Spec2Fab

Abstract

Multi-material 3D printing allows objects to be composed of complex, heterogenous arrangements of materials. It is often more natural to define a functional goal than to define the material composition of an object. Translating these functional requirements to fabri-cable 3D prints is still an open research problem. Recently, several specific instances of this problem have been explored (e.g., appearance or elastic deformation), but they exist as isolated, monolithic algorithms. In this paper, we propose an abstraction mechanism that simplifies the design, development, implementation, and reuse of these algorithms. Our solution relies on two new data structures: a reducer tree that efficiently parameterizes the space of material assignments and a tuner network that describes the optimization process used to compute material arrangement. We provide an application programming interface for specifying the desired object and for defining parameters for the reducer tree and tuner network . We illustrate the utility of our framework by implementing several fabrication algorithms as well as demonstrating the manufactured results.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jul 21, 2013
Source ID
10.1145/2461912.2461994

Entities

People

  • David I. W. Levin
  • Desai Chen
  • Piotr Didyk
  • Pitchaya Sitthi-amorn
  • Wojciech Matusik

Organizations

  • Defense Advanced Research Projects Agency
  • Division of Computing and Communication Foundations
  • Division of Information and Intelligent Systems
  • Google
  • Massachusetts Institute of Technology

Tags

Fields of Study

  • Computer science

Readers

  • Integrated Circuit Design and Technology.
  • Operations Research
  • Software Engineering.

Technology Areas

  • Space