By Cristiano Ceccato (auth.), Cristiano Ceccato, Lars Hesselgren, Mark Pauly, Helmut Pottmann, Johannes Wallner (eds.)
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Transactions of the Newcomen Society, Vol 71, No 1. , AND THERAULAZ, G. 1999. Swarm Intelligence, From Natural to Artificial Systems, New York: Oxford University Press. BURRY, M. 2005, Between intuition and Process: Parametric Design and Rapid Prototyping. In Architecture in the Digital Age: Design and Manufacturing, ed. , Washington DC, Taylor & Francis. , AND COATES, P. 2000, Swarm modelling, The use of Swarm Intelligence to generate architectural form, Proceedings of the International Conference on Generative Art FLAKE, G.
2010] to allow spatially variable kink angle speciﬁcations as opposed to a global maximum kink angle threshold. Figures 10-13 compare the results on manufacturing cost for a global threshold versus two spatially adapted threshold speciﬁcations. The local importance functions are computed based on visibility of the reference surface when moving along the speciﬁed access paths (see Figure 10). For this case study we use metal mold cost ratios as listed in Figure 4. The middle row in Figure 1 shows a paneling solution with 1 global kink angle threshold.
Recent technological advances enable the large-scale production of singleand double-curved panels that allow panelizations of architectural freeform surfaces with superior inter-panel continuity compared to planar panels. However, the fabrication of curved panels incurs a higher cost depending on the complexity of the panel shapes, as well as on the employed material and panel manufacturing process (see Table 1). This gives rise to the so-called paneling task: The approximation of a design surface by a set of panels that can be manufactured using a selected technology at a reasonable cost, while respecting the design intent and achieving the desired aesthetic quality of panel layout and surface smoothness.