About this Abstract |
Meeting |
2020 TMS Annual Meeting & Exhibition
|
Symposium
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Additive Manufacturing: Advanced Characterization with Synchrotron, Neutron, and In Situ Laboratory-scale Techniques
|
Presentation Title |
Sensor Enabled Material Optimization in Powder Bed Fusion Additive Manufacturing |
Author(s) |
Justin Gambone, Subhrajit Roychowdhury, Xiaohu Ping |
On-Site Speaker (Planned) |
Justin Gambone |
Abstract Scope |
PBFAM is becoming an increasingly utilized manufacturing technique for multiple industrial applications and with this the need for robust and high-quality materials has increased. Current techniques develop process parameter combinations that are applied over regions of a part, segmented based on drastic geometry shifts. This can lead to material debits in sub-sections of the part as the underlying variation in thermal leakage is not properly accounted for to maintain a consistent process. Optic train sensors imaging the region around the meltpool and local area sensors capturing post-weld information provide a path to continuously characterize the build behavior. The focus of this work is to leverage these sensors to provide insights which govern material behavior, allowing the assessment of a part throughout its volume. The results of which are used to further improve the build process through the local control of parameters using a high definition segmentation and scanning strategy. |
Proceedings Inclusion? |
Planned: Supplemental Proceedings volume |