Reconfigurable interlocking furniture

Peng Song, Chi Wing Fu, Yueming Jin, Hongfei Xu, Ligang Liu, Pheng Ann Heng, Daniel Cohen-Or

Research output: Contribution to journalConference articlepeer-review

Abstract

Reconfigurable assemblies consist of a common set of parts that can be assembled into different forms for use in different situations. Designing these assemblies is a complex problem, since it requires a compatible decomposition of shapes with correspondence across forms, and a planning of well-matched joints to connect parts in each form. This paper presents computational methods as tools to assist the design and construction of reconfigurable assemblies, typically for furniture. There are three key contributions in this work. First, we present the compatible decomposition as a weakly-constrained dissection problem, and derive its solution based on a dynamic bipartite graph to construct parts across multiple forms; particularly, we optimize the parts reuse and preserve the geometric semantics. Second, we develop a joint connection graph to model the solution space of reconfigurable assemblies with part and joint compatibility across different forms. Third, we formulate the backward interlocking and multi-key interlocking models, with which we iteratively plan the joints consistently over multiple forms. We show the applicability of our approach by constructing reconfigurable furniture of various complexities, extend it with recursive connections to generate extensible and hierarchical structures, and fabricate a number of results using 3D printing, 2D laser cutting, and woodworking.

Original languageEnglish
Article numbera174
JournalACM Transactions on Graphics
Volume36
Issue number6
DOIs
StatePublished - 20 Nov 2017
EventACM SIGGRAPH Asia Conference, SA 2017 - Bangkok, Thailand
Duration: 27 Nov 201730 Nov 2017

Keywords

  • Co-analysis
  • Computational design
  • Dissection
  • Furniture assembly
  • Joints
  • Mechanical interlocking
  • Reconfigurable

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