| About this Abstract |
| Meeting |
2022 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing: Advanced Characterization with Synchrotron, Neutron, and In Situ Laboratory-scale Techniques II
|
| Presentation Title |
High-throughput Surface Characterization to Identify Processing Defect Boundaries in Additively Manufactured Materials |
| Author(s) |
Ankur Kumar Agrawal, Dan J Thoma |
| On-Site Speaker (Planned) |
Ankur Kumar Agrawal |
| Abstract Scope |
In laser powder bed fusion (LPBF), porosity defects can be minimized by controlling the melt pool geometry and improving interlayer bonding. Thus, a careful examination of the melt pool tracks can provide insights into different processing regimes. This study presents a new high-throughput (HT) surface methodology that is capable as an emerging in situ process monitoring tool for different types of porosity defects in LPBF. Processing maps in metal additive manufacturing are typically shown as laser power-velocity plots, where lack-of-fusion, keyholing, and balling regimes can be estimated from analytical models, or more rigorously defined with high-throughput synthesis of samples by evaluating density and hardness. However, validation of the types of defects has been limited to traditional, low-throughput metallographic techniques on a select set of samples. The new surface analysis permits direct linkages to the porosity defects in the process maps. Applications to other alloy systems will be discussed. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Iron and Steel, Other |