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Qualify a near-infrared camera to detect thermal deviation during aluminum alloy Wire Arc Additive Manufacturing

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DataCite Commons2025-05-16 更新2025-04-16 收录
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https://entrepot.recherche.data.gouv.fr/citation?persistentId=doi:10.57745/7HF7KG
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资源简介:
Data presented here are the part of the study: Dellarre A, Béraud N, Villeneuve F, Tardif N, Vignat F, Limousin M : Qualify a near-infrared camera to detect thermal deviation during aluminum Wire Arc Additive Manufacturing process Date : November 2022 e-mail : anthony.dellarre@grenoble-inp.fr Please use appropriate citations and referencing while using this dataset by any means. Contributing authors: Anthony Dellarre, Nicolas Béraud, François Villeneuve, Nicolas Tardif, Frédéric Vignat, Maxime Limousin Any further information could be asked by making a legitimate request to: Anthony Dellarre (anthony.dellarre@grenobe-inp.fr) and Nicolas Béraud (nicolas.beraud@grenoble-inp.fr) The folder archetecture is : - Wall referenced by its idle time * Row data : + video of near frame (.mp4) + near_camera (*.bmp) + scan (scan.stl) * Process data : + width of the wall function of the x coordinate and layer number (width.csv) + height of the wall function of the x coordinate and layer number (height.csv) + the thermal metric (surface of the thermal processed area) in function of the layer (thermalMetric.csv) Please refer to the paper for any further scientific details.
提供机构:
Recherche Data Gouv
创建时间:
2022-12-08
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