Can generative design algorithms accurately account for the non-isotropic (anisotropic) material properties inherent in FDM/MEX 3D printing?

Most commercial generative design systems operate on idealized physics models that assume materials are continuous and perfectly isotropic. However, Fused Deposition Modeling (FDM) creates inherently anisotropic parts where mechanical strength and elongation vary significantly depending on the layer print direction (X, Y, or Z axis). To bridge this gap, researchers are developing tools like Nozzle-Constrained Topology Optimization (NCTO), which incorporates specific manufacturing parameters—like bead spacing and orientation—directly into the generative algorithm to account for anisotropic structural limits.