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Numerical modeling of powder spreading in additive manufacturing processes: effects of process parameters and particle size distribution
Alexis Burr, Maxime Stephan, Mathieu Soulier

Numerical modeling of powder spreading in additive manufacturing processes: effects of process parameters and particle size distribution

Science & Mathematics Published 2022 Verification Pending

Overview & Synopsis

Powder bed properties are of main interests in additive manufacturing processes. Particularly, it is paramount to ensure a correct density of the powder bed as this will have an impact on the final part properties. In this work, we propose to model the deposition of powder by the discrete element method through an elastic contact law (using the EDEM software from Altair with GPU acceleration). Different particle size distributions are used with different recoating strategies so as to estimate the effect of the mean particle size, recoater speed and nominal layer thickness on the powder bed density and segregation. Those two quantities evolve similarly with the increase of layer thickness, whatever the particle size distribution. Only the segregation is observed to have a larger impact for wider particle size distribution.

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Document Information

Document Title Numerical modeling of powder spreading in additive manufacturing processes: effects of process parameters and particle size distribution
Author / Organization Alexis Burr, Maxime Stephan, Mathieu Soulier
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2022
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-232927
Original Source Link Visit Source Page on hal.science »