A Rule-Based Parametric Workflow for Tessellation-Based 3D-Printed Textile Textures: A Haptic-Relevant Design Exploration
DOI:
https://doi.org/10.64509/jdi.11.52Keywords:
Parametric Design, Rule-based Parametric Workffow, Computational Design, Digital Fabrication, 3D-Printed Textile Textures, Tessellation-based PatternsAbstract
Quadrilateral-based continuous textile patterns are well suited to large-scale fabrication as rhythmic surface effects can be produced through repetition, translation and rotation. This paper presents a rule-based parametric design workflow for three-dimensional (3D)-printed textile textures based on tessellation patterns with continuous geometric properties that was developed through shape grammar principles and implemented in the Grasshopper visual programming environment. During testing, the workflow demonstrated how a square-based geometric primitive—defined here as a planar base unit with edge-to-edge continuity suitable for tessellation construction—can be systematically transformed into tessellated textile textures through parametric rules and form, forming a reproducible digital-to-physical pipeline from algorithmic generation to physical realisation. The square primitive was employed as an exemplar case due to its geometric clarity, while the underlying shape grammar rules and parametric operations were not restricted to a specific geometry and could have been extended to alternative planar primitives. The study focused on the integration of geometric rule definition, parametric variation and fabrication constraints within textile-integrated fused deposition modelling (FDM). Physical validation was therefore limited to printability, material feasibility and structural coherence using thermoplastic polyurethane (TPU) rather than empirical evaluation of tactile perception. Within this scope, haptic qualities were addressed as design-relevant dimensions embedded in geometric variation and fabrication parameters. Key parametric variables, which were defined through a set of explicitly structured geometric and fabrication parameters, provided a reproducible basis for future physical and perceptual evaluation. The contribution of this work lies in establishing a fabrication-aware, rule-based parametric workflow that bridges computational design logic and digital textile fabrication.
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