Acoustic Emission Diagnostics of Freight Car Bogie Cast Pieces

Степанова, Л. Н.; Kabanov, S. I.; Lebedev, E. Yu.

doi:10.1016/j.trpro.2022.01.089

Cited by 1 publication

(1 citation statement)

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“…Regarding the parts of the rolling stock, AE testing exhibits high efficiency in detection and monitoring fatigue cracks in full-scale railway axles [ 22 , 23 , 24 ]. AE technique, combined with an automated loading system, has also been successfully applied to fatigue crack detection in molded pieces of rolling stock, such as the side frame and bolster of railway bogies [ 25 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

Combined Acoustic Emission and Digital Image Correlation for Early Detection and Measurement of Fatigue Cracks in Rails and Train Parts under Dynamic Loading

Мачихин

Poroykov

Bardakov

et al. 2022

Sensors

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Fatigue crack in rails and cyclic-loaded train parts is a contributory factor in multiple railroad accidents. We address the problem of crack detection and measurement at early stages, when total failure has not yet occurred. We propose to combine acoustic emission (AE) testing for prediction of crack growth with digital image correlation (DIC) for its accurate quantitative characterization. In this study, we imitated fatigue crack appearance and growth in samples of railway rail and two train parts by cyclic loading, and applied these two techniques for inspection. Experimental results clearly indicate the efficiency of AE in the early detection of fatigue cracks, and excellent DIC capabilities in terms of geometrical measurements. Combination of these techniques reveals a promising basis for real-time and non-destructive monitoring of rails and train parts.

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Section: Introductionmentioning

confidence: 99%