Linking acoustic emission signals to deformation mechanisms in magnesium

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388998%3A_____%2F25%3A00642564" target="_blank" >RIV/61388998:_____/25:00642564 - isvavai.cz</a>

Výsledek na webu

<a href="https://journals.aps.org/prmaterials/abstract/10.1103/jxws-jnf7" target="_blank" >https://journals.aps.org/prmaterials/abstract/10.1103/jxws-jnf7</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1103/jxws-jnf7" target="_blank" >10.1103/jxws-jnf7</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Linking acoustic emission signals to deformation mechanisms in magnesium

Popis výsledku v původním jazyce

Nondestructive identification of deformation mechanisms at the microscopic scale is a significant challenge, yet it holds the potential to advance the understanding of damage evolution across many areas of materials mechanics. In this study, we combine spectral analysis of acoustic emission (AE) waveforms with dimensionality reduction to cluster individual AE events occurring during the deformation of a magnesium single crystal. Based on prior knowledge, according to which twinning is preferred at low stresses and slip is expected to become dominant when twinning is exhausted, we link these clusters to their related deformation mechanisms. This enables unsupervised classification of each AE event into the two deformation mechanisms. Furthermore, based on resonance ultrasound spectroscopy and modal calculations, we identify a frequency signature in AE signals, corresponding to one of the sample's resonant modes, and we associate it with slip. This allows us to define a single traceable, physically based classification parameter that performs comparably to the machine learning–based clustering. The results of both classification methods are consistent with each other and align with the expected deformation behavior and the shape of the loading curve. At the same time, they reveal detailed quantitative information at the level of individual AE events, which uncovers the evolution of the transition from twinning-dominant to slip-dominant behavior.

Název v anglickém jazyce

Linking acoustic emission signals to deformation mechanisms in magnesium

Popis výsledku anglicky

Nondestructive identification of deformation mechanisms at the microscopic scale is a significant challenge, yet it holds the potential to advance the understanding of damage evolution across many areas of materials mechanics. In this study, we combine spectral analysis of acoustic emission (AE) waveforms with dimensionality reduction to cluster individual AE events occurring during the deformation of a magnesium single crystal. Based on prior knowledge, according to which twinning is preferred at low stresses and slip is expected to become dominant when twinning is exhausted, we link these clusters to their related deformation mechanisms. This enables unsupervised classification of each AE event into the two deformation mechanisms. Furthermore, based on resonance ultrasound spectroscopy and modal calculations, we identify a frequency signature in AE signals, corresponding to one of the sample's resonant modes, and we associate it with slip. This allows us to define a single traceable, physically based classification parameter that performs comparably to the machine learning–based clustering. The results of both classification methods are consistent with each other and align with the expected deformation behavior and the shape of the loading curve. At the same time, they reveal detailed quantitative information at the level of individual AE events, which uncovers the evolution of the transition from twinning-dominant to slip-dominant behavior.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20501 - Materials engineering

Projekt

<a href="/cs/project/GA24-10366S" target="_blank" >GA24-10366S: Spřažené disipační procesy a deformační mechanizmy v metastabilních titanových slitinách</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Physical Review Materials

ISSN

2475-9953

e-ISSN

2475-9953

Svazek periodika

9

Číslo periodika v rámci svazku

10

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

14

Strana od-do

103805

Kód UT WoS článku

001613255300002

EID výsledku v databázi Scopus

2-s2.0-105022974686