| About this Abstract |
| Meeting |
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
| Symposium
|
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
| Presentation Title |
Quantifying the Size, Shape, and Porosity of Metal Powder Particles using X-ray Computed Tomography |
| Author(s) |
Newell Moser, Orion Kafka, Edward Garboczi, Lyle Levine, Nik Hrabe, Jake Benzing, Nicholas Derimow |
| On-Site Speaker (Planned) |
Newell Moser |
| Abstract Scope |
The particle size and shape distributions of metal powders used in additive manufacturing powder bed fusion processes are of technological importance for the final built product. Consequently, these measurements are a cornerstone towards the pivotal development of high-fidelity simulations of additive manufacturing processes. This presentation describes a set of techniques using X-ray computed tomography (X-ray CT), combined with various mathematical algorithms, to measure the 3D size, shape, and internal porosity of individual particles. Inconel powder particles that were used for AM Bench 2022 were characterized using these techniques, and the results and conclusions of these X-ray CT analyses are presented here. Moreover, a brief introduction to our new, open-source suite of Python scripts will be provided, which simplify the image analysis of particles and X-ray CT data in general. |
| Proceedings Inclusion? |
Undecided |