Reconfigurable interlocking furniture
Reconfigurable interlocking furniture
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DOI：
10.1145/3130800.3130803
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发表时间：
2017-11
期刊：
影响因子：
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通讯作者：
Peng Song;Chi-Wing Fu;Yueming Jin;Hongfei Xu;Ligang Liu;P. Heng;D. Cohen-Or
中科院分区：
文献类型：
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作者：
Peng Song;Chi-Wing Fu;Yueming Jin;Hongfei Xu;Ligang Liu;P. Heng;D. Cohen-Or
可重构组件由一组公共部件组成，这些部件可以组装成不同的形式以用于不同的情况。设计这些组件是一个复杂的问题，因为它需要对不同形式的对应形状进行兼容的分解，并规划好匹配的接头以连接每种形式的零件。本文提出了计算方法作为工具，以协助设计和施工的可重构组件，典型的家具。在这项工作中有三个关键的贡献。首先，我们将相容分解作为一个弱约束的解剖问题，并推导了基于动态二部图的解，以构造跨多种形式的零件；特别地，我们优化了零件的重用性，并保持了几何语义。其次，我们开发了一个关节连接图来建模具有不同形式的零件和关节兼容性的可重构装配体的解空间。第三，建立了反向联锁和多键联锁模型，并利用该模型对多个形式的关节进行了一致的迭代规划。我们通过构建各种复杂性的可重构家具来展示我们方法的适用性，通过递归连接扩展它以生成可扩展和分层结构，并使用3D打印，2D激光切割和木工制造许多结果。
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.