Abstract
The magnetic particle inspection method is to detect the surface of the ferromagnetic material and the subsurface flaw. It can be considered as a combination of two nondestructive inspection methods which are magnetic flux leakage inspection and visual inspection. The visual inspection is performed by the quality control personnel under high-power ultraviolet light. Because of the strong ultraviolet light, this method has caused damage to the eyes of quality control personnel, and the detection results are prone to errors and cause missed inspections. Therefore, this study developed an automated detection system that can be used to replace manual visual inspection. This study uses a self-made aluminum alloy semi-circular tube type cover, diffused light source, high-resolution CMOS industrial cameras and image processing algorithms. The intensity of the ultraviolet light source used in this study was derived from the illumination of the semi-circular tube type light source cover. The best UV light source parameters were available when the bilateral light source was fully open, the light source illumination angle was at 120°, the light source intensity was at level 2, and the filter was used. The average value of the RGB values and the standard deviation of defects on work-piece were analyzed. Experimental results showed that the RGB average values were 38.66, 35.99, and 26.06, respectively, and the maximum standard deviation was G standard deviation of 86.83.
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Ma, T., Sun, Z., Zhang, W., Chen, Q.: A machine vision assisted system for fluorescent magnetic particle inspection of railway wheelsets. In: AIP Conference Proceedings, vol. 1706, p. 150003. AIP Publishing (2016)
Nishimine, T., Tsuyama, O., Tanaka, T., Fujiwara, H.: Automatic magnetic particle testing system for square billets. In: IAS 1995, Conference Record of the 1995 IEEE Industry Applications Conference Thirtieth IAS Annual Meeting, vol. 2, pp. 1585–1590. IEEE (1995)
Lundh, M.: Automatic crack detection in forged metal parts. Technical report no. EX073 (2012)
Luo, J., Tian, Z., Yang, J.: Fluorescent magnetic particle inspection device based on digital image processing. In: Proceeding of the 11th World Congress on Intelligent Control and Automation, pp. 5677–5681. IEEE (2014)
Hao, H., Li, L., Deng, Y.: Vision system using linear CCD cameras in fluorescent magnetic particle inspection of axles of railway wheelsets. In: Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems IV, vol. 5768, pp. 442–449. International Society for Optics and Photonics (2005)
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Hsu, QC., Ni, RH., Ye, JH., Ngo, NV. (2020). Automatic Optical Inspection for Magnetic Particle Detection of Forging Defects. In: Sattler, KU., Nguyen, D., Vu, N., Tien Long, B., Puta, H. (eds) Advances in Engineering Research and Application. ICERA 2019. Lecture Notes in Networks and Systems, vol 104. Springer, Cham. https://doi.org/10.1007/978-3-030-37497-6_17
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DOI: https://doi.org/10.1007/978-3-030-37497-6_17
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