Spec2Fab : a reducer-tuner model for translating specifications to 3D prints
Name
868333827-MIT.pdf
Description
Full printable version
Size
4.73 MB
Format
Adobe PDF
Checksum (MD5)
fbfe05a47bb5aceb87b311cfc46b19b4
Author(s)
Chen, Desai
Advisor(s)
Wojciech Matusik.
Alternative Title
Reducer-tuner model for translating specifications to 3D prints
Date Issued
2013
Publisher
Massachusetts Institute of Technology
Abstract
Multi-material 3D printing allows objects to be composed of complex, heterogeneous 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 fabricable 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 research, I propose an abstraction mechanism that simplifies the design, development, implementation, and reuse of these algorithms. The 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. I provide an application programming interface for specifying the desired object and for defining parameters for the reducer tree and tuner network. I illustrate the utility of my new framework by implementing several fabrication algorithms as well as demonstrating the manufactured results.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 42-45).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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reproduction or distribution in any format is prohibited without written
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