Data-Driven Material Modeling with Functional Advection for 3D Printing of Materially Heterogeneous Objects
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Bader-2016-Data-Driven Material.pdf
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579 KB
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Adobe PDF
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Author(s)
Bader, Christoph
Kolb, Dominik
Weaver, James C.
Oxman, Neri
Date Issued
June 2016
Journal
3D Printing and Additive Manufacturing
Publisher
Mary Ann Liebert, Inc
Citation
Bader, Christoph; Kolb, Dominik; Weaver, James C. and Oxman, Neri. “Data-Driven Material Modeling with Functional Advection for 3D Printing of Materially Heterogeneous Objects.” 3D Printing and Additive Manufacturing 3, no. 2 (June 2016): 71–79 © 2016 Mary Ann Liebert, Inc
Version
Final published version
Abstract
We present a data-driven approach for the creation of high-resolution, geometrically complex, and materially heterogeneous 3D printed objects at product scale. Titled Data-driven Material Modeling (DdMM), this approach utilizes external and user-generated data sets for the evaluation of heterogeneous material distributions during slice generation, thereby enabling the production of voxel-matrices describing material distributions for bitmap-printing at the 3D printer's native voxel resolution. A bitmap-slicing framework designed to inform material property distribution in concert with slice generation is demonstrated. In contrast to existing approaches, this framework emphasizes the ability to integrate multiple geometry-based data sources to achieve high levels of control for applications in a wide variety of design scenarios. As a proof of concept, we present a case study for DdMM using functional advection, and we demonstrate how multiple data sources used by the slicing framework are implemented to control material property distributions.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1089/3dp.2016.0026
