Extracting information from noisy data: strain mapping during dynamic in situ SEM experiments
Research output: Contribution to journal › Article › Research › peer-review
Standard
In: Journal of materials research (JMR), Vol. 36.2021, No. 11, 14.06.2021, p. 2291-2304.
Research output: Contribution to journal › Article › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex - Download
}
RIS (suitable for import to EndNote) - Download
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 -