| Abstract Scope |
Additive manufacturing becomes critical in advanced materials processing, allowing us to produce complex shape components. This study presents a novel approach to alloy design for additive manufacturing in resource-constrained environments. Utilizing a mixture of commercially available stainless steel 316L and Inconel 718 powders, the research demonstrates the creation of a functionally graded alloy through directed energy deposition. Post-heat treatment processes are optimized using Calphad-based ICME modeling, resulting in an alloy with properties comparable or superior to pure Inconel 718 at a reduced cost. A high-throughput heat treatment method is introduced, significantly accelerating design and optimization. This approach, combined with machine learning, offers a powerful pathway for rapid alloy development in additive manufacturing, particularly in resource-limited scenarios. The findings suggest this method can accelerate alloy design, enabling cost-effective, customized solutions for challenging environments while maintaining or enhancing material properties. |