4.7 Article

Understanding the structure and dynamics of local powder packing density variations in metal additive manufacturing using set Voronoi analysis

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POWDER TECHNOLOGY
卷 418, 期 -, 页码 -

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ELSEVIER
DOI: 10.1016/j.powtec.2023.118272

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Set Voronoi diagrams; Local packing density; Powder recoating; Particle dynamics; Discrete element method; Additive manufacturing

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In powder bed fusion (PBF), accurately calculating the local packing density of non-spherical particles is crucial for understanding the behavior of powders in the system. The Set Voronoi tessellation method is introduced as a precise technique for this purpose. By studying three critical sections of the PBF system using the Discrete Element Method, we analyze the local packing variations in a discharging Hall flowmeter, the powder spreading process, and a realistic AM powder layer. This work provides important insights into how key process parameters affect the final part quality by studying the variations in local powder packing structure.
In powder bed fusion (PBF), the global packing density is an important property used to quantify the bulk behaviour of the powder. However, packing density can be highly non-uniform across the PBF system. In some cases global packing density is even ill-defined, such as in the case of spread powder layers which are typically only 1-2 particles thick and packed across a complex surface. However, an accurate calculation of the local packing density down to the resolution of individual particles can allow us to go beyond bulk descriptions and spatially quantify local powder packing density variations. In this paper, we present Set Voronoi tessellation as a precise method for calculating the local packing fraction of non-spherical particles across arbitrary boundaries. Using the Discrete Element Method (DEM) for a calibrated Ti-6Al-4 V powder model, we study the local packing variation in three critical sections of the PBF system. First, we analyse a discharging Hall flowmeter, a common apparatus used to benchmark the flowability of PBF feedstock. Second, we analyse the powder spreading process to understand how particle densities and velocities influence deposition. Lastly, we analyse the local packing variation across a realistic AM powder layer to demonstrate how layers can be digitally qualified to inform subsequent laser melting. Our work provides a novel technique to study the variations in the local packing structure of powders in dynamic PBF systems and to understand the mechanisms through which key process parameters influence final part quality.

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