2021
DOI: 10.3390/ma14030551
|View full text |Cite
|
Sign up to set email alerts
|

The Use of Acoustic Emission and Neural Network in the Study of Phase Transformation below MS

Abstract: 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 isothe… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
2
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(4 citation statements)
references
References 21 publications
0
2
0
Order By: Relevance
“…Acoustic emission signals can be recorded and analysed during the phase transformations of carbon steel [ 13 ]. AE is a suitable tool for the design of the optimal heat treatment and microstructure shaping [ 11 , 14 ]. The physical basis of the acoustic emission event during phase transformations lies in the deformation processes and the structural transformations [ 15 ].…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Acoustic emission signals can be recorded and analysed during the phase transformations of carbon steel [ 13 ]. AE is a suitable tool for the design of the optimal heat treatment and microstructure shaping [ 11 , 14 ]. The physical basis of the acoustic emission event during phase transformations lies in the deformation processes and the structural transformations [ 15 ].…”
Section: Resultsmentioning
confidence: 99%
“…Barkhausen noise is caused by internal stress fields and depends on the steel microstructure [ 10 ]. The author [ 11 ] states that the frequency of 20–900 kHz was used for the AE probe and the converter sampling frequency of 1.2 MHz was used for the analysis of phase transformations below Ms. On the basis of previous experience and according to the research processing issue, it is possible to predict the development and research focused on austenitisation criteria.…”
Section: Introductionmentioning
confidence: 99%
“…Then, based on the information about the phase transformations taking place in the tested material, the AE signals were assigned to specific phase transformations. Acoustic emission offers us new opportunities to track changes in the material during thermal processes [10,[29][30][31][32]. This method also creates the possibility of obtaining the correlation of recorded EA signals with the microstructure [30].…”
Section: Methodsmentioning
confidence: 99%
“…During phase transformations, acoustic effects are generated as a result of dynamic triggering of cumulated energy. Due to the non-invasive method of measuring acoustic emission, it is possible to monitor transformation processes in steel [8][9][10][11]. As a result of changes in the tested object, elastic waves are propagated.…”
Section: Introductionmentioning
confidence: 99%