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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7611314/ https://www.ncbi.nlm.nih.gov/pubmed/34290473 http://dx.doi.org/10.1557/s43578-020-00041-0 |
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author | Alfreider, M. Meindlhumer, M. Maier-Kiener, V. Hohenwarter, A. Kiener, D. |
author_facet | Alfreider, M. Meindlhumer, M. Maier-Kiener, V. Hohenwarter, A. Kiener, D. |
author_sort | Alfreider, M. |
collection | PubMed |
description | 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’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: [Image: see text] |
format | Online Article Text |
id | pubmed-7611314 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-76113142021-10-29 Extracting information from noisy data: strain mapping during dynamic in situ SEM experiments Alfreider, M. Meindlhumer, M. Maier-Kiener, V. Hohenwarter, A. Kiener, D. J Mater Res Article 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’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: [Image: see text] Springer International Publishing 2021-01-19 2021 /pmc/articles/PMC7611314/ /pubmed/34290473 http://dx.doi.org/10.1557/s43578-020-00041-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open accessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Alfreider, M. Meindlhumer, M. Maier-Kiener, V. Hohenwarter, A. Kiener, D. Extracting information from noisy data: strain mapping during dynamic in situ SEM experiments |
title | Extracting information from noisy data: strain mapping during dynamic in situ SEM experiments |
title_full | Extracting information from noisy data: strain mapping during dynamic in situ SEM experiments |
title_fullStr | Extracting information from noisy data: strain mapping during dynamic in situ SEM experiments |
title_full_unstemmed | Extracting information from noisy data: strain mapping during dynamic in situ SEM experiments |
title_short | Extracting information from noisy data: strain mapping during dynamic in situ SEM experiments |
title_sort | extracting information from noisy data: strain mapping during dynamic in situ sem experiments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7611314/ https://www.ncbi.nlm.nih.gov/pubmed/34290473 http://dx.doi.org/10.1557/s43578-020-00041-0 |
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