Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | IEEE 20th International Conference on Automation Science and Engineering |
| Untertitel | CASE 2024 |
| Herausgeber (Verlag) | IEEE Computer Society |
| Seiten | 2565-2572 |
| Seitenumfang | 8 |
| ISBN (elektronisch) | 9798350358513 |
| ISBN (Print) | 979-8-3503-5852-0 |
| Publikationsstatus | Veröffentlicht - 28 Aug. 2024 |
| Veranstaltung | 20th IEEE International Conference on Automation Science and Engineering, CASE 2024 - Bari, Italien Dauer: 28 Aug. 2024 → 1 Sept. 2024 |
Publikationsreihe
| Name | IEEE International Conference on Automation Science and Engineering |
|---|---|
| ISSN (Print) | 2161-8070 |
| ISSN (elektronisch) | 2161-8089 |
Abstract
With the advent of concrete additive manufacturing in construction (AMC), three new challenges have arisen in planning, automatizing, and controlling 3D printing processes and systems. Firstly, most manufactured construction components are single-walled elements such as walls, hollow columns, or pillars. In contrast to common design rules for AM processes, these require explicit print path planning with a wall thickness equal to a single layer width. Secondly, the printing materials - fresh concrete, mortar, or earth - provide a protracted time-dependent compressive strength development. This behavior must be explicitly considered during print path design to prevent component collapse caused by excessive compression loads. Thirdly, there is a significant challenge emerging from the required component size. Printing on a building scale level requires large or even mobile on-site printing systems. Such systems generally do not provide an enclosed workspace to protect the printing process from environmental influences. Environmental influences however affect the material behavior while printing, leading to deviations between as-planned and as-built layer geometries.This publication presents a framework tackling the three challenges by incorporating path planning for components with single-layer wall thickness, considering time-dependent material behavior, and compensating for external influences. The framework extends state-of-the-art path planning and printing control approaches to enable automatized robotic additive manufacturing processes in construction. As part of the framework we specifically contribute a path planning algorithm for the 2.5D and 3D production of single-walled components, algorithmic coupling of path planning and FEM simulation to predict and ensure component stability, and an online control approach to compensation for environmental disturbances. The framework was tested by printing a column with a footprint of approximately 1.5 m2 and a height of 2 m using Shotcrete 3D Printing (SC3DP).
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
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IEEE 20th International Conference on Automation Science and Engineering: CASE 2024. IEEE Computer Society, 2024. S. 2565-2572 (IEEE International Conference on Automation Science and Engineering).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Multi-Model based Additive Manufacturing
T2 - 20th IEEE International Conference on Automation Science and Engineering, CASE 2024
AU - Lachmayer, Lukas
AU - Recker, Tobias
AU - Ekanayaka, Virama
AU - Hurkamp, Andre
AU - Raatz, Annika
N1 - Publisher Copyright: © 2024 IEEE.
PY - 2024/8/28
Y1 - 2024/8/28
N2 - With the advent of concrete additive manufacturing in construction (AMC), three new challenges have arisen in planning, automatizing, and controlling 3D printing processes and systems. Firstly, most manufactured construction components are single-walled elements such as walls, hollow columns, or pillars. In contrast to common design rules for AM processes, these require explicit print path planning with a wall thickness equal to a single layer width. Secondly, the printing materials - fresh concrete, mortar, or earth - provide a protracted time-dependent compressive strength development. This behavior must be explicitly considered during print path design to prevent component collapse caused by excessive compression loads. Thirdly, there is a significant challenge emerging from the required component size. Printing on a building scale level requires large or even mobile on-site printing systems. Such systems generally do not provide an enclosed workspace to protect the printing process from environmental influences. Environmental influences however affect the material behavior while printing, leading to deviations between as-planned and as-built layer geometries.This publication presents a framework tackling the three challenges by incorporating path planning for components with single-layer wall thickness, considering time-dependent material behavior, and compensating for external influences. The framework extends state-of-the-art path planning and printing control approaches to enable automatized robotic additive manufacturing processes in construction. As part of the framework we specifically contribute a path planning algorithm for the 2.5D and 3D production of single-walled components, algorithmic coupling of path planning and FEM simulation to predict and ensure component stability, and an online control approach to compensation for environmental disturbances. The framework was tested by printing a column with a footprint of approximately 1.5 m2 and a height of 2 m using Shotcrete 3D Printing (SC3DP).
AB - With the advent of concrete additive manufacturing in construction (AMC), three new challenges have arisen in planning, automatizing, and controlling 3D printing processes and systems. Firstly, most manufactured construction components are single-walled elements such as walls, hollow columns, or pillars. In contrast to common design rules for AM processes, these require explicit print path planning with a wall thickness equal to a single layer width. Secondly, the printing materials - fresh concrete, mortar, or earth - provide a protracted time-dependent compressive strength development. This behavior must be explicitly considered during print path design to prevent component collapse caused by excessive compression loads. Thirdly, there is a significant challenge emerging from the required component size. Printing on a building scale level requires large or even mobile on-site printing systems. Such systems generally do not provide an enclosed workspace to protect the printing process from environmental influences. Environmental influences however affect the material behavior while printing, leading to deviations between as-planned and as-built layer geometries.This publication presents a framework tackling the three challenges by incorporating path planning for components with single-layer wall thickness, considering time-dependent material behavior, and compensating for external influences. The framework extends state-of-the-art path planning and printing control approaches to enable automatized robotic additive manufacturing processes in construction. As part of the framework we specifically contribute a path planning algorithm for the 2.5D and 3D production of single-walled components, algorithmic coupling of path planning and FEM simulation to predict and ensure component stability, and an online control approach to compensation for environmental disturbances. The framework was tested by printing a column with a footprint of approximately 1.5 m2 and a height of 2 m using Shotcrete 3D Printing (SC3DP).
UR - http://www.scopus.com/inward/record.url?scp=85208256597&partnerID=8YFLogxK
U2 - 10.1109/CASE59546.2024.10711326
DO - 10.1109/CASE59546.2024.10711326
M3 - Conference contribution
AN - SCOPUS:85208256597
SN - 979-8-3503-5852-0
T3 - IEEE International Conference on Automation Science and Engineering
SP - 2565
EP - 2572
BT - IEEE 20th International Conference on Automation Science and Engineering
PB - IEEE Computer Society
Y2 - 28 August 2024 through 1 September 2024
ER -