A co-registered in-situ and ex-situ dataset from wire arc additive manufacturing process
Abstract Recent progress in sensing techniques and data analytics tools have significantly accelerated the development of Wire Arc Additive Manufacturing (WAAM) systems. This data-centric approach emphasizes leveraging sensor data available throughout the production process to optimize performance....
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-02-01
|
| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04638-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849766891152736256 |
|---|---|
| author | Vladimir Orlyanchik Jeffrey Kimmell Zackary Snow Amir Ziabari Vincent Paquit |
| author_facet | Vladimir Orlyanchik Jeffrey Kimmell Zackary Snow Amir Ziabari Vincent Paquit |
| author_sort | Vladimir Orlyanchik |
| collection | DOAJ |
| description | Abstract Recent progress in sensing techniques and data analytics tools have significantly accelerated the development of Wire Arc Additive Manufacturing (WAAM) systems. This data-centric approach emphasizes leveraging sensor data available throughout the production process to optimize performance. Integration of extensive data analysis provides opportunities for improving precision, reducing waste, and enhancing the quality of produced parts. This method relies on AI/ML models and optimization techniques, which are developed using the data collected from various sources, including in-situ sensors, ex-situ imaging, and manufacturing process parameters. The quality and diversity of this data, along with the alignment between different data streams (achieved through spatiotemporal registration) are critical for the successful development of AI/ML and optimization models. In this work, we present a spatiotemporally registered dataset generated during the WAAM process of deposition of a rectangular block. The dataset includes a comprehensive description of the deposition process, process parameters, welding characteristics and acoustic data collected in-situ, and X-Ray Computed Tomography data of the build. |
| format | Article |
| id | doaj-art-5e08196704af4a00904c16d956dc2a7c |
| institution | DOAJ |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-5e08196704af4a00904c16d956dc2a7c2025-08-20T03:04:26ZengNature PortfolioScientific Data2052-44632025-02-0112111010.1038/s41597-025-04638-0A co-registered in-situ and ex-situ dataset from wire arc additive manufacturing processVladimir Orlyanchik0Jeffrey Kimmell1Zackary Snow2Amir Ziabari3Vincent Paquit4Manufacturing Science Division, Oak Ridge National LaboratoryManufacturing Science Division, Oak Ridge National LaboratoryManufacturing Science Division, Oak Ridge National LaboratoryElectrification and Energy Infrastructure Division, Oak Ridge National LaboratoryManufacturing Science Division, Oak Ridge National LaboratoryAbstract Recent progress in sensing techniques and data analytics tools have significantly accelerated the development of Wire Arc Additive Manufacturing (WAAM) systems. This data-centric approach emphasizes leveraging sensor data available throughout the production process to optimize performance. Integration of extensive data analysis provides opportunities for improving precision, reducing waste, and enhancing the quality of produced parts. This method relies on AI/ML models and optimization techniques, which are developed using the data collected from various sources, including in-situ sensors, ex-situ imaging, and manufacturing process parameters. The quality and diversity of this data, along with the alignment between different data streams (achieved through spatiotemporal registration) are critical for the successful development of AI/ML and optimization models. In this work, we present a spatiotemporally registered dataset generated during the WAAM process of deposition of a rectangular block. The dataset includes a comprehensive description of the deposition process, process parameters, welding characteristics and acoustic data collected in-situ, and X-Ray Computed Tomography data of the build.https://doi.org/10.1038/s41597-025-04638-0 |
| spellingShingle | Vladimir Orlyanchik Jeffrey Kimmell Zackary Snow Amir Ziabari Vincent Paquit A co-registered in-situ and ex-situ dataset from wire arc additive manufacturing process Scientific Data |
| title | A co-registered in-situ and ex-situ dataset from wire arc additive manufacturing process |
| title_full | A co-registered in-situ and ex-situ dataset from wire arc additive manufacturing process |
| title_fullStr | A co-registered in-situ and ex-situ dataset from wire arc additive manufacturing process |
| title_full_unstemmed | A co-registered in-situ and ex-situ dataset from wire arc additive manufacturing process |
| title_short | A co-registered in-situ and ex-situ dataset from wire arc additive manufacturing process |
| title_sort | co registered in situ and ex situ dataset from wire arc additive manufacturing process |
| url | https://doi.org/10.1038/s41597-025-04638-0 |
| work_keys_str_mv | AT vladimirorlyanchik acoregisteredinsituandexsitudatasetfromwirearcadditivemanufacturingprocess AT jeffreykimmell acoregisteredinsituandexsitudatasetfromwirearcadditivemanufacturingprocess AT zackarysnow acoregisteredinsituandexsitudatasetfromwirearcadditivemanufacturingprocess AT amirziabari acoregisteredinsituandexsitudatasetfromwirearcadditivemanufacturingprocess AT vincentpaquit acoregisteredinsituandexsitudatasetfromwirearcadditivemanufacturingprocess AT vladimirorlyanchik coregisteredinsituandexsitudatasetfromwirearcadditivemanufacturingprocess AT jeffreykimmell coregisteredinsituandexsitudatasetfromwirearcadditivemanufacturingprocess AT zackarysnow coregisteredinsituandexsitudatasetfromwirearcadditivemanufacturingprocess AT amirziabari coregisteredinsituandexsitudatasetfromwirearcadditivemanufacturingprocess AT vincentpaquit coregisteredinsituandexsitudatasetfromwirearcadditivemanufacturingprocess |