Additive Manufacturing (AM) offers highest production flexibility and almost unlimited freedom of design. While truly predictive computational modeling approaches are highly desirable to foster digital process chains in part design and qualification, the multi-scale nature inherent to most AM technologies makes process simulation very challenging. This minisymposium focuses on recently developed part-scale simulation techniques in AM, including experimental model calibration and validation. Computational modeling and simulation approaches for any class of AM processes (e.g., laser power bed fusion, electron beam melting, directed energy deposition, binder jetting, material jetting, fused deposition modeling, stereolithography) and materials (e.g. metals, plastics, ceramics, concrete and their composites as well as biological materials), and also for related processes (e.g., laser or electron beam welding), are welcome. Topics of interest for this minisymposium include (but are not limited to): • Simulation of the manufacturing process to predict heat transfer, residual stress, thermal distortion, composition, and microstructure on part-scale • Adaptive discretization strategies, non-standard numerical solution schemes and model order reduction approaches allowing for increased computational efficiency • Physics-based, data-driven, and hybrid approaches • Multi-scale and multi-physics approaches • Thermo-mechanical material modeling including functionally graded materials • Effects of microstructure and defects on mechanical properties • Combined simulation and in-situ monitoring for rapid build qualification • Feedback control for minimizing defects and residual stress in as-built structures • AM-oriented topology optimization including lattice and cellular structures A companion minisymposium “Modeling and Simulation of Additive Manufacturing: Meso- and Microscale Approaches” focuses on simulation approaches on the meso- and microscale.