Predicting anisotropic behavior of textured PBF-LB materials via microstructural modeling

Abstract It is well established that large temperature gradients cause strong textures in as-built metal parts manufactured via laser beam powder bed fusion. Columnar grains with a preferred crystallographic orientation dominate the microstructure of such materials resulting pronounced anisotropic mechanical behavior. Such are often studied help tensile tests and corresponding numerical simulations different loading directions. For purpose simulations, usually modeled statistically representative volume element (RVE). In present study, two RVE modeling techniques, based on texture sampling algorithms, have been compared for their property prediction capabilities. was found model, an equally weighted orientations set, sufficiently predicted macroscopic properties also reduced computational cost. Furthermore, efficient method to rotate boundary conditions test under directions developed, thereby reducing required number models just one. The alternate method, where, model rotated subjected unchanged conditions. this simulation results were data from destructive material predominantly single-phase austenitic stainless steel (EN 1.4404/AISI 316L).