| About this Abstract |
| Meeting |
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
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| Symposium
|
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Presentation Title |
Implementing In-situ Process Monitoring in Additive Manufacturing to Accelerate Qualification |
| Author(s) |
Michael Heiden, Jesse Adamczyk, Dan Bolintineanu, Anthony Garland, Ana Love, Hyein Choi, David Moore, Catherine Appleby, David Saiz |
| On-Site Speaker (Planned) |
Michael Heiden |
| Abstract Scope |
Studies across industry have demonstrated in-situ monitoring’s ability to track build events during metal additive manufacturing (AM) processes. However, process monitoring hasn’t yet been implemented in production environments due to the slow, resource-intensive nature associated with acquiring/analyzing large datasets with multiple complex outputs. The goal is to equip AM production machines with deployable sensor hardware, along with a simple user interface and software that provides a manageable amount of data for designer decision-making. This presentation describes a multi-year effort to develop a resource-effective in-situ instrumentation toolset for AM production environments that incorporates machine learning to ultimately form a common data processing framework. The study aims to assist AM process development, ensure process consistency, and contribute to part acceptance for metal AM production. Furthermore, this work investigates how in-situ process monitoring contributes to an AM part’s digital thread.
SNL is managed and operated by NTESS under DOE NNSA contract DE-NA0003525. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |