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In-situ layerwise monitoring of electron beam powder bed fusion using near-infrared imaging AITranslate

Univ. Grenoble Alpes;Univ. Grenoble Alpes;Univ. Grenoble Alpes;Univ. Grenoble Alpes;Univ. Grenoble Alpes;Univ. Grenoble Alpes
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Publisher: Elsevier
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Abstract AITranslate

A near-infrared camera (NIR) is employed to monitor layer-by-layer in-situ electron beam powder bed fusion (E-PBF). We aim at demonstrating that such a device allows various kinds of flaws to be reliably captured thanks to qualitative thermal information. Defects such as distortions or uneven top surfaces can be detected in the NIR-images. Information about temperature heterogeneities can also be linked with some distortions occurring near overhangs. Some lack-of-fusion pores are revealed in the NIR-images. Unexpected localized defects appearing as isolated pores elongated along the building direction, and referred to as chimney pores, are also detected in the NIR-images. Pore-like defects can be described in 3D based on the NIR-images. Post-processing non-destructive characterization performed using X-ray computed tomography (XCT) is carried out to validate the information provided by the NIR-images. Comparisons between the 3D images obtained from the NIR-images acquired in-situ and processed using image analysis, and the 3D images obtained through XCT demonstrate that the morphology and spatial distribution of the defects can be reliably captured by NIR-imaging.

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DOI:https://doi.org/10.1016/j.addma.2020.101767

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Citation Information:

A near-infrared camera (NIR) is employed to monitor layer-by-layer in-situ electron beam powder bed fusion (E-PBF). We aim at demonstrating that such a device allows various kinds of flaws to be reliably captured thanks to qualitative thermal information. Defects such as distortions or uneven top surfaces can be detected in the NIR-images. Information about temperature heterogeneities can also be linked with some distortions occurring near overhangs. Some lack-of-fusion pores are revealed in the NIR-images. Unexpected localized defects appearing as isolated pores elongated along the building direction, and referred to as chimney pores, are also detected in the NIR-images. Pore-like defects can be described in 3D based on the NIR-images. Post-processing non-destructive characterization performed using X-ray computed tomography (XCT) is carried out to validate the information provided by the NIR-images. Comparisons between the 3D images obtained from the NIR-images acquired in-situ and processed using image analysis, and the 3D images obtained through XCT demonstrate that the morphology and spatial distribution of the defects can be reliably captured by NIR-imaging.

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GB/T 7714-2015 [1] Guillaume Croset, Guilhem Martin, Charles Josserond, et al. Additive Manufacturing, 2021(38). DOI:10.1016/j.addma.2020.101767.
MLA [1] Guillaume Croset, et al., Additive Manufacturing, no. 38, 2021, https://doi.org/10.1016/j.addma.2020.101767.
APA [1] Guillaume Croset, Guilhem Martin, Charles Josserond, Pierre Lhuissier, JeanJacques Blandin, & Rémy Dendievel. (2021). Additive Manufacturing(38). https://doi.org/10.1016/j.addma.2020.101767
IEEE [1] Guillaume Croset, Guilhem Martin, Charles Josserond, Pierre Lhuissier, JeanJacques Blandin, and Rémy Dendievel, Additive Manufacturing, no. 38, 2021, doi: 10.1016/j.addma.2020.101767.