Flexible Conductive Composites with Programmed Electrical Anisotropy Using Acoustophoresis

Autor: Daniel Gianola, Leanne Friedrich, Matthew R. Begley, Drew S. Melchert, Tyler R. Ray, Rachel R. Collino, Neil D. Dolinski
Rok vydání: 2019
Předmět:
Zdroj: Advanced Materials Technologies. 4:1900586
ISSN: 2365-709X
Popis: 3D printing mechanically flexible composite materials with high electrical conductivity is currently hindered by the need to use high loading of conductive filler, which severely limits flexibility. Here, microstructural patterning of composite materials via acoustophoresis imparts these materials with high conductivity and flexibility simultaneously, filling a technology gap in the field. Acoustophoresis patterns filler particles into highly efficient percolated networks which utilize up to 97\% of the particles in the composite, whereas the inefficient stochastic networks of conventional dispersed-fiber composites utilize $$500 bending cycles without losses in conductivity and changing conductivity only $5$\% within cycles on average (for 2.6v\% composites). In contrast, conventional unpatterned composites with the same conductivity require such high loading that they're prohibitively brittle. Finally, modulating the shape of the applied acoustic fields allows control over the anisotropy of the conductive networks and produces materials which are either 2-D conductive, 1-D conductive, or insulating, all using the same nozzle and ink.
10 pages; 5 figures
Databáze: OpenAIRE