Details
| Original language | English |
|---|---|
| Pages (from-to) | 562-567 |
| Number of pages | 6 |
| Journal | Procedia CIRP |
| Volume | 109 |
| Early online date | 21 Jun 2022 |
| Publication status | Published - 2022 |
| Event | 32nd CIRP Design Conference, CIRP Design 2022 - Gif-sur-Yvette, France Duration: 28 Mar 2022 → 30 Mar 2022 |
Abstract
Additive manufacturing processes show potential and utility in the construction industry by enabling new design freedoms and increasing the degree of automation. Accurate prediction of structural deformations and optimization of process parameters is a crucial consideration to ensure better component quality, reduced test effort and fewer buildability failures. This paper introduces an approach to build a nonlinear model that maps the interlayer waiting time in the building process to the corresponding structural deformation based on FEM results obtained from a process based FEM simulation. The model is utilized to optimize the interlayer waiting time during the printing process using the maximum deformation of the structure as the objective function and the allocated printing time together with the allowed maximum interlayer waiting time as constraints. Finally, the validity of the approach is numerically verified using a test component.
Keywords
- additive manufacturing in construction, concrete printing, constrained optimization, finite element modeling, process optimization
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: Procedia CIRP, Vol. 109, 2022, p. 562-567.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Approach to optimize the interlayer waiting time in additive manufacturing with concrete utilizing FEM modeling
AU - Ekanayaka, Virama
AU - Lachmayer, Lukas
AU - Raatz, Annika
AU - Hürkamp, André
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 support within the SFB/Transregio 277 – Additive manufacturing in construction. (Subproject B04)
PY - 2022
Y1 - 2022
N2 - Additive manufacturing processes show potential and utility in the construction industry by enabling new design freedoms and increasing the degree of automation. Accurate prediction of structural deformations and optimization of process parameters is a crucial consideration to ensure better component quality, reduced test effort and fewer buildability failures. This paper introduces an approach to build a nonlinear model that maps the interlayer waiting time in the building process to the corresponding structural deformation based on FEM results obtained from a process based FEM simulation. The model is utilized to optimize the interlayer waiting time during the printing process using the maximum deformation of the structure as the objective function and the allocated printing time together with the allowed maximum interlayer waiting time as constraints. Finally, the validity of the approach is numerically verified using a test component.
AB - Additive manufacturing processes show potential and utility in the construction industry by enabling new design freedoms and increasing the degree of automation. Accurate prediction of structural deformations and optimization of process parameters is a crucial consideration to ensure better component quality, reduced test effort and fewer buildability failures. This paper introduces an approach to build a nonlinear model that maps the interlayer waiting time in the building process to the corresponding structural deformation based on FEM results obtained from a process based FEM simulation. The model is utilized to optimize the interlayer waiting time during the printing process using the maximum deformation of the structure as the objective function and the allocated printing time together with the allowed maximum interlayer waiting time as constraints. Finally, the validity of the approach is numerically verified using a test component.
KW - additive manufacturing in construction
KW - concrete printing
KW - constrained optimization
KW - finite element modeling
KW - process optimization
UR - http://www.scopus.com/inward/record.url?scp=85133552480&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2022.05.295
DO - 10.1016/j.procir.2022.05.295
M3 - Conference article
AN - SCOPUS:85133552480
VL - 109
SP - 562
EP - 567
JO - Procedia CIRP
JF - Procedia CIRP
SN - 2212-8271
T2 - 32nd CIRP Design Conference, CIRP Design 2022
Y2 - 28 March 2022 through 30 March 2022
ER -