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Fiber-reinforced composites offer innovative solutions for architectural applications with high strength and low weight. Coreless filament winding extends industrial processes, reduces formwork, and allows for tailoring of fiber layups to specific requirements. A previously developed computational co-design framework for coreless filament winding is extended toward the integration of reciprocal design feedback to maximize design flexibility and inform design decisions throughout the process. A multi-scalar design representation is introduced, representing fiber structures at different levels of detail to generate feedback between computational design, engineering, and fabrication. Design methods for global, component, and material systems are outlined and feedback generation is explained. Structural and fabrication feedback are classified, and their integration is described in detail. This paper demonstrates how reciprocal feedback allows for co-evolution of domains of expertise and extends the existing co-design framework toward design problems. The developed methods are shown in two case studies at a global and component scale. [ABSTRACT FROM AUTHOR]

The linear design workflow for structural systems, involving a multitude of iterative loops and specialists, obstructs disruptive innovations. During design iterations, vast amounts of data in different reference systems, origins, and significance are generated. This data is often not directly comparable or is not collected at all, which implies a great unused potential for advancements in the process. In this paper, a novel workflow to process and analyse the data sets in a unified reference frame is proposed. From this, differently sophisticated iteration loops can be derived. The developed methods are presented within a case study using coreless filament winding as an exemplary fabrication process within an architectural context. This additive manufacturing process, using fiber-reinforced plastics, exhibits great potential for efficient structures when its intrinsic parameter variations can be minimized. The presented method aims to make data sets comparable by identifying the steps each data set needs to undergo (acquisition, pre-processing, mapping, post-processing, analysis, and evaluation). These processes are imperative to provide the means to find domain interrelations, which in the future can provide quantitative results that will help to inform the design process, making it more reliable, and allowing for the reduction of safety factors. The results of the case study demonstrate the data set processes, proving the necessity of these methods for the comprehensive inter-domain data comparison. [ABSTRACT FROM AUTHOR]

Recent advances in Automated Fiber Placement (AFP) and Filament Winding (FM) are driving steady improvements in technological understanding, enabling the production of more precise, cost- and material-efficient layups that pave the way for new applications. Evolving from automated Tape Laying Technology (ATL), AFP is a technology that not only mimics the manual laying process but also allows tailored fiber and tow alignment to deliver load-optimized patterns, stacking sequences and part structures leading to improved mechanical performance and significant waste reduction. The filament winding evolution towards automated Robotic Filament Winding put the technology in a position to manufacture highly complex lightweight structures in architecture. In this short review, recent developments in both automated fiber alignment technologies are presented and discussed, including the main advantages and materials used. Regarding the ATL and AFP process, developments in non-aerospace applications are considered. Besides a short overview of new placement technologies, advances in Tailored Fiber Placement (TFP) in the field of dry fiber placement are reported. Finally, new robotic filament winding applications in free-form and Coreless Filament Winding (CFW) in architecture are presented. [ABSTRACT FROM AUTHOR]