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Erschienen in: Progress in Additive Manufacturing 2/2019

16.08.2018 | Full Research Article

Topology optimization and additive manufacturing for aerospace components

verfasst von: Laura Berrocal, Rosario Fernández, Sergio González, Antonio Periñán, Santos Tudela, Jorge Vilanova, Luis Rubio, Jose Manuel Martín Márquez, Javier Guerrero, Fernando Lasagni

Erschienen in: Progress in Additive Manufacturing | Ausgabe 2/2019

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Abstract

One of the main challenges for the aerospace industry nowadays lies in weight reduction of aircraft components without compromising their structural functionalities. With that goal, structural and topology optimization show up as a combination of design and modelling techniques. Based on the finite element method (FEM), component optimization consists of removing material which is dispensable, keeping proper functioning of the modelled part. The result is an optimized geometry, usually with a complex shape, which is possible to manufacture thanks to additive manufacturing (AM) technologies. In this paper, the topological optimization methodology has been used to redesign the following components: (1) a connector support of the VEGA space launcher, (2) a typical lever component from civil aircrafts and (3) housing part from fan cowl structures. In all of the cases, a significant weight reduction has been reached without major impact on their mechanical behaviour. Finally, components (1) and (2) were manufactured by laser beam melting (LBM) technology to demonstrate the possibility of the couple, optimization and AM concepts, as a way to improve the future aerospace structures.

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Metadaten
Titel
Topology optimization and additive manufacturing for aerospace components
verfasst von
Laura Berrocal
Rosario Fernández
Sergio González
Antonio Periñán
Santos Tudela
Jorge Vilanova
Luis Rubio
Jose Manuel Martín Márquez
Javier Guerrero
Fernando Lasagni
Publikationsdatum
16.08.2018
Verlag
Springer International Publishing
Erschienen in
Progress in Additive Manufacturing / Ausgabe 2/2019
Print ISSN: 2363-9512
Elektronische ISSN: 2363-9520
DOI
https://doi.org/10.1007/s40964-018-0061-3

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