Version 1
: Received: 20 April 2023 / Approved: 20 April 2023 / Online: 20 April 2023 (09:48:46 CEST)
How to cite:
Marchenkov, A.; Vasiliev, I.; Chernov, D.; Zhgut, D.; Pankina, A.; Kovaleva, T.; Kulikova, E. Damage Degree Assessment of Steel Products Based on the Statistical Processing of Acoustic Emission Signal Flow. Preprints2023, 2023040641. https://doi.org/10.20944/preprints202304.0641.v1
Marchenkov, A.; Vasiliev, I.; Chernov, D.; Zhgut, D.; Pankina, A.; Kovaleva, T.; Kulikova, E. Damage Degree Assessment of Steel Products Based on the Statistical Processing of Acoustic Emission Signal Flow. Preprints 2023, 2023040641. https://doi.org/10.20944/preprints202304.0641.v1
Marchenkov, A.; Vasiliev, I.; Chernov, D.; Zhgut, D.; Pankina, A.; Kovaleva, T.; Kulikova, E. Damage Degree Assessment of Steel Products Based on the Statistical Processing of Acoustic Emission Signal Flow. Preprints2023, 2023040641. https://doi.org/10.20944/preprints202304.0641.v1
APA Style
Marchenkov, A., Vasiliev, I., Chernov, D., Zhgut, D., Pankina, A., Kovaleva, T., & Kulikova, E. (2023). Damage Degree Assessment of Steel Products Based on the Statistical Processing of Acoustic Emission Signal Flow. Preprints. https://doi.org/10.20944/preprints202304.0641.v1
Chicago/Turabian Style
Marchenkov, A., Tatiana Kovaleva and Ekaterina Kulikova. 2023 "Damage Degree Assessment of Steel Products Based on the Statistical Processing of Acoustic Emission Signal Flow" Preprints. https://doi.org/10.20944/preprints202304.0641.v1
Abstract
This research is aimed to develop the method for damage degree evaluation in metals and alloys during their deformation and destruction based on acoustic emission (AE) technique. Experimental studies were carried out on tensile specimens of high-strength steel with simultaneous registration of AE signals in tested material. It was shown that the time-dependent AE primary parameters, such as the AE signal maximum amplitudes and AE activity, do not have a clear relationship with the material damage degree. This fact makes it difficult to use standard methods for assessing the damage degree of acoustic signal sources, including defects. It was proposed to use the Kolmogorov-Smirnov criterion to differ the processes of metal plastic deformation and crack propagation during the rupture. The possibility of estimating the material damage degree by high-energy AE hits share was shown. Besides, a particular expression was obtained for evaluating the damage degree for the material under study.
Engineering, Safety, Risk, Reliability and Quality
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.