3D-Printed Wood: Programming Hygroscopic Material Transformations

Rapid advances in digital fabrication technologies and new materials development allow for direct control and programmability of physical material transformations. By utilizing multimaterial 3D printing technologies and anisotropic material compositions, we can physically program hygroscopic materia...

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Bibliographic Details
Main Authors: Correa, David, Reichert, Steffen, Menges, Achim, Papadopoulou, Athina, Guberan, Christopher, Jhaveri, Nynika, Tibbits, Skylar
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Mary Ann Liebert, Inc. 2016
Online Access:http://hdl.handle.net/1721.1/104845
https://orcid.org/0000-0003-3569-9512
Description
Summary:Rapid advances in digital fabrication technologies and new materials development allow for direct control and programmability of physical material transformations. By utilizing multimaterial 3D printing technologies and anisotropic material compositions, we can physically program hygroscopic materials such as wood to precisely sense and self-transform based on fluctuations in the environment. While wood remains one of the most common building materials in use today, it is still predominantly designed to be industrially standardized rather than taking advantage of its inherent anisotropic properties. This research aims to enhance wood's anisotropic and hygroscopic properties by designing and 3D printing custom wood grain structures to promote tunable self-transformation. In this article we present new methods for designing hygroscopic wood transformations and custom techniques for energy activation. A differentiated printing method promotes wood transformation solely through the design of custom-printed wood fibers. Alternatively, a multimaterial printing method allows for greater control and intensified wood transformations through the precise design of multimaterial prints composed of both synthetic wood and polymers. The presented methods, techniques, and material tests demonstrate the first successful results of differentiated printed wood for self-transforming behavior, suggesting a new approach for programmable material and responsive architectures.