|About this Abstract
||2022 TMS Annual Meeting & Exhibition
||Advances in Multi-Principal Elements Alloys X
||Mapping Processibility in the Family of Additive Manufacturing for MPEAs
||Praveen Sreeramagiri, Hengrui Zhang, Wei Chen, Ganesh Balasubramanian
|On-Site Speaker (Planned)
The family of metal additive manufacturing encompasses various processes viz., laser metal deposition (LMD), powder bed fusion (PBF), etc., with unique requirements in terms of materials/processing conditions. However, the transition between processes, i.e., determining the processing conditions needed to reproduce a metal with similar properties on another machine (or using another process), is not straightforward. We propose a model, to help map the process variables between machines/processes. We begin with utilizing the machine constants such as beam diameter and the material dependent energy densities to roughly bridge the process parameters between two processes. Based on a few experiments, our model further calibrates the parameter spaces between processes using statistical analyses. We employ this model to predict the parameter space for laser PBF and validate our results using AlxCoCrFeNi MPEA as a test bed.
||Additive Manufacturing, High-Entropy Alloys, Modeling and Simulation