[ Article ]

Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 27, No. 1, pp.35-40

ISSN: 2508-5107 (Online)

Print publication date 15 Feb 2018

Received 11 Sep 2017 Revised 14 Dec 2017 Accepted 09 Jan 2018

DOI: https://doi.org/10.7735/ksmte.2018.27.1.35

비전머신 방법을 이용한 너트의 풀림 감지 시스템 연구

이석용^a ; 강호성^a ; 차민철^a ; 김도엽^a ; 박용근^a ; 정희종^b ; 이응석^a^{, *}

A Study of Nut Loosening Inspection System using a Vision Machine Method

Suk Yong Lee^a ; Ho Sung Kang^a ; Min Chul Cha^a ; Do Yeop Kim^a ; Yong Geun Park^a ; Hui Jong Jeong^b ; Eung Suk Lee^a^{, *}

aDepartment of Mechanical Engineering, Chungbuk National University, 1, Chungdae-ro, Seowon-Gu, Cheongju, Chungbuk-do, 28644, Korea
bViblock Company, 46, Osongsaengmyeong-ro, Heungdeok-gu, Cheongju, Chungbuk-do, 28162, Korea

Correspondence to: ^*Tel.: +82-43-266-8789, Fax: +82-43-261-2441, E-mail address: eungsuk@chungbuk.ac.kr (Eung Suk Lee).

Abstract

Nuts and bolts are the most commonly used fasteners for parts. However, the combined nut is loosened by wear and tear over time, harsh vibrations, or impact. Loosening of the nut inevitably leads to shorter machine life. This study uses a stroboscope which synchronizes with the machine rotating rpm to obtain a clear machine vision image of the nut loosening process, thereby it’s facilitating the measurement of the loosening angle of the nut. The loosening process is tested using NAS3350 vibration test equipment. This results will be useful to analyze the nut loosening process. Ultimately, this study is aimed toward the development of a more resilient nut that is resistant to vibration and torque.

Keywords:

Vision machine, Locking nut, Median filter, Vibration test, Image preprocess

References

Cheong, K. Y., Park, T. W., Jung, S. P., Chung, W. S., 2010, Structure Optimization of a Nut for Prevention of Bolt Loosening, Trans, Korean Soc. Mech. Eng. A, 34:8 , 965-970. [https://doi.org/10.3795/KSME-A.2010.34.8.965]
NASA, “NAS(National Aerospace Standard)3350 Manual,” 2015, Standards Industry 3. Requirements, 3.4.2.9.
Jun, Y. I., Park, S. Y., Suk, W. C., Sue, J. C., 2011, Propeller Cavitation Observation Method, Proceeding of the Annual Autumn Meeting, Mokpo, Korea, 3-4 November, 388~393.
Lee, E. J., Son, Y. S., Kim, S. J., 2002, Vehicle Classification and Recognition Algorithm Using Image Processing Technique, Research Center for Information Engineering Technology, 1, 186~192.
Jeong, J. G., 1998, Real-Time 2-D Median Filter, The Journal of engineering, 1:1, 57~68.
Jung, S.P., Park, T.W., Chung, W.S., Song, H.. S., 2009, Optimum Design of the Shape of theSpring for a Loose-proof Lock Nut, Proceedings of the KSPE Spring Conference, 149~150.
B.radski, G., Kaehler, A., 2008, Learning OpenCV: Computer Vision with the OpenCV Library O'REILLY, North Sebastopol, Sebastopol.
Kang, D. J., Ha, J. E., 2008, Digital Image Processing Using Visual C++, SciTech, Gyeonggi, Korea, 246~259.