 |
|||
| Url | https://cimne.com/sgp/rtd/Project.aspx?id=1020 | ||
|
|||
| Acronym | TOMAT | ||
| Project title | Topology optimization with composite and flexible materials | ||
| Reference | PID2023-153213NA-I00 | ||
| Principal investigator |
Àlex FERRER FERRÉ - aferrer@cimne.upc.edu
Fermin Enrique OTERO GRUER - fotero@cimne.upc.edu |
||
| Start date | 01/09/2024 | End date | 31/08/2027 |
| Coordinator | CIMNE | ||
| Consortium members |
|
||
| Program | P.E. para Impulsar la Investigación Científico-Técnica y su Transferencia | Call | Proyectos Generación de Conocimiento 2023 |
| Subprogram | Subprograma Estatal de Generación de Conocimiento | Category | Nacional |
| Funding body(ies) | MCIU | Grant | $153,750.00 |
| Abstract | Topology optimization (TO) is a powerful engineering design tool that employs computational algorithms to find optimal material distributions in structures, enhancing their structural performance, material efficiency, and cost-effectiveness. It has been closely linked to additive manufacturing (AM) because the latter provides an effective means to manufacture the optimized designs. Yet, current TO techniques is mostly focused on considering isotropic linear elastic materials. Hence, they cannot provide optimized, reliable and manufacturable designs for the latest AM technologies that incorporate advanced materials such as fiber-reinforced composite and rubberlike materials. To realize the full capabilities of AM, it is essential to address the challenges associated with accurately capturing the behavior of diverse and complex materials in TO. TOMAT will pioneer a novel approach for optimizing the topology of manufacturable structures using composite and flexible materials, ensuring alignment with specified structural properties, performance and material criteria, and integration of real-world manufacturing constraints. Importantly, not only must the appropriate constitutive models be considered to accurately represent material response, but also a series of additive manufacturing constraints and their corresponding numerical functionalities should be incorporated. The methodology developed and its resulting designs will have a wide range of applications. However, to showcase its practical relevance and applicability, the project will center on two concrete and illustrative examples linked to actual challenges in industry: Airbus A350 XWB cabin bracket and finger joint implant. | ||
| Proyecto PID2023-153213NA-I00 financiado por MCIU/AEI/10.13039/501100011033/ FEDER, UE | |||