ABSTRACT
Additive manufacturing (AM) uses modeling and simulation to understand the process and detect any problems that may arise. Control of these processes helps to achieve desired mechanical properties and other important variables. The development of an accurate predictive model for AM is very complicated due to the coupling between various physical processes, numerous process parameters, and hard to measure materials' properties and boundary conditions required for modeling. Microstructural and property models are still in the research and development stage even for more mature conventional manufacturing processes such as casting and forging, which have a simpler thermomechanical processing history than AM processes. Material envelopes can be reduced again with a good thermomechanical model which can predict distortions after final machining. A sensitivity analysis is needed to account for various sources of uncertainty inherent in materials' behavior, manufacturing processes, models, and so on, to arrive at a robust control strategy to ensure minimal variability in the component characteristics.
