About this Abstract |
Meeting |
MS&T21: Materials Science & Technology
|
Symposium
|
High Entropy Materials: Concentrated Solid Solutions, Intermetallics, Ceramics, Functional Materials and Beyond II
|
Presentation Title |
Data-enabled Additive Manufacturing of High-entropy Alloys |
Author(s) |
Ganesh Balasubramanian, Praveen Sreeramagiri |
On-Site Speaker (Planned) |
Praveen Sreeramagiri |
Abstract Scope |
Additive manufacturing (AM) techniques, such as laser powder bed fusion (PBF) and direct energy deposition (DED), have emerged as attractive solutions for high-entropy alloy synthesis, albeit with major challenges of their own: (i) Poor fusion of the alloy powder and (ii) formation of cracks resulting from the uneven temperature distribution. In response to these challenges, we present results from a predictive framework correlating processing to structure and properties by coupling findings from computational materials simulations of the alloy melt with uncertainty quantification and experimental validation, geared towards proposing optimal manufacturing parameters to enhance the quality of the additively manufactured alloys.The research generates new knowledge on how diffusion of multiple elements in an alloy melt under rapid cooling contributes to the microstructure and properties of additively manufactured high temperature alloys. The key technology developed lies in a data-informed framework for manufacturing high-entropy materials to fabricate components relevant for on-demand applications. |