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Relationship between powder properties and powder layer quality in powder-bed-based additive manufacturing processes

Authors :
Soulier, Mathieu
Burr, A.
Bonnefoy, V.
Laucournet, R.
Département des Technologies des NanoMatériaux (DTNM)
Laboratoire d'Innovation pour les Technologies des Energies Nouvelles et les nanomatériaux (LITEN)
Institut National de L'Energie Solaire (INES)
Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Institut National de L'Energie Solaire (INES)
Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)
Source :
World PM2022 Proceedings, World PM2022, World PM2022, Oct 2022, Lyon, France. pp.5368597
Publication Year :
2022
Publisher :
HAL CCSD, 2022.

Abstract

International audience; The powder spreadability drives the robustness of powder-bed-based additive manufacturing processes (laser powder bed fusion and binder jetting) as well as the performance of the printed parts. A data analysis relying on the characterizations of 59 powders is introduced to better understand and predict powder spreadability. The study is also supported by data coming from a powder spreading bench able to assess the powder layer roughness and apparent density. It is found that the untapped powder apparent density is a relevant indicator of the powder layerdensity. The untapped density is itself widely dependent on the particle sphericity measured by morphogranulometry. A statistical model based on multiple linear regressions and standard least square method has been established to predict powder apparent density based on the particle shape and size. The model explains 85% of the variability of the relative powder apparent density and allows an efficient screening of powders spreadability without experiments. A comparison between roller-spreading and blade-spreading is also presented in the study. The compacting forces applied by the roller on the powder bed allow the spreading of fine cohesive powder below 15 microns, which is impossible with a blade. Spreading of such fine powder presentsthe advantage to minimize the powder layer roughness

Details

Language :
English
Database :
OpenAIRE
Journal :
World PM2022 Proceedings, World PM2022, World PM2022, Oct 2022, Lyon, France. pp.5368597
Accession number :
edsair.od......3515..e5d40df599a5bf589ce85fe3d9cb1bb9