Extracting information from noisy data: strain mapping during dynamic in situ SEM experiments

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Extracting information from noisy data: strain mapping during dynamic in situ SEM experiments. / Alfreider, Markus; Meindlhumer, Michael; Maier-Kiener, Verena et al.
In: Journal of materials research (JMR), Vol. 36.2021, No. 11, 14.06.2021, p. 2291-2304.

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@article{7c800378be62476d9d3c85a2e4244f3e,
title = "Extracting information from noisy data: strain mapping during dynamic in situ SEM experiments",
abstract = "Micromechanical testing techniques can reveal a variety of characteristics in materials that are otherwise impossible to address. However, unlike to macroscopic testing, these miniaturized experiments are more challenging to realize and analyze, as loading and boundary conditions can often not be controlled to the same extent as in standardized macroscopic tests. Hence, exploiting all possible information from such an experiment seems utmost desirable. In the present work, we utilize dynamic in situ microtensile testing of a nanocrystalline equiatomic CoCrFeMnNi high entropy alloy in conjunction with initial feature tracking to obtain a continuous two-dimensional strain field. This enables an evaluation of true stress–strain data as well as of the Poisson{\textquoteright}s ratio and allows to study localization of plastic deformation for the specimen. We demonstrate that the presented image correlation method allows for an additional gain of information in these sophisticated experiments over commercial tools and can serve as a starting point to study deformation states exhibiting more complex strain fields. Graphic abstract: [Figure not available: see fulltext.].",
author = "Markus Alfreider and Michael Meindlhumer and Verena Maier-Kiener and Anton Hohenwarter and Daniel Kiener",
note = "Publisher Copyright: {\textcopyright} 2021, The Author(s).",
year = "2021",
month = jun,
day = "14",
doi = "10.1557/s43578-020-00041-0",
language = "English",
volume = "36.2021",
pages = "2291--2304",
journal = "Journal of materials research (JMR)",
issn = "0884-2914",
publisher = "Materials Research Society : MRS",
number = "11",

}

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TY - JOUR

T1 - Extracting information from noisy data: strain mapping during dynamic in situ SEM experiments

AU - Alfreider, Markus

AU - Meindlhumer, Michael

AU - Maier-Kiener, Verena

AU - Hohenwarter, Anton

AU - Kiener, Daniel

N1 - Publisher Copyright: © 2021, The Author(s).

PY - 2021/6/14

Y1 - 2021/6/14

N2 - Micromechanical testing techniques can reveal a variety of characteristics in materials that are otherwise impossible to address. However, unlike to macroscopic testing, these miniaturized experiments are more challenging to realize and analyze, as loading and boundary conditions can often not be controlled to the same extent as in standardized macroscopic tests. Hence, exploiting all possible information from such an experiment seems utmost desirable. In the present work, we utilize dynamic in situ microtensile testing of a nanocrystalline equiatomic CoCrFeMnNi high entropy alloy in conjunction with initial feature tracking to obtain a continuous two-dimensional strain field. This enables an evaluation of true stress–strain data as well as of the Poisson’s ratio and allows to study localization of plastic deformation for the specimen. We demonstrate that the presented image correlation method allows for an additional gain of information in these sophisticated experiments over commercial tools and can serve as a starting point to study deformation states exhibiting more complex strain fields. Graphic abstract: [Figure not available: see fulltext.].

AB - Micromechanical testing techniques can reveal a variety of characteristics in materials that are otherwise impossible to address. However, unlike to macroscopic testing, these miniaturized experiments are more challenging to realize and analyze, as loading and boundary conditions can often not be controlled to the same extent as in standardized macroscopic tests. Hence, exploiting all possible information from such an experiment seems utmost desirable. In the present work, we utilize dynamic in situ microtensile testing of a nanocrystalline equiatomic CoCrFeMnNi high entropy alloy in conjunction with initial feature tracking to obtain a continuous two-dimensional strain field. This enables an evaluation of true stress–strain data as well as of the Poisson’s ratio and allows to study localization of plastic deformation for the specimen. We demonstrate that the presented image correlation method allows for an additional gain of information in these sophisticated experiments over commercial tools and can serve as a starting point to study deformation states exhibiting more complex strain fields. Graphic abstract: [Figure not available: see fulltext.].

UR - http://www.scopus.com/inward/record.url?scp=85101049044&partnerID=8YFLogxK

UR - https://puretest.unileoben.ac.at/portal/en/publications/extracting-information-from-noisy-data-strain-mapping-during-dynamic-in-situ-sem-experiments(7c800378-be62-476d-9d3c-85a2e4244f3e).html

U2 - 10.1557/s43578-020-00041-0

DO - 10.1557/s43578-020-00041-0

M3 - Article

VL - 36.2021

SP - 2291

EP - 2304

JO - Journal of materials research (JMR)

JF - Journal of materials research (JMR)

SN - 0884-2914

IS - 11

ER -