Extrusion process simulation and layer shape prediction during 3D-concrete-printing using the particle finite element method
Publikation: Beitrag in Fachzeitschrift › Forschungsartikel › Beigetragen › Begutachtung
Beitragende
Abstract
Product quality and processing of additively manufactured concrete components strongly depend on the flow processes during material extrusion. To control layer deformations and enable purposeful design, numerical analyses with varying process and material parameters were performed to obtain a deeper understanding of flow processes and forces developing in the vicinity of the nozzle using the Lagrangian-based Particle Finite Element Method in association with a Bingham constitutive model. This model was validated by comparing the simulated layer geometries with those obtained from laboratory 3D-printing experiments. Within the investigated parameter range, the forces generated under the extrusion nozzle can be 6 times higher than those induced by self-weight and may cause deformations in substrate layers. Since the distribution of extrusion forces may change substantially under the nozzle for varying parameters, a novel indicator based on the yielding material is introduced to find optimal 3D-printing parameters to prevent plastic deformations in substrate layers.
Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 104173 |
| Fachzeitschrift | Automation in construction |
| Jahrgang | 136 |
| Publikationsstatus | Veröffentlicht - Apr. 2022 |
| Peer-Review-Status | Ja |
Schlagworte
Forschungsprofillinien der TU Dresden
- Material- und Werkstoffwissenschaften - 3D-concrete-printing, Extrusion forces, Extrusion processes simulation, Layer shape prediction, Particle Finite Element Method, Regularized Bingham model
DFG-Fachsystematik nach Fachkollegium
- Baustoffwissenschaften, Bauchemie, Bauphysik - 3D-concrete-printing, Extrusion forces, Extrusion processes simulation, Layer shape prediction, Particle Finite Element Method, Regularized Bingham model
- Produktionsautomatisierung - 3D-concrete-printing, Extrusion forces, Extrusion processes simulation, Layer shape prediction, Particle Finite Element Method, Regularized Bingham model
Fächergruppen, Lehr- und Forschungsbereiche, Fachgebiete nach Destatis
- Baustofftechnik - 3D-concrete-printing, Extrusion forces, Extrusion processes simulation, Layer shape prediction, Particle Finite Element Method, Regularized Bingham model
- Automatisierungstechnik - 3D-concrete-printing, Extrusion forces, Extrusion processes simulation, Layer shape prediction, Particle Finite Element Method, Regularized Bingham model
Ziele für nachhaltige Entwicklung
- SDG 9 – Industrie, Innovation und Infrastruktur - 3D-concrete-printing, Extrusion forces, Extrusion processes simulation, Layer shape prediction, Particle Finite Element Method, Regularized Bingham model
- SDG 12 – Verantwortungsvoller Konsum und Produktion - 3D-concrete-printing, Extrusion forces, Extrusion processes simulation, Layer shape prediction, Particle Finite Element Method, Regularized Bingham model
ASJC Scopus Sachgebiete
- Steuerungs- und Systemtechnik - 3D-concrete-printing, Extrusion forces, Extrusion processes simulation, Layer shape prediction, Particle Finite Element Method, Regularized Bingham model
- Tief- und Ingenieurbau - 3D-concrete-printing, Extrusion forces, Extrusion processes simulation, Layer shape prediction, Particle Finite Element Method, Regularized Bingham model
- Bauwesen - 3D-concrete-printing, Extrusion forces, Extrusion processes simulation, Layer shape prediction, Particle Finite Element Method, Regularized Bingham model
Schlagwörter
- 3D-concrete-printing, Extrusion forces, Extrusion processes simulation, Layer shape prediction, Particle Finite Element Method, Regularized Bingham model
Bibliotheksschlagworte
- 624 Ingenieurbau - 3D-concrete-printing, Extrusion forces, Extrusion processes simulation, Layer shape prediction, Particle Finite Element Method, Regularized Bingham model
- 691 Baustoffe - 3D-concrete-printing, Extrusion forces, Extrusion processes simulation, Layer shape prediction, Particle Finite Element Method, Regularized Bingham model