Approach to an optimized printing path for additive manufacturing in construction utilizing FEM modeling

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschungPeer-Review

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  • Technische Universität Braunschweig
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Details

OriginalspracheEnglisch
Seiten (von - bis)600-605
Seitenumfang6
FachzeitschriftProcedia CIRP
Jahrgang104
Frühes Online-Datum26 Nov. 2021
PublikationsstatusVeröffentlicht - 2021
Veranstaltung54th CIRP Conference on Manufacturing Ssystems, CMS 2021 - Patras, Griechenland
Dauer: 22 Sept. 202124 Sept. 2021

Abstract

Based on experiences with common additive manufacturing processes, the application in the construction industry opens up new design freedoms and cost-effective production of complex structures. However, the time-dependent yield strength of fresh concrete leads to deformations of underlying layers during the printing process, especially when using conventional path planning methods in combination with material extrusion or jetting methods. This paper presents a finite element model based approach to minimize the resulting deviations from the target geometry by iteratively adjusting the process parameters according to simulated deformations. To achieve more detailed modelling, the utilized finite element model is derived from the printing path instead of the CAD data.

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Approach to an optimized printing path for additive manufacturing in construction utilizing FEM modeling. / Lachmayer, Lukas; Ekanayaka, Virama; Hürkamp, André et al.
in: Procedia CIRP, Jahrgang 104, 2021, S. 600-605.

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschungPeer-Review

Lachmayer L, Ekanayaka V, Hürkamp A, Raatz A. Approach to an optimized printing path for additive manufacturing in construction utilizing FEM modeling. Procedia CIRP. 2021;104:600-605. Epub 2021 Nov 26. doi: 10.1016/j.procir.2021.11.101
Lachmayer, Lukas ; Ekanayaka, Virama ; Hürkamp, André et al. / Approach to an optimized printing path for additive manufacturing in construction utilizing FEM modeling. in: Procedia CIRP. 2021 ; Jahrgang 104. S. 600-605.
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AU - Lachmayer, Lukas

AU - Ekanayaka, Virama

AU - Hürkamp, André

AU - Raatz, Annika

N1 - Funding Information: The authors gratefully acknowledge the funding by the Deutsche Forschungsgemeinschaft (DFG – German Research Foundation) – Project no. 414265976. The authors would like to thank the DFG for the suppor t within the SFB/Transregio 277 – Additive manufacturing in construction. (Subproject B04)

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