A programmable pipeline for multi-material fabrication
Name
890154363-MIT.pdf
Description
Full printable version
Size
11.06 MB
Format
Adobe PDF
Checksum (MD5)
d817a4fef7222ac7ba34e207fa382f68
Author(s)
Vidimče, Kiril
Advisor(s)
Wojciech Matusik.
Date Issued
2014
Publisher
Massachusetts Institute of Technology
Abstract
3D printing hardware is rapidly scaling up to output continuous mixtures of multiple materials at increasing resolution over ever larger print volumes. This poses an enormous computational challenge: large high-resolution prints comprise trillions of voxels and petabytes of data and simply modeling and describing the input with spatially-varying material mixtures at this scale is challenging. Existing 3D printing software is insufficient; in particular, most software is designed to support only a few million primitives, with discrete material choices per object. In this body of work I present OpenFab, a programmable pipeline for synthesizing multi-material 3D printed objects that is inspired by RenderMan and modern GPU pipelines. The pipeline supports procedural evaluation of geometric detail and material composition by using shader-like fablets. The pipeline allows models to be specified easily and efficiently. Additionally, I describe a streaming architecture for implementing OpenFab; only a small fraction of the final volume is stored in memory and output is fed to the printer with little startup delay. I demonstrate the OpenFab pipeline and programming model on a variety of multi-material objects.
Description
Thesis: S.M. in Computer Science and Engineering, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
42
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 46-51).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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