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Automatic Determination of Secondary Dendrite Arm Spacing in AlSi-Cast Microstructures
A new procedure for the automatic measurement of the secondary dendrite arm spacing (SDAS) from microscopic images is presented. The individual primary and secondary dendrite arms are identified through suitable segmentation techniques and clustered in such a way that dendritic structures are obtain...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198426/ https://www.ncbi.nlm.nih.gov/pubmed/34070591 http://dx.doi.org/10.3390/ma14112827 |
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author | Gawert, Christian Bähr, Rüdiger |
author_facet | Gawert, Christian Bähr, Rüdiger |
author_sort | Gawert, Christian |
collection | PubMed |
description | A new procedure for the automatic measurement of the secondary dendrite arm spacing (SDAS) from microscopic images is presented. The individual primary and secondary dendrite arms are identified through suitable segmentation techniques and clustered in such a way that dendritic structures are obtained suitable for SDAS measurement. The algorithms are applied to two different hypoeutectic aluminum cast alloys, and the quality of the measurements obtained is assessed through a comparison to manually measured SDAS values. A good agreement between the automated measurements and the distribution of manual measurements is found for both cast structures considered. In addition, a decrease in computation time is observed which allows for an increase in measurement density that is used to characterize the microstructures. |
format | Online Article Text |
id | pubmed-8198426 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81984262021-06-14 Automatic Determination of Secondary Dendrite Arm Spacing in AlSi-Cast Microstructures Gawert, Christian Bähr, Rüdiger Materials (Basel) Article A new procedure for the automatic measurement of the secondary dendrite arm spacing (SDAS) from microscopic images is presented. The individual primary and secondary dendrite arms are identified through suitable segmentation techniques and clustered in such a way that dendritic structures are obtained suitable for SDAS measurement. The algorithms are applied to two different hypoeutectic aluminum cast alloys, and the quality of the measurements obtained is assessed through a comparison to manually measured SDAS values. A good agreement between the automated measurements and the distribution of manual measurements is found for both cast structures considered. In addition, a decrease in computation time is observed which allows for an increase in measurement density that is used to characterize the microstructures. MDPI 2021-05-25 /pmc/articles/PMC8198426/ /pubmed/34070591 http://dx.doi.org/10.3390/ma14112827 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Gawert, Christian Bähr, Rüdiger Automatic Determination of Secondary Dendrite Arm Spacing in AlSi-Cast Microstructures |
title | Automatic Determination of Secondary Dendrite Arm Spacing in AlSi-Cast Microstructures |
title_full | Automatic Determination of Secondary Dendrite Arm Spacing in AlSi-Cast Microstructures |
title_fullStr | Automatic Determination of Secondary Dendrite Arm Spacing in AlSi-Cast Microstructures |
title_full_unstemmed | Automatic Determination of Secondary Dendrite Arm Spacing in AlSi-Cast Microstructures |
title_short | Automatic Determination of Secondary Dendrite Arm Spacing in AlSi-Cast Microstructures |
title_sort | automatic determination of secondary dendrite arm spacing in alsi-cast microstructures |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198426/ https://www.ncbi.nlm.nih.gov/pubmed/34070591 http://dx.doi.org/10.3390/ma14112827 |
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