Quantitative analysis of thin metal powder layers via transmission X-ray imaging and discrete element simulation: Blade-based spreading approaches
Ryan W. Penny, Daniel Oropeza, Patrick M. Praegla, Reimar Weissbach,, Christoph Meier, Wolfgang A. Wall, A. John Hart

TL;DR
This study combines transmission X-ray imaging and discrete element simulation to analyze how blade geometry and powder properties affect the uniformity and density of metal powder layers in additive manufacturing.
Contribution
It introduces a modular apparatus for detailed analysis of powder spreading, revealing how blade shape and powder properties influence layer quality in metal additive manufacturing.
Findings
Curved blade geometries increase material deposition.
V-shaped rubber blades reduce streaking and improve uniformity.
Surface energy critically affects layer density at specific alloy densities.
Abstract
Spreading uniform and dense layers is of paramount importance to creating high-quality components using powder bed additive manufacturing (AM). Blade-like tools are often employed for spreading powder metal feedstocks, especially in laser powder bed fusion and electron beam melting, where powders are characterized by a D50 of 30 microns or greater. Along with variations in boundary conditions introduced by the layer-wise geometry and surface topography of the printed component, stochastic interactions between the spreading tool and powder result in spatial variations of layer quality that are still not well understood. Here, to study powder spreading under conditions representative of powder bed AM, we employ a modular, mechanized apparatus to create powder layers from moderately and highly cohesive powders with a selection of blade-like spreading tools. Powder layer effective depth is…
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Taxonomy
TopicsParticle Dynamics in Fluid Flows · Additive Manufacturing Materials and Processes · Additive Manufacturing and 3D Printing Technologies
