In the last few years, additive manufacturing (AM) is gradually becoming popular in industrial applications. However, the development is still limited by the current optimization methods largely still based on a “trial and error” approach. Despite its proven effectiveness, this methods has considerable downsides such as high cost for materials and energy along with been a heavily time-consuming method, and especially does not provide a deep understanding of the process. The gradual evolution of computational power, along with the emergence of new methodologies, boosted development of tailored simulations to accelerate the process development and replace the extensive use of “trial and error”.