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Automatization and stress analysis data of CoCr laser weld fatigue tests
This work includes raw and analyzed test data when using a recently developed fatigue test method for miniature laser welds in cobalt-chromium (CoCr) alloy joints [1]: 10.1016/j.jmbbm.2019.07.004. The automization of fatigue tests is crucial for saving costs and personnel resources and that is the r...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811988/ https://www.ncbi.nlm.nih.gov/pubmed/31667216 http://dx.doi.org/10.1016/j.dib.2019.104374 |
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author | Kanerva, M. Besharat, Z. Pärnänen, T. Jokinen, J. Honkanen, M. Sarlin, E. Göthelid, M. Schlenzka, D. |
author_facet | Kanerva, M. Besharat, Z. Pärnänen, T. Jokinen, J. Honkanen, M. Sarlin, E. Göthelid, M. Schlenzka, D. |
author_sort | Kanerva, M. |
collection | PubMed |
description | This work includes raw and analyzed test data when using a recently developed fatigue test method for miniature laser welds in cobalt-chromium (CoCr) alloy joints [1]: 10.1016/j.jmbbm.2019.07.004. The automization of fatigue tests is crucial for saving costs and personnel resources and that is the reason why the atomization threshold and the resulting spectrum data related to CoCr welds are provided here. The finite element method based stress computation output is provided related to shearing-mode tests to support the dataset as a whole. In addition, the compositional data of the parent material and the laser weld are given. |
format | Online Article Text |
id | pubmed-6811988 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-68119882019-10-30 Automatization and stress analysis data of CoCr laser weld fatigue tests Kanerva, M. Besharat, Z. Pärnänen, T. Jokinen, J. Honkanen, M. Sarlin, E. Göthelid, M. Schlenzka, D. Data Brief Materials Science This work includes raw and analyzed test data when using a recently developed fatigue test method for miniature laser welds in cobalt-chromium (CoCr) alloy joints [1]: 10.1016/j.jmbbm.2019.07.004. The automization of fatigue tests is crucial for saving costs and personnel resources and that is the reason why the atomization threshold and the resulting spectrum data related to CoCr welds are provided here. The finite element method based stress computation output is provided related to shearing-mode tests to support the dataset as a whole. In addition, the compositional data of the parent material and the laser weld are given. Elsevier 2019-08-27 /pmc/articles/PMC6811988/ /pubmed/31667216 http://dx.doi.org/10.1016/j.dib.2019.104374 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Materials Science Kanerva, M. Besharat, Z. Pärnänen, T. Jokinen, J. Honkanen, M. Sarlin, E. Göthelid, M. Schlenzka, D. Automatization and stress analysis data of CoCr laser weld fatigue tests |
title | Automatization and stress analysis data of CoCr laser weld fatigue tests |
title_full | Automatization and stress analysis data of CoCr laser weld fatigue tests |
title_fullStr | Automatization and stress analysis data of CoCr laser weld fatigue tests |
title_full_unstemmed | Automatization and stress analysis data of CoCr laser weld fatigue tests |
title_short | Automatization and stress analysis data of CoCr laser weld fatigue tests |
title_sort | automatization and stress analysis data of cocr laser weld fatigue tests |
topic | Materials Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811988/ https://www.ncbi.nlm.nih.gov/pubmed/31667216 http://dx.doi.org/10.1016/j.dib.2019.104374 |
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