A Novel Approach to Predict the Process-Induced Mechanical Behavior of Additively Manufactured Materials

Abstract The grain structure and texture of additively manufactured materials depend strongly on the local temperature gradients during solidification material. These structures textures influence mechanical behavior, ranging from isotropy to transversal orthotropic symmetry. In present contribution, a cellular automaton is used model growth selective electron beam melting. resulting serve as input for mesoscopic model. behavior mesoscale modeled by means gradient-enhanced crystal plasticity, applying finite element method. Computational homogenization applied determine macroscopic elastic plastic properties metals. A general yield criterion identified initial loci computed with simulations representative volume elements. numerical results are partly validated experimental data.