| About this Abstract |
| Meeting |
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
| Symposium
|
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
| Presentation Title |
Spatially-resolved Mapping and Statistically-based Analysis of Powder Layer Density by Transmission X-ray Imaging |
| Author(s) |
Ryan Penny, Daniel Oropeza, Reimar Weissbach, Patrick M. Praegla, Christoph Meier, Wolfgang A. Wall, John Hart |
| On-Site Speaker (Planned) |
John Hart |
| Abstract Scope |
The uniformity and packing density of powder layers used in AM are intimately related to powder characteristics as well as mechanical boundary conditions imposed by the spreading mechanism and the build surface. Although optical techniques can provide critical information on layer quality, especially that related to surface topography and visible flaws, we recently demonstrated the use of transmission X-ray imaging to spatially map the density of thin powder layers for metal AM. We present this technique and the integration of a precision spreading mechanism with X-ray imaging, enabling high-fidelity comparison of layers produced with rigid and compliant spreading tools. Our results, combined with powder characterization (e.g., size distribution, angle of repose) and discrete element method (DEM) simulations, clarify how powder cohesion and spreading strategy influence the bulk and statistical nature of powder layers in AM, and further enable rapid assessment of spreading strategies and identification of practical guidelines. |
| Proceedings Inclusion? |
Undecided |