Abstract
Impact flexure and indentation of metals is considered. A test bench for failure assessment is developed, for the example of steel 45 at low temperatures. In this method, acoustic emission pulses are classified; an artificial neural network is employed. The fractographic data for impact flexure correlate well with the results of pulse recognition.
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Funding
This work was supported by the Russian Science Foundation, grant 19-19-00332 as part of a program on the application of artificial intelligence in damage detection within construction materials, so as to permit safe operation of equipment in the Arctic.
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Translated by B. Gilbert
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Kabaldin, Y.G., Khlybov, A.A., Anosov, M.S. et al. Assessment of the Low-Temperature Strength of Metals by Indentation with Analysis of Acoustic Emission. Russ. Engin. Res. 40, 912–915 (2020). https://doi.org/10.3103/S1068798X20110106
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DOI: https://doi.org/10.3103/S1068798X20110106