Details
| Original language | English |
|---|---|
| Pages (from-to) | 600-605 |
| Number of pages | 6 |
| Journal | Procedia CIRP |
| Volume | 104 |
| Early online date | 26 Nov 2021 |
| Publication status | Published - 2021 |
| Event | 54th CIRP Conference on Manufacturing Ssystems, CMS 2021 - Patras, Greece Duration: 22 Sept 2021 → 24 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.
Keywords
- additive manufacturing in construction, concrete printing, FEM modeling, path optimization, path planning
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: Procedia CIRP, Vol. 104, 2021, p. 600-605.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Approach to an optimized printing path for additive manufacturing in construction utilizing FEM modeling
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)
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - additive manufacturing in construction
KW - concrete printing
KW - FEM modeling
KW - path optimization
KW - path planning
UR - http://www.scopus.com/inward/record.url?scp=85121624580&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2021.11.101
DO - 10.1016/j.procir.2021.11.101
M3 - Conference article
AN - SCOPUS:85121624580
VL - 104
SP - 600
EP - 605
JO - Procedia CIRP
JF - Procedia CIRP
SN - 2212-8271
T2 - 54th CIRP Conference on Manufacturing Ssystems, CMS 2021
Y2 - 22 September 2021 through 24 September 2021
ER -