Multicriteria optimization of 3D printed wing using PLA reinforced with carbon fiber

David Bassir (1, 2) , Hao Yue (1) , Khaoula Abouzaid (3) , Patrice Salzenstein (4)

1 CB - CB - Centre Borelli - UMR 9010
2 UTBM - Université de Technologie de Belfort-Montbeliard
3 ICB - Laboratoire Interdisciplinaire Carnot de Bourgogne
4 FEMTO-ST - Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174)

The purpose of this work is the optimal conception of a wing built using fused deposition modeling (FDM), which is one of the main additive manufacturing (AM) process. PLA reinforced with carbon fiber was selected for the filament as we have defined their mechanical properties in previous work. The optimization approach use hybrid strategy based on surface response method with kriging model and a heuristic method to avoid to be trapped in local minimization/maximization. The objective functions for this optimization are the weight, the drag (functions to minimize) and the lift (function to maximize) with respect to the failure criteria of the composite material used to build the fuselage. The challenge for this kind of optimization is the multilevel aspect, as it requires firstly to get the optimal parameters of the model before getting the optimal distribution of thicknesses.

Domains: Mathematics [math]; Engineering Sciences [physics]

David Bassir, Hao Yue, Khaoula Abouzaid, Patrice Salzenstein. Multicriteria optimization of 3D printed wing using PLA reinforced with carbon fiber. 19th International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2021), Sep 2021, Rhode, Greece. ⟨hal-03670519⟩