An efficient approach based on geometrical analysis to optimize AM process

New methodologies of Design for Additive Manufacturing (DFAM) and relative CAx tools are the key enabling technologies allowing to get the major benefits from AM. It is evident that an increased integration of all CAx phases would lead to a more efficient design and engineering workflow. One of the major bottlenecks of such a holistic approach, which affects AM product time-to-market and restricts its commercial exploitation, is the need of a high amount of time and human resources for simulation, modelling and postprocessing of all the engineering activities. That is not always manageable, especially during a preliminary stage of concept design or feasibility analysis. Modern mathematical approaches are facing, with the ambition to contribute to some of the most challenging engineering tasks to fulfil strict requirements of structural resistance, lightness, noise, static and dynamic stiffness. The effectiveness of analytical and geometrical tools and methods for the study and the optimization of shapes were already demonstrated. As an example, it is well known that small fillet radius are stress concentrators and must be avoided for a robust design of structural parts. In the same way, we can demonstrate that poorly uniform temperature distribution of the material during additive layer manufacturing can be correlated with geometrical section areas and variations along the growing axis, as well as with supports shape configurations. In this paper, a novel approach is presented which identifies optimal orientation and support configurations, uniquely based on geometrical criteria. The benefits are avoiding long structures to minimise the amount of waste material, accounting for the distribution of the piece weight, effectively draining the thermal field from all the areas of the piece to the build platform. With FE based macroscale process simulations, it is possible to evidence improved thermal strain distributions of the optimised configuration. As part of the R&D