|About this Abstract
||7th World Congress on Integrated Computational Materials Engineering (ICME 2023)
||High-throughput Computation and Process Design for Metal Additive Manufacturing
||Sofia Sheikh, Brent Vela, Pejman Honarmandi, Peter Morcos, David Shoukr, Abdelrahman Mostafa Kotb, Ibrahim Karaman, Alaa Karaman, Raymundo Arroyave
|On-Site Speaker (Planned)
In additive manufacturing (AM),to accelerate the fabrication of porosity-free parts, the optimal processing conditions of a material needs to be determined. The printability of alloys must be surveyed regarding their chemical composition and processing conditions. Since this union of the compositional and processing design spaces are intractable for experimental exploration alone, high-throughput (HTP) computational frameworks are needed to guide the search for highly printable alloys and processing parameters. In this work, various criteria for process-induced defects considered properties predicted using CALPHAD, processing parameters, and melt pool profiles 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 the systematic investigation of the printability of alloy spaces and can be used as a valuable tool in AM-centering alloy design.