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Identification of Phase Transformations in Alloy and Non-Alloy Steel During Austempering Using Acoustic Emission and Neural Network

  • Małgorzata Łazarska
  • , Zbigniew Ranachowski
  • , Janusz Musiał
  • , Tomasz Tański
  • , Qingshan Jiang
  • Kazimierz Wielki University
  • Institute of Fundamental Technological Research of the Polish Academy of Sciences
  • Jimei University

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

This research was carried out for selected alloy (bearing) and non-alloy (tool) steel. The steels were subjected to austempering. The hardening temperature range was from 100 °C to 180 °C. The use of acoustic emission in connection with the artificial neural network (ANN) enabled the analysis and identification of phase changes occurring in steels during austempering. Classification of acoustic emission events was carried out with the help of their energy values and with the use of an artificial neural network. On this basis, it was observed that in the process of isothermal hardening of steel at the applied temperatures, complex transformations of austenite into martensite and bainite occur. In addition, it was found that the research methods used enabled the identification of signal components originating from the phase transformation causing the formation of thin-plate martensite midrib. The use of acoustic methods in the field of bainitic transformation creates the possibility of their application in the industry.

Original languageEnglish
Article number2198
JournalMaterials
Volume18
Issue number10
DOIs
Publication statusPublished - May 2025

Keywords

  • acoustic emission (AE)
  • austempering
  • bainite
  • martensite
  • neural networks

ASJC Scopus subject areas

  • General Materials Science
  • Condensed Matter Physics

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