|About this Abstract
||3rd World Congress on High Entropy Alloys (HEA 2023)
||High-throughput Computation and Process Design for Metal Additive Manufacturing: Exploring the Fe-Co-Cr-Mn-Ni System as a Case Study
||Sofia Sheikh, Brent Vela, Pejman Honarmandi, Peter Morcos, David Shoukr, Abdelrahman Mostafa Kotb, Raymundo Arroyave, Ibrahim Karaman, Alaa Elwany
|On-Site Speaker (Planned)
High entropy alloys (HEAs) have gained interest for their exceptional properties, while additive manufacturing (AM) enables the fabrication of intricate HEA structures. However, AM exploration of HEAs is limited. Determining optimal processing conditions is crucial to produce defect-free parts. Surveying the printability of alloys in terms of composition and processing is challenging through experiments alone. Thus, high-throughput (HTP) computational frameworks are essential for guiding the search for printable alloys and processing parameters. In this work, various criteria for process-induced defects are considered, properties are predicted using CALPHAD, processing parameters are determined, and melt pool profile are obtained by thermal models. We verify the framework by constructing printability maps for the CoCrFeMnNi system. Furthermore, the framework searches for alloys in the Co-Cr-Fe-Mn-Ni HEA constrained-space to reduce the formation of macroscopic defects. This framework enables systematic investigation of HEA printability and serves as a valuable tool for AM-centered alloy design in HEAs.
||Planned: Metallurgical and Materials Transactions