prikaz prve stranice dokumenta Optimization of Generatively Encoded Multi-Material Lattice Structures for Desired Deformation Behavior
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Scientific paper - Original scientific paper
Optimization of Generatively Encoded Multi-Material Lattice Structures for Desired Deformation Behavior
Symmetry, 13 (2021), 2; 1-20. https://doi.org/10.3390/sym13020293
Ćurković, Petar

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Ćurković, P. (2021). Optimization of Generatively Encoded Multi-Material Lattice Structures for Desired Deformation Behavior. Symmetry, 13. (2), 1-20. doi: 10.3390/sym13020293

Ćurković, Petar. "Optimization of Generatively Encoded Multi-Material Lattice Structures for Desired Deformation Behavior." Symmetry, vol. 13, no. 2, 2021, pp. 1-20. https://doi.org/10.3390/sym13020293

Ćurković, Petar. "Optimization of Generatively Encoded Multi-Material Lattice Structures for Desired Deformation Behavior." Symmetry 13, no. 2 (2021): 1-20. https://doi.org/10.3390/sym13020293

Ćurković, P. (2021) 'Optimization of Generatively Encoded Multi-Material Lattice Structures for Desired Deformation Behavior', Symmetry, 13(2), pp. 1-20. doi: 10.3390/sym13020293

Ćurković P. Optimization of Generatively Encoded Multi-Material Lattice Structures for Desired Deformation Behavior. Symmetry [Internet]. 2021 February 09 [cited 2024 September 09];13(2):1-20. doi: 10.3390/sym13020293

P. Ćurković, "Optimization of Generatively Encoded Multi-Material Lattice Structures for Desired Deformation Behavior", Symmetry, vol. 13, no. 2, pp. 1-20, February 2021. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:235:822728. [Accessed: 09 September 2024]

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Metadata
Title (english)Optimization of Generatively Encoded Multi-Material Lattice Structures for Desired Deformation Behavior
AuthorPetar Ćurković
Author's institutionUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Production Mechanical Engineering
Abstract (english)
Natural systems achieve favorable mechanical properties through coupling significantly different elastic moduli within a single tissue. However, when it comes to man-made materials and structures, there are a lack of methods which enable production of artifacts inspired by these phenomena. In this study, a method for design automation based on alternate deposition of soft and stiff struts within a multi-material 3D lattice structure with desired deformation behavior is proposed. These structures, once external forces are applied, conform to the geometry given in advance. For that purpose, a population-based algorithm was proposed and integrated with a multi-material physics simulator. To reduce the amount of data processed during optimization, a generative encoding method based on discrete cosine transform (DCT) was proposed. This enabled a compressed topological description and promoted symmetry in material distribution. The simulation results showed different three-dimensional lattice structures designed with proposed algorithm to meet a set of desired deformation behaviors. The relation between residual deformation error, targeted deformation geometry, and material distribution is discussed.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleSymmetry
Numberingvol. 13, no. 2, pp. 1-20
p-ISSN2073-8994
DOIhttps://doi.org/10.3390/sym13020293
URN:NBNurn:nbn:hr:235:822728
Publication2021-02-09
Document URLhttps://www.mdpi.com/2073-8994/13/2/293
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2024-07-16 07:44:25