10.14489/td.2019.10.pp.004-011

2019, 10 October

DOI: 10.14489/td.2019.10.pp.004-011

Stepanova L. N., Kabanov S. I., Chernova V. V., Kanifadin K. V.
STEEL SAMPLES WELDING DEFECTS DETECTION BY ESTIMATING ENERGY OF CLUSTERS OF ACOUSTIC EMISSION SIGNALS
(pp. 4-11)

Abstract. Acoustic emission (AE) detection of 5005005 mm size St3 steel samples welding defects. The informative parameters of AE signals recorded during welding with inserts of titanium and aluminum inserted into the root of the weld are analyzed. AE-signals recording was performed by welding diagnostic unit with automatically changing “floating” selection threshold. For coordinates of defects estimation clustering was performed by digital form and AE signals parameters. A comparative analysis of the clustering results was performed for each cluster. In this case, the total count of AE signals, their energy, and threshold levels were set, which were determined in accordance with the proposed algorithm. The degree of danger of defects in the weld was monitored by exceeding AE signal energy threshold level. If the AE signal had a second energy peak and when it exceeds the energy selection thresholds, the weld was rejected. It was experimentally shown that the titanium insert was a dangerous defect when the threshold energy level was exceeded, which was detected both with a high total count of AE signals and with a small number of recorded signals. In accordance with the proposed method, when introducing an aluminum insert into the weld, the defect was not considered dangerous.

Keywords: welding, sample, defect, energy, clustering, signal, acoustic emission.

+ - About the Authors Click to collapse

L. N. Stepanova, S. I. Kabanov (Federal State Unitary Enterprise “Siberian Aeronautical Research Institute named after S. A. Chaplygin”, Novosibirsk, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра. , Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.
V. V. Chernova, K. V. Kanifadin (The Siberian Transport University (STU), Novosibirsk, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра. , Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.

+ - References Click to collapse

1. Stepanova L. N. (Ed.), Seryeznov A. N., Kabanov S. I. et al. (2018). Acoustic emission monitoring of welding defects. Novosibirsk: Nauka. [in Russian language]
2. Paton. B. E. (Ed.), Nedoseka A. Ya. (2008). Basics of calculation and diagnostics of welded structures. Kiev: INDPROM. [in Russian language]
3. Stepanova L. N., Chernova V. V., Ramazanov I. S. (2019). Using clustering methods for processing acoustic - emission information. Kontrol'. Diagnostika, (8), pp. 12–21. [in Russian language] DOI: 10.14489/td.2019.08.pp.012-021
4. Stepanova L. N., Chaplygin V. N., Kabanov S. I. et al. (2012). Studying the correlation of the informative parameters of acoustic-emission signals with the destruction processes in specimens with welding flaws. Defektoskopiya, (6), pp. 11 – 21. [in Russian language]
5. Stepanova L. N., Kabanov S. I., Ramazanov I. S. et al. (2014). Welding diagnostic unit application for multi-pass constructions welding quality control. Datchiki i sistemy, (4). pp. 24–29. [in Russian language]
6. Stepanova L. N., Kabanov S. I., Kanifadin K. V. (2012). Method of acoustic emission control of the quality of the weld in the welding process and device for its implementation. Patent No. 2442155. Russian Federation. [in Russian language]
7. Stepanova L. N., Kabanov S. I., Ramazanov I. S. (2015). Method for acoustic emission quality testing of a circular weld in a multi-pass welding process and device for its implementation. Patent No. 2572067. Russian Federation. [in Russian language]

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