Fast-throughput simulations of laser-based additive manufacturing in metals to study the influence of processing parameters on mechanical properties.

ABSTRACT: Laser-powder bed fusion additive manufacturing (LPBF-AM) of metals is rapidly becoming one of the most important materials processing pathways for next-generation metallic parts and components in a number of important applications. However, the large parametric space that characterizes laser-based LPBF-AM makes it challenging to understand what are the variables controlling the microstructural and mechanical property outcomes. Sensitivity studies based on direct LPBF-AM processing are costly and lengthy to conduct, and are subjected to the specifications and variability of each printer. Here we develop a fast-throughput numerical approach that simulates the LPBF-AM process using a cellular automaton model of dynamic solidification and grain growth. This is accompanied by a polycrystal plas

SUBMITTER: McElfresh C 

PROVIDER: S-EPMC10758852 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature