|About this Abstract
||MS&T21: Materials Science & Technology
||Additive Manufacturing: Alloy Design to Develop New Feedstock Materials III
||A High-throughput Method to Define New Feedstock Process Parameters in Additive Manufacturing
||Zahabul Islam, Ankur Kumar Agrawal, Behzad Rankouhi, Frank E. Pfefferkorn, Dan J. Thoma
|On-Site Speaker (Planned)
This study demonstrates how a newly introduced analytical and experimental method can be used to define the processing settings for a new alloy feedstock where the additive manufacturing process parameters were previously unknown. To assess the effectiveness of this technique, a nickel-based superalloy, Haynes 282, was chosen for the analysis. An experimental matrix of processing parameters was predicted with a dimensionless number and 100 samples were printed. High-throughput (HT) characterization using both density and hardness measurements of individual samples validated the predicted process conditions. The process was completed in 16 hours. The new technique was confirmed with analytical processing maps being adopted by the metal additive manufacturing community. With the predicted best process setting, detailed microstructural characterization and mechanical properties were investigated and compared to standard properties of Haynes 282. The results demonstrate an effective strategy to validate the high-throughput design technique for new feedstock materials.