| 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 |
On the use of Event-based Change Detection Neuromorphic Imagers for In-Process Monitoring of Additive Manufacturing |
| Author(s) |
David Mascarenas, Andre Green |
| On-Site Speaker (Planned) |
David Mascarenas |
| Abstract Scope |
Imagers are attractive sensors for in-process monitoring of additive manufacturing (AM) processes on account of their ability to capture high spatial-resolution data. However, this advantage comes at the price of large memory generation. Additionally, some metallic AM processes have high light intensity and high speed dynamics which further complicates data collection. Emerging change detection, event-driven, neuromorphic imagers represent an alternate imaging modality. Change detection event imagers only report data for pixels whose log intensity value has changed beyond a specified threshold. These imagers tend to generate less data than conventional imagers, respond to sub-millisecond phenomena in the environment, and have a high dynamic range. These properties make these imagers attractive for a variety of AM processes. We demonstrate the performance of change detection event-based neuromorphic imagers in the context of AM/welding processes such as glass laser AM and arc/laser welding. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |