journal article·2014-11

The development of a defect-rejection procedure for multiple-pass welding by the distribution of the principal parameters of acoustic-emission signals

L. N. Stepanova, I. S. Ramazanov, V. V. Kireenko

Publisher page

Abstract

During quality control of welding, rejection levels were determined using the comparison of the distribution of the parameters of acoustic-emission (AE) signals with introduced defects represented by titanium and tungsten inserts. The MARSE energy parameter, the mean number of oscillation along the leading edge of an AE signal, and the two-interval coefficient were used as the principal informative parameters that are most sensitive to welding defects. The Student-t and Kolmogorov-Smirnov criteria with the calculation of rejection levels and their localization allow the location of defects in the course of multiple-pass welding.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Engineering and Environmental Studies · Industrial Engineering and Technologies · Material Properties and Failure Mechanisms

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (10)

Show source-provided references
1. Nedoseka, A.Ya., Osnovy rascheta i diagnostiki svarnykh konstruktsii (Principles of Calculation and Diagnostics of Weld Constructions), Paton, B.E., Ed., Kyiv: INDPROM, 2008.
2. Stepanova, L.N., Kabanov, S.I., Lebedev, E.Yu., Kireenko, V.V., Vonsovskii, A.V., and Ramazanov, I.S., Acoustic emission defects testing during multiple-pass shipbuilding steel samples welding, Kontrol’. Diagn., 2013, no. 12, pp. 74–80.
3. Ser’eznov, A.N., Stepanova, L.N., and Murav’ev, V.V., Diagnostika ob”ektov transporta metodom akusticheskoi emissii (Diagnostics of Transport Objects by Acoustic Emission Method), Stepanova, L.N. and Murav’ev, V.V., Eds., Moscow: Mashinostroenie-Polet, 2004.
4. Stepanova, L.N., Kanifadin, K.V., Ramazanov, I.S., and Kabanov, S.I., Development of the technique of clustering by acoustic emission signal parameters, Russ. J. Nondestr. Test., 2010, vol. 46, pp. 137–147.10.1134/S1061830910020087 ↗
5. Stepanova, L.N., Ramazanov, I.S., Kabanov, S.I., Lebedev, E.Yu., and Kanifadin, K.V., Clustering of sources of acoustic-emission signals by the leading-edge rise rate, Russ. J. Nondestr. Test., 2009, vol. 45, pp. 685–693.10.1134/S1061830909100039 ↗
6. Stepanova, L.N., Ramazanov, I.S., and Kanifadin, K.V., Estimation of time-of-arrival errors of acoustic-emission signals by the threshold method, Russ. J. Nondestr. Test., 2009, vol. 45, pp. 69–78.
7. Pugachev, V.S., Teoriya veroyatnostei i matematicheskaya statistika: Ucheb. posobie (Probability Theory and Mathematical Statistics: Handbook), Moscow: Fizmatlit, 2002.
8. Khoroshavina, S.G., Estimation of the quality of composition materials using statistical treatment of acoustic emission signals, Kontrol’. Diagn., 1999, no. 9, pp. 34–38.
9. Tripalin, A.S. and Builo, S.I., Akusticheskaya emissiya. Fiziko-mekhanicheskie aspekty (Acoustic Emission. Physicomechanical Aspects), Rostov-on-Don: Rostov. Gos. Univ., 1986.
10. Ser’eznov, A.N., Stepanova, L.N., Ivliev, V.V., Kabanov, S.I., and Bekher, S.A., Akustiko-emissionnyi kontrol’ zheleznodorozhnykh konstruktsii (Acoustic Emission Testing of Railroad Constructions), Novosibirsk: Nauka, 2011.