Parametric chemistry reverse engineering biomaterial composites for additive manufacturing of bio-cement structures across scales
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MediatedMatterGroup_S2MConference_final_12.6.16.pdf
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Author(s) • • • •
Duro-Royo, Jorge
Van Zak, Joshua Jordan
Tai, Y.J.
Ling, A.S.
Oxman, Neri
Date Issued
April 2017
Journal
Proceedings of the International Conference on Sustainable Smart Manufacturing
Publisher
CRC Press
Citation
Duro-Royo, J. et al. "Parametric chemistry reverse engineering biomaterial composites for additive manufacturing of bio-cement structures across scales." Proceedings of the International Conference on Sustainable Smart Manufacturing, October 2016, Lisbon, Portugal, edited by Fernando Moreira da Silva, Helena Maria Bártolo, Paulo Bártolo, Rita Almendra, Filipa Roseta, Henrique Amorim Almeida, Ana Cristina Lemos , CRC Press, April 2017.
Version
Author's final manuscript
Abstract
Motivated by the need to develop novel renewable and biocompatible composites for complex macro-scale structures, and inspired by natural shell, insect cuticles, and plant cell walls, we have developed a multi-material, robotic 3D printing platform and associated computational techniques that leverage the concepts of parametric chemistry and tunable hierarchical structuring for the additive manufacturing of hierarchical biomaterials, in meter-scale forms, with complex geometries. To do so, we have designed and engineered a bio-cement composite using natural and abundant polymers such as chitosan and cellulose. After assessing the chemical, mechanical, and optical properties of this prototypical bio-composite, we utilized these results as inputs to modulate our computational design and robotic fabrication platforms. Doing so has taken us closer to our goal of true Fabrication Information Modelling (FIM), which integrates atomistic material properties to inform large-scale digital fabrication.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1201/9781315198101-39