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Fecha
2020-09-02
Derechos de acceso
info:eu-repo/semantics/openAccess
Título de la revista
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MDPI

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Resumen
The use of current computer tools in both manufacturing and design stages breaks with the traditional conception of productive process, including successive stages of projection, representation, and manufacturing. Designs can be programmed as problems to be solved by using computational tools based on complex algorithms to optimize and produce more effective solutions. Additivemanufacturing technologies enhance these possibilities by providing great geometric freedom to the materialization phase. This work presents a design methodology for the optimization of parts produced by additive manufacturing and explores the synergies between additive manufacturing, parametric design, and optimization processes to guide their integration into the proposedmethodology. By usingGrasshopper, a visual programming application, a continuous data flowfor parts optimization is defined. Parametric design tools support the structural optimization of the general geometry, the infill, and the shell structure to obtain lightweight designs. Thus, the final shapes are obtained as a result of the optimization process which starts from basic geometries, not from an initial design. The infill does not correspond to pre-established patterns, and its elements are sized in a non-uniform manner throughout the piece to respond to different local loads. Mass customization and Fused Deposition Modeling (FDM) systems represent contexts of special potential for this methodology.
Descripción
The registered version of this article, first published in “Polymers, 12(9), 1–27", is available online at the publisher's website: MDPI, https://doi.org/10.3390/polym12091993
La versión registrada de este artículo, publicado por primera vez en “Polymers, 12(9), 1–27", está disponible en línea en el sitio web del editor: MDPI, https://doi.org/10.3390/polym12091993
Categorías UNESCO
Palabras clave
additive manufacturing, FDM, optimization, parametric design, infill optimization, mass customizing
Citación
García-Dominguez, A., Claver, J., & Sebastián, M. A. (2020). Integration of additive manufacturing, parametric design, and optimization of parts obtained by fused deposition modeling (FDM). a methodological approach. Polymers, 12(9), 1–27. https://doi.org/10.3390/polym12091993
Centro
E.T.S. de Ingenieros Industriales
Departamento
Ingeniería de Construcción y Fabricación
Grupo de investigación
Grupo de innovación
Programa de doctorado
Cátedra
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