4.4 Article

Strain Sensing Based on Multiscale Composite Materials Reinforced with Graphene Nanoplatelets

Journal

JOVE-JOURNAL OF VISUALIZED EXPERIMENTS
Volume -, Issue 117, Pages -

Publisher

JOURNAL OF VISUALIZED EXPERIMENTS
DOI: 10.3791/54512

Keywords

Engineering; Issue 117; sensors; graphene nanoplatelets; composites; structural health monitoring; smart materials; biomechanic

Funding

  1. Ministerio de Economia y Competitividad of Spain Government [MAT2013-46695-C3-1-R]
  2. Comunidad de Madrid Government [P2013/MIT-2862]

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The electrical response of NH2-functionalized graphene nanoplatelets composite materials under strain was studied. Two different manufacturing methods are proposed to create the electrical network in this work: (a) the incorporation of the nanoplatelets into the epoxy matrix and (b) the coating of the glass fabric with a sizing filled with the same nanoplatelets. Both types of multiscale composite materials, with an in-plane electrical conductivity of similar to 10(-3) S/m, showed an exponential growth of the electrical resistance as the strain increases due to distancing between adjacent functionalized graphene nanoplatelets and contact loss between overlying ones. The sensitivity of the materials analyzed during this research, using the described procedures, has been shown to be higher than commercially available strain gauges. The proposed procedures for self-sensing of the structural composite material would facilitate the structural health monitoring of components in difficult to access emplacements such as offshore wind power farms. Although the sensitivity of the multiscale composite materials was considerably higher than the sensitivity of metallic foils used as strain gauges, the value reached with NH2-functionalized graphene nanoplatelets coated fabrics was nearly an order of magnitude superior. This result elucidated their potential to be used as smart fabrics to monitor human movements such as bending of fingers or knees. By using the proposed method, the smart fabric could immediately detect the bending and recover instantly. This fact permits precise monitoring of the time of bending as well as the degree of bending.

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