|About this Abstract
||2018 TMS Annual Meeting & Exhibition
||Alloy Development and Powder Manufacture for Additive Manufacturing
||Computational Design of High-performance Aluminum Alloys for Additive Manufacturing
||David Snyder, Gregory Olson
|On-Site Speaker (Planned)
Integrated Computational Materials Engineering (ICME) methodologies and tools have been applied to the optimization of feedstock compositions for metallic additive manufacturing (AM) for improved performance and reliability. Using ICME methods, a new class of precipitation hardenable aluminum alloys has been designed for use in laser powder bed fusion (LPBF) systems. Limitations in the AM processing of high-strength aluminum will be outlined, as well as the development and application of models to address these in new aluminum alloy design. Concept feasibility is demonstrated using novel bead-on-plate welding trials in a LPBF system. Refined alloy designs have been produced by inert gas atomization and evaluated in commercial LPBF systems for processing and post-process response. The results of these evaluations and the demonstrated mechanical properties of the new feedstock alloys will be presented.
||Planned: Supplemental Proceedings volume