4.7 Article

Piezoresistive and Mechanical Characteristics of Graphene Foam Nanocomposites

期刊

ACS APPLIED NANO MATERIALS
卷 2, 期 3, 页码 1402-1411

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsanm.8b02306

关键词

graphene foam nanocomposites; piezoresistivity; energy absorption; pressure sensors; hysteresis performance

资金

  1. Abu Dhabi Education Council (ADEC) [EX2016-000006]
  2. Abu Dhabi National Oil Company (ADNOC) [EX2016-000010]
  3. ARC Training Centre for Automated Manufacture of Advanced Composites [IC160100040]
  4. Commonwealth of Australia under the Australian Research Council's Industrial Transformation Research Program
  5. ADNOC [EX2016-000010]
  6. ADEC [EX2016-000006]

向作者/读者索取更多资源

We report the piezoresistive and mechanical characteristics of three-dimensional (3D) graphene foam (GF)-polydimethylsiloxane (PDMS) nanocomposites processed by a facile two-step approach. A polyurethane (PU) foam with graphene embedded (and aligned) in the pore walls is pyrolyzed and then impregnated with PDMS to form a GF-PDMS nanocomposite, resulting in a slitlike network of graphene embedded in the viscoelastic PDMS matrix. The interconnected graphene network not only imparts excellent electrical conductivity (up to 2.85 S m(-1), the conductivity of PDMS is 0.25 X 10(-13) S m(-1)) to the composite but also enables ultrasensitive piezoresistive behavior. For an applied compressive strain of 10% we report a 99.94% reduction in resistance, with an initial gauge factor of 178, and note that this value is significantly higher than those reported in the literature. Cyclic compression-release tests conducted at different strain amplitudes demonstrate that both the mechanical and piezoresistive responses of the GF-PDMS are fully reversible up to a maximum strain amplitude of 30%. The facile processing, recoverable, and reversible response over 1000 cycles, good hysteresis performance over a range of strain rates, and energy absorption characteristics open new opportunities for GF-PDMS nanocomposites in various applications such as soft robots and human-machine interface technologies.

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