About this Abstract |
Meeting |
MS&T22: Materials Science & Technology
|
Symposium
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Additive Manufacturing Modeling, Simulation, and Machine Learning: Microstructure, Mechanics, and Process
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Presentation Title |
Powder Bed Packing Density Dependence on Particle Size Distribution: Simulation and Experimental Analysis |
Author(s) |
Ummay Habiba, Michael Fazzino, Serge M Nakhmanson , Rainer Hebert |
On-Site Speaker (Planned) |
Ummay Habiba |
Abstract Scope |
This study examines powder particle distributions, actual and model distributions for laser powder bed fusion additive manufacturing. The study aims to determine if a powder size distribution exists that maximizes the particle packing density after powder spreading. The size distributions selected for this study were monodispersed, bimodal, and trimodal distributions, and a size distribution used in standard additive manufacturing practice. Packing densities were determined using the Discrete Element Modeling method (DEM) and for the experimental powder size distribution based on an experimental approach developed by NIST. The results indicate an overall increase in packing density during the first layers, approaching constant values after about 10 layers. An effect of the size distributions on packing density is detected, but future melting studies will show if the differences affect microstructures and defect formation of additively manufactured samples. |