The Use of Acoustic Emission and Neural Network in the Study of Phase Transformation below M<sub>S</sub>

The Use of Acoustic Emission and Neural Network in the Study of Phase Transformation below M<sub>S</sub>

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 (M<sub>S</sub> 175 °C) at 150 °C. The aim of this study is to characterize the product of tr...

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Bibliographic Details
Main Authors: Małgorzata Łazarska, Tadeusz Z. Wozniak, Zbigniew Ranachowski, Andrzej Trafarski, Szymon Marciniak
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Materials
Subjects:
bainite
austempering
acoustic emission
neural networks
dilatometry
Online Access:https://www.mdpi.com/1996-1944/14/3/551

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https://www.mdpi.com/1996-1944/14/3/551

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