y. S. Jeong. (2018). Linking Algorithm between IoT devices for smart factory environment of SMEs. Journal of Convergence for Information Technology, 8(2), 233-238. https://doi.org/10.22156/CS4SMB.2018.8.2.233
  14. J. H. Park & K. J. Lee. (2017). Realization of user-centered smart factory system using motion recognition. Journal of Convergence for Information Technology, 7(6), 153-158. https://doi.org/10.22156/CS4SMB.2017.7.6.153
  15. K. C. Kim. (2017). Development of Shading Tape for Manufacturing of Touch Panel Display with High Screen-to-Body Ratio. Journal of Convergence for Information Technology, 7(4), 75-81. https://doi.org/10.22156/CS4SMB.2017.7.4.075