journal article·2022-05Open access

Thermally Drawn Highly Conductive Fibers with Controlled Elasticity

Juliette S. Marion, Nikhil Gupta, Henry Cheung, Kirmina Monir, Polina Anikeeva, Yoel Fink

Advanced Materials· Volume 34· Issue 19

Abstract

Abstract Electronic fabrics necessitate both electrical conductivity and, like any textile, elastic recovery. Achieving both requirements on the scale of a single fiber remains an unmet need. Here, two approaches for achieving conductive fibers (107 S m−1) reaching 50% elongation while maintaining minimal change in resistance (<0.5%) in embedded metallic electrodes are introduced. The first approach involves inducing a buckling instability in a metal microwire within a cavity of a thermally drawn elastomer fiber. The second approach relies on twisting an elastomer fiber to yield helical metal electrodes embedded in a stretchable yarn. The scalability of both approaches is illustrated in apparatuses for continuous buckling and twisting that yield tens of meters of elastic conducting fibers. Through experimental and analytical methods, it is elucidated how geometric parameters, such as buckling pre‐strain and helical angle, as well as materials choice, control not only the fiber's elasticity but also its Young's modulus. Links between mechanical and electrical properties are exposed. The resulting fibers are used to construct elastic fabrics that contain diodes, by weaving and knitting, thus demonstrating the scalable fabrication of conformable and stretchable antennas that support optical data transmission.
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Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Advanced Materials and Mechanics · Nanomaterials and Printing Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Research Laboratory of Electronics Massachusetts Institute of Technology Cambridge MA 02139 USA

Department of Materials Science and Engineering Massachusetts Institute of Technology Cambridge MA 02139 USA

Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA 02139 USA

McGovern Institute for Brain Research Massachusetts Institute of Technology Cambridge MA 02139 USA

Department of Brain and Cognitive Sciences Massachusetts Institute of Technology Cambridge MA 02139 USA

Institute for Soldier Nanotechnologies Massachusetts Institute of Technology Cambridge MA 02139 USA

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