We’ve recreated all five pieces of the Curved Space for 3D printing, transforming them into a toy. The goal was to explore the challenges and problems of the structure on a small scale in order to better understand what needs attention when scaling up.
In an effort to advance discrete element aggregation using the Grasshopper3D plugin WASP (and Andrea building new features into it along the way), we are exploring a ‘sequence-based design’ approach and identified Peter Pearce’s Curved Space Diamond Structure as an ideal foundation.
Digital model of Peter Pearce’s Curved Space Diamond StructureContinue reading →
Based on the Sommerville tetrahedron, part systems using multiple compatible types can be created that produce more differentiated complex aggregations.
Fig. 1: Chart from Michael Goldberg, “Three Infinite Families of Tetrahedral Space-Fillers,” Journal of Combinatorial Theory A, 16, pp. 348–354, 1974.Fig. 2: Construction of a Sommervile No. 1 tetrahdron
The particularity here is, that the No. 1 tetrahedron consist of two “brackets” of each 2 triangles with two edges the length of the square root of 3 and one edge length of 2, connected at an right angle at their edges of the length 2.
In an alternative concept for discrete aggregation systems that are based on packed volumes, parts could also be defined as individual faces of a solid. This idea is studied using the faces of rhombic dodecahedrons that can be arranged as a space-filling tesselation.
After aggregating regular tetrahedra following different set of rules these tetra-units are replaced by by various bike-frame cluster modules. Each of these cluster modules is made up of 2-3 bike frames from the scanned set and fitted into a regular tetrahedral container. For this study only copies of one single cluster type are populated throughout the aggregated frameworks replacing the regular tetra-units. This is done assuming that other bike-frames within a certain tolerance range can be used to form the same combinations (possibly with a slightly different clipping at the joint-plate areas). The bigger the inventory of bike frames, the more likely it is to find very similar bike-frames.
Fig.1: Bike Cluster TYPE 12 is used for the first study. Dependening on the bike-frames orientation within one tetrahedral cell informed by the respective connection logic (from left to right: face to face, edge to edge, vertex to vertex) the amount of “empty space” locally within one unit varies immensely.