Data-Driven Material Modeling with Functional Advection for 3D Printing of Materially Heterogeneous Objects
Author(s)
Bader, Christoph; Kolb, Dominik; Weaver, James C.; Oxman, Neri![Thumbnail](/bitstream/handle/1721.1/109999/Bader-2016-Data-Driven%20Material.pdf.jpg?sequence=4&isAllowed=y)
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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.
Date issued
2016-06Department
Massachusetts Institute of Technology. Media LaboratoryJournal
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
ISSN
2329-7662
2329-7670