Details
| Original language | English |
|---|---|
| Title of host publication | Towards Radical Regeneration |
| Subtitle of host publication | Design Modelling Symposium Berlin 2022 |
| Publisher | Springer International Publishing AG |
| Pages | 269-282 |
| Number of pages | 14 |
| ISBN (electronic) | 9783031132490 |
| ISBN (print) | 9783031132483 |
| Publication status | Published - 18 Sept 2022 |
Abstract
Winding processes are known from the fiber composite industry for strength and weight optimized lightweight components. To achieve high resistance and low weight, mainly synthetic materials are used such as carbon or glass fibers, bonded with petrochemical matrices. For the construction industry, these additive processes present a very promising and resource-efficient building technology, yet they are still hardly used with sustainable materials such as natural fibers or timber. The 3DWoodWind research prototype has developed a new generation of additive technologies to wood construction. The modular building system is built with a three-dimensional robotic winding process for material-efficient hollow lightweight components. An AI-controlled design logic enables the intelligent combination and design of modular components into multi-story structures, which may be used in the future to substitute solid wood panels and beams as well as concrete slabs and steel sections. Our current research uses a continuous strip of thin timber veneer, which is a waste product from the plywood industry and therefore, presents a highly sustainable alternative to synthetic fibers usually used in winding, as well as solid timber products known in construction. The veneer's natural fibers are intact and continuous, and offer high tensile strength. In the presented project, three-dimensional winding processes were developed for material-efficient lightweight components made of wood. The demonstrator presents a modular column and ceiling system, which aims at large scale applications in multi-level structures. Having won an open national design competition for Germany's 'ZukunftBau' Pavilion, a first demonstrator is currently being built to be presented in May 2022, as part of the DigitalBau exhibition. The paper discusses all planning engineering and production processes in detail with particular emphasis on the machine-learning algorithm, which was trained during the design process to facilitate design iterations and future planning with this component-based building system.
Keywords
- Additive manufacturing, FE-modeling, Machine learning, Winding
ASJC Scopus subject areas
- Arts and Humanities(all)
- General Arts and Humanities
- Engineering(all)
- General Engineering
- Computer Science(all)
- General Computer Science
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Towards Radical Regeneration: Design Modelling Symposium Berlin 2022. Springer International Publishing AG, 2022. p. 269-282.
Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review
}
TY - CHAP
T1 - Robotic wood winding for architectural structures-computational design, robotic fabrication and structural modeling methods
AU - Margariti, Georgia
AU - Göbert, Andreas
AU - Ochs, Julian
AU - Eversmann, Philipp
AU - Felita, Felita
AU - Saluz, Ueli
AU - Geyer, Philipp
AU - Lienhard, Julian
PY - 2022/9/18
Y1 - 2022/9/18
N2 - Winding processes are known from the fiber composite industry for strength and weight optimized lightweight components. To achieve high resistance and low weight, mainly synthetic materials are used such as carbon or glass fibers, bonded with petrochemical matrices. For the construction industry, these additive processes present a very promising and resource-efficient building technology, yet they are still hardly used with sustainable materials such as natural fibers or timber. The 3DWoodWind research prototype has developed a new generation of additive technologies to wood construction. The modular building system is built with a three-dimensional robotic winding process for material-efficient hollow lightweight components. An AI-controlled design logic enables the intelligent combination and design of modular components into multi-story structures, which may be used in the future to substitute solid wood panels and beams as well as concrete slabs and steel sections. Our current research uses a continuous strip of thin timber veneer, which is a waste product from the plywood industry and therefore, presents a highly sustainable alternative to synthetic fibers usually used in winding, as well as solid timber products known in construction. The veneer's natural fibers are intact and continuous, and offer high tensile strength. In the presented project, three-dimensional winding processes were developed for material-efficient lightweight components made of wood. The demonstrator presents a modular column and ceiling system, which aims at large scale applications in multi-level structures. Having won an open national design competition for Germany's 'ZukunftBau' Pavilion, a first demonstrator is currently being built to be presented in May 2022, as part of the DigitalBau exhibition. The paper discusses all planning engineering and production processes in detail with particular emphasis on the machine-learning algorithm, which was trained during the design process to facilitate design iterations and future planning with this component-based building system.
AB - Winding processes are known from the fiber composite industry for strength and weight optimized lightweight components. To achieve high resistance and low weight, mainly synthetic materials are used such as carbon or glass fibers, bonded with petrochemical matrices. For the construction industry, these additive processes present a very promising and resource-efficient building technology, yet they are still hardly used with sustainable materials such as natural fibers or timber. The 3DWoodWind research prototype has developed a new generation of additive technologies to wood construction. The modular building system is built with a three-dimensional robotic winding process for material-efficient hollow lightweight components. An AI-controlled design logic enables the intelligent combination and design of modular components into multi-story structures, which may be used in the future to substitute solid wood panels and beams as well as concrete slabs and steel sections. Our current research uses a continuous strip of thin timber veneer, which is a waste product from the plywood industry and therefore, presents a highly sustainable alternative to synthetic fibers usually used in winding, as well as solid timber products known in construction. The veneer's natural fibers are intact and continuous, and offer high tensile strength. In the presented project, three-dimensional winding processes were developed for material-efficient lightweight components made of wood. The demonstrator presents a modular column and ceiling system, which aims at large scale applications in multi-level structures. Having won an open national design competition for Germany's 'ZukunftBau' Pavilion, a first demonstrator is currently being built to be presented in May 2022, as part of the DigitalBau exhibition. The paper discusses all planning engineering and production processes in detail with particular emphasis on the machine-learning algorithm, which was trained during the design process to facilitate design iterations and future planning with this component-based building system.
KW - Additive manufacturing
KW - FE-modeling
KW - Machine learning
KW - Winding
UR - http://www.scopus.com/inward/record.url?scp=85192501136&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-13249-0_23
DO - 10.1007/978-3-031-13249-0_23
M3 - Contribution to book/anthology
AN - SCOPUS:85192501136
SN - 9783031132483
SP - 269
EP - 282
BT - Towards Radical Regeneration
PB - Springer International Publishing AG
ER -