Orientation-related twinning and dislocation glide in a cantor high entropy alloy at room and cryogenic temperature studied by in situ TEM straining

Oliveros, Daniela; Frączkiewicz, A.; Dlouhý, A.; Zhang, Chen; Song, Hengxu; Sandfeld, Stefan; Legros, Marc

doi:10.1016/j.matchemphys.2021.124955

Cited by 21 publications

(5 citation statements)

References 33 publications

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“…Their intersection point then is the vertex v i of the three-dimensional dislocation configuration that corresponds to the vertex v i of the two-dimensional one. A similar reconstruction has been done in [31].…”

Section: Methodsmentioning

confidence: 95%

Data-Mining of In-Situ TEM Experiments: Towards Understanding Nanoscale Fracture

Steinberger¹,

Issa²,

Strobl³

et al. 2022

Preprint

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The lifetime and performance of any engineering component, from nanoscale sensors to macroscopic structures, are strongly influenced by fracture processes. Fracture itself is a highly localized event; originating at the atomic scale by bond breaking between individual atoms close to the crack tip. These processes, however, interact with defects such as dislocations or grain boundaries and influence phenomena on much larger length scales, ultimately giving rise to macroscopic behavior and engineering-scale fracture properties. This complex interplay is the fundamental reason why identifying the atomistic structural and energetic processes occurring at a crack tip remains a longstanding and still unsolved challenge. We develop a completely new approach combining quantitative in situ observations of nanoscale deformation processes at a crack tip with three-dimensional reconstruction of the dislocation structure and advanced computational analysis to address fracture initiation in a ductile metal. Our combinatorial approach reveals details of dislocation nucleation, their interaction process, and the local internal stress state, all of which were previously inaccessible to experiments. This enables us to describe fracture processes based on local crack driving forces on a dislocation level, a previously unseen high fidelity that paves the way to better understand and control local failure processes in materials.

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Section: Methodsmentioning

confidence: 95%

Data-Mining of In-Situ TEM Experiments: Towards Understanding Nanoscale Fracture

Steinberger¹,

Issa²,

Strobl³

et al. 2022

Preprint

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“…In-situ TEM straining experiments were performed on a single-phase face-centered, cubic CoCrFeMnNi alloy (also known as "Cantor alloy"). Samples were prepared as electron-transparent, stretchable thin foils following the method described in [11], [12]. Each straining experiment was performed at 96 K using a Gatan 671 straining holder arXiv:2309.03499v1 [cs.CV] 7 Sep 2023 in a JEOL 2010, which was operated at 200 kV.…”

Section: B Data Acquisitionmentioning

confidence: 99%

“…Some sequences are not published and currently being analyzed using, to a certain extent, the presented method, while others were already manually analyzed and published. For more experimental details, we refer to [11]. The ultimate goal of such an approach is to acquire sufficient knowledge about individual and collective dislocation dynamics to understand the macroscopic mechanical behavior of the alloy they move in.…”

Section: B Data Acquisitionmentioning

confidence: 99%

Instance Segmentation of Dislocations in TEM Images

Ruzaeva,

Govind,

Legros

et al. 2023

2023 IEEE 23rd International Conference on Nanotechnology (NANO)

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Quantitative Transmission Electron Microscopy (TEM) during in-situ straining experiment is able to reveal the motion of dislocations -linear defects in the crystal lattice of metals. In the domain of materials science, the knowledge about the location and movement of dislocations is important for creating novel materials with superior properties. A longstanding problem, however, is to identify the position and extract the shape of dislocations, which would ultimately help to create a digital twin of such materials.In this work, we quantitatively compare state-of-the-art instance segmentation methods, including Mask R-CNN and YOLOv8. The dislocation masks as the results of the instance segmentation are converted to mathematical lines, enabling quantitative analysis of dislocation length and geometryimportant information for the domain scientist, which we then propose to include as a novel length-aware quality metric for estimating the network performance. Our segmentation pipeline shows a high accuracy suitable for all domain-specific, further post-processing. Additionally, our physics-based metric turns out to perform much more consistently than typically used pixel-wise metrics.

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“…In-situ TEM straining experiments were carried out on a Cantor alloy processed at Mines Saint-Etienne, France, and prepared as electron-transparent stretchable samples following the method described in the previous work [24].…”

Section: In-situ Tem Straining Experimentsmentioning

confidence: 99%

Data-Mining of In-Situ TEM Experiments: On the Dynamics of Dislocations in CoCrFeMnNi Alloys

et al. 2022

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Orientation-related twinning and dislocation glide in a cantor high entropy alloy at room and cryogenic temperature studied by in situ TEM straining

Cited by 21 publications

References 33 publications

Data-Mining of In-Situ TEM Experiments: Towards Understanding Nanoscale Fracture

Data-Mining of In-Situ TEM Experiments: Towards Understanding Nanoscale Fracture

Instance Segmentation of Dislocations in TEM Images

Data-Mining of In-Situ TEM Experiments: On the Dynamics of Dislocations in CoCrFeMnNi Alloys

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