Deformation behaviour of TWIP steels: Constitutive modelling informed by local and integral experimental methods used in concert

Martin, Stefan; Weidner, Anja; Ullrich, C.; Schimpf, Christian; Motylenko, Mykhaylo; Lehnert, Robert; Biermann, Horst; Rafaja, David; Vinogradov, Alexei; Estrin, Yuri

doi:10.1016/j.matchar.2021.111667

Cited by 11 publications

(1 citation statement)

References 111 publications

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“…54) The proposed model provides a logical connection between this commonly observed AE behaviour and the evolution of the dislocation structure. 40) The initial sharp decrease in magnitude of f m at the outset of yielding has also been systematically observed in various polycrystalline metals and alloys, including Cu and Al, 40) as well as TWIP and TRIP steels 8,55) and Cu-Zn alloys. 41,52) This observation is consistent with the present model too.…”

Section: Experimental Results and Model Verificationmentioning

confidence: 80%

Towards Predicting Necking Instability in Metals by Acoustic Emission Model Analysis

Vinogradov,

Danyuk,

Yasnikov

2024

Mater. Trans.

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We have enhanced a basic single-variable dislocation evolution modelling framework to encompass the acoustic emission (AE) characteristics observed in metals and alloys during the homogeneous strain hardening stage up to the point of macroscopic necking instability under tensile stress. To validate our proposed modelling approach, we conducted comprehensive experiments using pure Ag, Cu, Al, and Ni, representing fcc metals with stacking fault energies increasing in the listed order of materials. Our model successfully captures both previously established and newly discovered patterns in the evolution of the AE spectral density. A key focus of this research is to demonstrate the ability to directly derive the critical parameter that governs the evolution of dislocations and, consequently, overall strain hardening, namely the rate of dynamic dislocation recovery, directly from AE measurements. As a prime result, we can predict the conditions leading to necking, specifically the necking strain, well in advance solely from AE data.

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Section: Experimental Results and Model Verificationmentioning

confidence: 80%

Towards Predicting Necking Instability in Metals by Acoustic Emission Model Analysis

Vinogradov,

Danyuk,

Yasnikov

2024

Mater. Trans.

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Complementary In Situ Characterization of Superelasticity in Fe–Mn–Al–Ni–Ti Shape Memory Alloys by Acoustic Emission, Digital Image Correlation and Infrared Thermography

Müller,

Lehnert,

Motylenko

et al. 2024

Shap. Mem. Superelasticity

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Coupled in situ investigations were conducted on a Fe–Mn–Al–Ni–Ti single crystal deformed in compression and two Fe–Mn–Al–Ni–Ti oligo-crystals deformed in tension. Acoustic emission measurements were employed to monitor the degradation of superelasticity and the stabilization of martensite due to dislocation processes. These observations were corroborated by the application of digital image correlation and infrared thermography measurements. A poor strain reversibility and a premature plastification of the parent phase were observed in case of the single crystal due to an unfavourable crystal orientation. A contradictory transformation behaviour of the two oligo-crystals was observed, with one specimen showing a promising strain reversibility and characterisitic signs of degradation, and the other specimen exhibiting a limited strain reversibility due to an unusual confinement of the martensitic phase transformation to an unfavourably oriented grain. In the former case, an increase in the dislocation density within five cycles was detected through a shift of the acoustic signals’ median frequencies. In the latter case, a strong coupling between martensite nucleation and dislocation generation led to a pronounced martensite stabilization after one loading cycle. For all specimens, temporal sequence effects related to the coupling of martensite nucleation and dislocation generation were detected by means of acoustic emission.

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Constitutive modeling of cellular-structured metals produced by additive manufacturing

et al. 2022

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Deformation behaviour of TWIP steels: Constitutive modelling informed by local and integral experimental methods used in concert

Cited by 11 publications

References 111 publications

Towards Predicting Necking Instability in Metals by Acoustic Emission Model Analysis

Towards Predicting Necking Instability in Metals by Acoustic Emission Model Analysis

Complementary In Situ Characterization of Superelasticity in Fe–Mn–Al–Ni–Ti Shape Memory Alloys by Acoustic Emission, Digital Image Correlation and Infrared Thermography

Constitutive modeling of cellular-structured metals produced by additive manufacturing

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