The Use of Acoustic Emission and Neural Network in the Study of Phase Transformation below MS
Autor: | Andrzej Trafarski, Tadeusz Z. Wozniak, S. Marciniak, Malgorzata Łazarska, Zbigniew Ranachowski |
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Rok vydání: | 2021 |
Předmět: |
austempering
Materials science Bainite Thermodynamics 02 engineering and technology lcsh:Technology 01 natural sciences Article Isothermal process 0103 physical sciences General Materials Science lcsh:Microscopy lcsh:QC120-168.85 010302 applied physics Austenite lcsh:QH201-278.5 lcsh:T bainite acoustic emission neural networks dilatometry 021001 nanoscience & nanotechnology Isothermal transformation diagram Acoustic emission lcsh:TA1-2040 Martensite Hardening (metallurgy) lcsh:Descriptive and experimental mechanics lcsh:Electrical engineering. Electronics. Nuclear engineering lcsh:Engineering (General). Civil engineering (General) 0210 nano-technology lcsh:TK1-9971 Austempering |
Zdroj: | Materials; Volume 14; Issue 3; Pages: 551 Materials, Vol 14, Iss 551, p 551 (2021) Materials |
ISSN: | 1996-1944 |
DOI: | 10.3390/ma14030551 |
Popis: | Acoustic emission and dilatometry were applied to investigate the characteristics of phase transformations in bearing steel 100CrMnSi6-4 during austempering below the martensite start temperature (MS 175 °C) at 150 °C. The aim of this study is to characterize the product of transformation occurring below the MS temperature using various research methods. Analysis of the dilatometric curves shows that, after the formation of athermal martensite below the MS temperature, the austenite continues to undergo isothermal transformation, indicating the formation of bainite. Additionally, tests were carried out with the use of acoustic emission during isothermal hardening of the adopted steel. The obtained acoustic emission signals were analyzed using an artificial neural network. The results, in the form of a graph of the frequency of acoustic emission (AE) event occurrence as a function of time, make it possible to infer about the bainite isothermal transformation. The results of this research may be used in the future to design optimal heat treatment methods and, consequently, may enable desired microstructure shaping. |
Databáze: | OpenAIRE |
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