| About this Abstract |
| Meeting |
MS&T21: Materials Science & Technology
|
| Symposium
|
Additive Manufacturing of Metals: Equipment, Instrumentation and In-Situ Process Monitoring
|
| Presentation Title |
Materials Characterization of Anomalies Identified Through In-situ Process Monitoring Data Analytics |
| Author(s) |
Jonathan Ciero, Dylan Christman, Kyle Ryan, Shuchi “SK” Khurana, Thomas Spears, Joy Gockel |
| On-Site Speaker (Planned) |
Jonathan Ciero |
| Abstract Scope |
Laser powder bed fusion (LPBF) is a rapidly growing metal additive manufacturing (AM) technology for the fabrication of complex end-use parts. However, LPBF has difficulties assuring quality parts with minimal defects during the build process without additional post-processing that adds to the total cost and overall part manufacturing time. The use of in-situ process monitoring can assure build quality and can support qualification and certification of AM parts. Using three different in-situ sensors, data was collected over multiple builds of Alloy 718 with strategically generated process anomalies using processing parameters and problematic geometries. Materials characterization methods were employed to quantify defects in anomalous regions as indicated by the in-situ process monitoring data analytics. Anomalies detected during the AM builds are associated with specific material defects to further guide the development of robust process monitoring techniques to detect quality issues that could lead to part failure. |