| About this Abstract |
| Meeting |
2024 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2024)
|
| Symposium
|
2024 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2024)
|
| Presentation Title |
Identification and Reduction of Disturbance Factors in the Acoustic Process Monitoring of the PBF-LB for Quality Assurance |
| Author(s) |
Peter Gross, Holger Merschroth, Italo Balestra, Cristiano De Boni, Alexander Fritz, Johannes Schötz, Yaxiong Ren, Tobias Melz, Matthias Weigold |
| On-Site Speaker (Planned) |
Peter Gross |
| Abstract Scope |
Powder bed fusion with laser beam for metals (PBF-LB/M) is widely used to produce complex parts for lightweight applications. Although there have been many investigations to set up an in-situ process monitoring for the PBF-LB/M, cost-intensive quality assurance is necessary. Acoustic process monitoring is a promising approach due to high data rates with small memory requirements, a simple implementation and the possibility to detect subsurface defects. However, disturbance factors during the acoustic measurements affected the quality of defect detection. In this paper, we present an approach to identify and minimize disturbance factors by varying the process boundary conditions such as the reflection behavior of the build chamber while monitoring single track experiments. Subsequently the impact of the build chamber reflection on the data quality is evaluated by a comparative analysis. This work shows that a careful consideration of the boundary conditions plays a crucial role to ensure reliable defect detection. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |