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Abstract

The goal of the research was to analyze the acoustic emission signal recorded during heat treatment. On a special stand, samples prepared from 27MnCrB5-2 steel were tested. The steel samples were heated to 950°C and then cooled continuously in the air. Signals from phase changes occurring during cooling were recorded using the system for registering acoustic emission. As a result of the changes, Widmanstätten ferrite and bainite structures were observed under a scanning microscope. The recorded acoustic emission signal was analyzed and assigned to the appropriate phase transformation with the use of artificial neural networks.
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Authors and Affiliations

Andrzej Trafarski
1
Małgorzata Łazarska
1
Zbigniew Ranachowski
2
ORCID: ORCID

  1. Institute of Materials Engineering, Kazimierz Wielki University in Bydgoszcz, ul. J.K. Chodkiewicza 30, 85-064 Bydgoszcz, Poland
  2. Institute of Fundamental Technological Research, Polish Academy of Sciences, ul. Pawińskiego 5B, 02-106 Warsaw, Poland

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