| About this Abstract |
| Meeting |
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
| Symposium
|
Additive Manufacturing Benchmarks 2022 (AM-Bench 2022)
|
| Presentation Title |
Experimental Data for the Asynchronous AM Bench Challenge: Coupling Laser Absorption with High-speed X-ray Imaging |
| Author(s) |
Brian Simonds, Jack Tanner, Paul M. Williams, Niranjan Parab, Tao Sun |
| On-Site Speaker (Planned) |
Brian Simonds |
| Abstract Scope |
The absorbed laser light provides all of the energy driving laser powder bed fusion additive manufacturing (AM) phenomenon – from melting to solidification. As such, it is a vital parameter for accurate predictions of AM processes. The first Asynchronous AM Benchmark (A-AMBench) challenge was designed to test the ability of simulations to accurately predict laser power absorption as well as various melt pool behaviors (width, depth, and solidification) during laser melt melting of solid aluminum during stationary and scanned laser illumination. The experimental data, against which challenge submission are judged, were obtained during a series of experiments at the Advanced Photon Source at Argonne National Laboratories combining integrating sphere radiometry and high-speed X-ray imaging. In this talk, we will present these experimental data and discuss how they were used with respect to the A-AMBench challenge. |
| Proceedings Inclusion? |
Undecided |