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ABSTRACT Fiber composite materials have tremendous potential in architectural applications due to their high strength to weight ratio and their ability to be formed into complex shapes. Novel fabrication processes can be based on the unique affordances and characteristics of fiber composites. Because these materials are lightweight and have high tensile strength, a radically different approach to fabrication becomes possible, which combines low-payload yet long-range machines, such as unmanned aerial vehicles (UAV), with strong, precise, yet limited reach, industrial robots. This collaborative concept enables a scalable fabrication setup for long span fiber composite construction. This paper describes the integrated design process and design development of a large scale cantilevering demonstrator, in which the fabrication setup, robotic constraints, material behavior, and structural performance were integrated in an iterative design process.
Multi Machine Fabrication, Autonomous UAV, Robotic Fabrication, GFRP, Fiber Reinforced Polymers, Additive Fabrication, CFRP, Integrative Design, Lattice Composite Shell
Multi Machine Fabrication, Autonomous UAV, Robotic Fabrication, GFRP, Fiber Reinforced Polymers, Additive Fabrication, CFRP, Integrative Design, Lattice Composite Shell
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 20 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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