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Erschienen in: The International Journal of Advanced Manufacturing Technology 3-4/2021

23.11.2020 | ORIGINAL ARTICLE

Many-objective optimization of build part orientation in additive manufacturing

verfasst von: Marina A. Matos, Ana Maria A. C. Rocha, Lino A. Costa

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 3-4/2021

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Abstract

Additive manufacturing is the process of building a three-dimensional object from a computer-aided design model, by successively adding material layer-by-layer. This technology allows to print complex shape objects and is being rapidly adopted throughout the aircraft industry, medical implants, jewelry, footwear industry, automotive industry, and fashion products. The build orientation of 3D objects has a strong influence on many quality characteristics. In this paper, a many-objective approach is applied to the Fin model, using the NSGA-II algorithm to optimize four conflicting objective functions regarding the need for support structures, the build time, the surface roughness, and the overall quality of the surface. First, a bi-objective optimization is performed for each couple of two objectives and some representative solutions are identified. However, when applying many-objective optimization to the four objective functions simultaneously, some more orientation angles are found as good optimal solutions. Visualization tools are used to inspect the relationships and the trade-offs between the objectives. Then, the decision-maker can choose which orientation angles are more favorable according to his/her preferences. The optimal solutions found confirmed the effectiveness of the proposed approach.

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Metadaten
Titel
Many-objective optimization of build part orientation in additive manufacturing
verfasst von
Marina A. Matos
Ana Maria A. C. Rocha
Lino A. Costa
Publikationsdatum
23.11.2020
Verlag
Springer London
Erschienen in
The International Journal of Advanced Manufacturing Technology / Ausgabe 3-4/2021
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-020-06369-5

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