High-Throughput Experiments and Computation for Designing and Improving Alloys Used in Additive Manufacturing

The emergence of beam-based additive manufacturing techniques has presented unique challenges in materials design, mainly due to the distinctive thermal processing conditions. This talk will explore several case studies that have utilized directed energy deposition and laser powder bed fusion as primary research tools for designing alloys suitable for additive manufacturing. Such design work not only generates novel alloy compositions for additive manufacturing but also enables the creation of functionally graded alloys. Additionally, the discussion will feature the combination of high-throughput experiments and machine learning-enhanced computation aimed at improving the mechanical strength of additively manufactured alloys. The talk will specifically focus on experiences gained from research on laser powder bed fusion, directed energy deposition, and wire-arc additive manufacturing.