Abstract
Manual visual inspection of the action rod of a rail switch machine is wasteful and incapable of detecting interior faults. As a result, this work describes an image quantitative detection approach for internal action rod flaws based on pulse reflection ultrasonic detection technology. First, the sound field properties are studied using simulation, and the best probe parameters are chosen. The rectangular and round rods’ signals are then acquired using circumferential scanning testing, and image reconstruction of the scanned data is performed based on the energy characteristics. Finally, the 8-neighborhood connection technique is developed to quantitatively assess the interior oblique fractures of the rectangular rod, with a relative length inaccuracy of less than 2.2%. In addition, the energy superposition method and polar image transformation are utilized to quantitatively examine the round rod’s interior hole flaws. The observed internal hole flaws have a relative error of diameter detection of less than 5% and a relative error of depth location in the radial direction of less than 3%.
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This work was supported by Natural Science Research of Jiangsu Higher Education Institutions of China (22KJD140004).
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Jiang, Y., Han, L., Wang, R. et al. Quantitative Detection of Internal Flaws of Action Rod Based on Ultrasonic Technology. Russ J Nondestruct Test 59, 171–181 (2023). https://doi.org/10.1134/S1061830922601039
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DOI: https://doi.org/10.1134/S1061830922601039