Print Email Facebook Twitter Topology optimisation for large-scale additive manufacturing Title Topology optimisation for large-scale additive manufacturing: generating designs tailored to the deposition nozzle size Author Fernández, E. (Universite de Liege) Ayas, C. (TU Delft Computational Design and Mechanics) Langelaar, M. (TU Delft Computational Design and Mechanics) Duysinx, P. (Universite de Liege) Date 2021 Abstract Additive Manufacturing (AM) processes intended for large-scale components deposit large volumes of material to shorten process duration. This reduces the resolution of the AM process, which is typically defined by the deposition nozzle size. If the resolution limitation is not considered when designing for Large-Scale Additive Manufacturing (LSAM), difficulties can arise in the manufacturing process, which may require the adaptation of deposition parameters. This work incorporates the nozzle size constraint into Topology Optimisation (TO) in order to generate optimised designs suitable to the process resolution. This article proposes and compares two methods, which are based on existing TO techniques that enable control of minimum and maximum member size, and of minimum cavity size. The first method requires the minimum and maximum member size to be equal to the deposition nozzle size, thus design features of uniform width are obtained. The second method defines the size of solid members sufficiently small for the resulting structure to resemble a structural skeleton, which can be interpreted as the deposition path. Through filtering and projection techniques, the thin structures are thickened according to the chosen nozzle size. Thus, a topology tailored to the deposition nozzle size is obtained along with a deposition proposal. The methods are demonstrated and assessed using 2D and 3D benchmark problems. Subject design for AMmaximum sizeNozzle sizetopology optimisationWAAM To reference this document use: http://resolver.tudelft.nl/uuid:683d63a6-f971-4186-96ad-cbcd6b795d29 DOI https://doi.org/10.1080/17452759.2021.1914893 Embargo date 2022-04-26 ISSN 1745-2759 Source Virtual and Physical Prototyping, 16 (2), 196-220 Bibliographical note Accepted Author Manuscript Part of collection Institutional Repository Document type journal article Rights © 2021 E. Fernández, C. Ayas, M. Langelaar, P. Duysinx Files PDF Fernandez_2021.pdf 14.49 MB Close viewer /islandora/object/uuid:683d63a6-f971-4186-96ad-cbcd6b795d29/datastream/OBJ/view