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Dataset of in-situ coaxial monitoring and print’s cross-section images by Direct Energy Deposition fabrication
Coaxial monitoring of the Direct Energy Deposition (DED) machines enables a real-time material deposition study. Coaxial-images contain substantial melt-pool information and incorporate situational information including the sparks’ intensity, numbers, etc. Recent studies have shown that melt-pool ob...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630360/ https://www.ncbi.nlm.nih.gov/pubmed/37935696 http://dx.doi.org/10.1038/s41597-023-02672-4 |
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author | Akhavan, Javid Lyu, Jiaqi Mahmoud, Youmna Xu, Ke Vallabh, Chaitanya Krishna Prasad Manoochehri, Souran |
author_facet | Akhavan, Javid Lyu, Jiaqi Mahmoud, Youmna Xu, Ke Vallabh, Chaitanya Krishna Prasad Manoochehri, Souran |
author_sort | Akhavan, Javid |
collection | PubMed |
description | Coaxial monitoring of the Direct Energy Deposition (DED) machines enables a real-time material deposition study. Coaxial-images contain substantial melt-pool information and incorporate situational information including the sparks’ intensity, numbers, etc. Recent studies have shown that melt-pool observations correlate directly with machine parameters and artifact properties. Therefore, the melt-pool information not only can assist in measuring the machine’s working condition and determining machine operation parameters’ reliability but also facilitates the deposition characteristics studies like print’s regime and dimensions. This information is gathered during the fabrication and can be expanded to perform various process studies and fault registration. This paper utilizes the Optomec DED machine to fabricate single-track prints with multiple process parameters, while a coaxial camera records the deposition. Each deposited track is then cut perpendicular to the print’s direction to facilitate process parameters correlation study with actual geometrical deposition measured using a microscope. The coaxial images taken during fabrication, along with their process parameters, cross-cut measurements, and a developed image-processing toolbox, are presented alongside this paper to empower future research directions. |
format | Online Article Text |
id | pubmed-10630360 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106303602023-11-07 Dataset of in-situ coaxial monitoring and print’s cross-section images by Direct Energy Deposition fabrication Akhavan, Javid Lyu, Jiaqi Mahmoud, Youmna Xu, Ke Vallabh, Chaitanya Krishna Prasad Manoochehri, Souran Sci Data Data Descriptor Coaxial monitoring of the Direct Energy Deposition (DED) machines enables a real-time material deposition study. Coaxial-images contain substantial melt-pool information and incorporate situational information including the sparks’ intensity, numbers, etc. Recent studies have shown that melt-pool observations correlate directly with machine parameters and artifact properties. Therefore, the melt-pool information not only can assist in measuring the machine’s working condition and determining machine operation parameters’ reliability but also facilitates the deposition characteristics studies like print’s regime and dimensions. This information is gathered during the fabrication and can be expanded to perform various process studies and fault registration. This paper utilizes the Optomec DED machine to fabricate single-track prints with multiple process parameters, while a coaxial camera records the deposition. Each deposited track is then cut perpendicular to the print’s direction to facilitate process parameters correlation study with actual geometrical deposition measured using a microscope. The coaxial images taken during fabrication, along with their process parameters, cross-cut measurements, and a developed image-processing toolbox, are presented alongside this paper to empower future research directions. Nature Publishing Group UK 2023-11-07 /pmc/articles/PMC10630360/ /pubmed/37935696 http://dx.doi.org/10.1038/s41597-023-02672-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 | Data Descriptor Akhavan, Javid Lyu, Jiaqi Mahmoud, Youmna Xu, Ke Vallabh, Chaitanya Krishna Prasad Manoochehri, Souran Dataset of in-situ coaxial monitoring and print’s cross-section images by Direct Energy Deposition fabrication |
title | Dataset of in-situ coaxial monitoring and print’s cross-section images by Direct Energy Deposition fabrication |
title_full | Dataset of in-situ coaxial monitoring and print’s cross-section images by Direct Energy Deposition fabrication |
title_fullStr | Dataset of in-situ coaxial monitoring and print’s cross-section images by Direct Energy Deposition fabrication |
title_full_unstemmed | Dataset of in-situ coaxial monitoring and print’s cross-section images by Direct Energy Deposition fabrication |
title_short | Dataset of in-situ coaxial monitoring and print’s cross-section images by Direct Energy Deposition fabrication |
title_sort | dataset of in-situ coaxial monitoring and print’s cross-section images by direct energy deposition fabrication |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630360/ https://www.ncbi.nlm.nih.gov/pubmed/37935696 http://dx.doi.org/10.1038/s41597-023-02672-4 |
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