APROXIMACIÓN METODOLÓGICA A LA OPTIMIZACIÓN MULTIOBJETIVO DE PIEZAS OBTENIDAS POR IMPRESIÓN 3D

Abstract

This work exposes the main aspects considered during the development of the proposed methodology for the optimization of pieces by 3D printing. From the initial stage of software selection to the final results obtained by simulation and 3D printing of experimental models. By using different solvers for the selected software, Rhinoceros, and embedded in Grasshopper, two workflows were defined. One with only one optimization solver, and another with several hierarchized solvers. Both approaches were applied to a case of study and then compared from different points of view. Topological and multiobjective optimization were integrated in a same process, with a continuous workflow that, in addition, offers great design flexibility.