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Powder Bed Layer Characteristics: The Overseen First-Order Process Input

  • Symposium: Additive Manufacturing: Building the Pathway to Process and Material Qualification
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Abstract

Powder Bed Additive Manufacturing offers unique advantages in terms of manufacturing cost, lot size, and product complexity compared to traditional processes such as casting, where a minimum lot size is mandatory to achieve economic competitiveness. Many studies—both experimental and numerical—are dedicated to the analysis of how process parameters such as heat source power, scan speed, and scan strategy affect the final material properties. Apart from the general urge to increase the build rate using thicker powder layers, the coating process and how the powder is distributed on the processing table has received very little attention to date. This paper focuses on the first step of every powder bed build process: Coating the process table. A numerical study is performed to investigate how powder is transferred from the source to the processing table. A solid coating blade is modeled to spread commercial Ti-6Al-4V powder. The resulting powder layer is analyzed statistically to determine the packing density and its variation across the processing table. The results are compared with literature reports using the so-called “rain” models. A parameter study is performed to identify the influence of process table displacement and wiper velocity on the powder distribution. The achieved packing density and how that affects subsequent heat source interaction with the powder bed is also investigated numerically.

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Acknowledgments

The authors acknowledge the financial support of the European Commission 7th Framework Program AMAZE. The authors would like to also thank project partners and collaborators for the ongoing discussions, support, and motivation.

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Correspondence to M. Megahed.

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Manuscript submitted November 18, 2015.

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Mindt, H.W., Megahed, M., Lavery, N.P. et al. Powder Bed Layer Characteristics: The Overseen First-Order Process Input. Metall Mater Trans A 47, 3811–3822 (2016). https://doi.org/10.1007/s11661-016-3470-2

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