Percolation, dispersion and structure-conductivity relationships in carbon black nanocomposites

POSTER

Abstract

The dielectric and the mechanical frequency spectra for carbon black nanocomposites is tied to their complex multi-hierarchical structure. The structure is influenced by interfacial chemistry and accumulated strain. These factors can be quantified using the second virial coefficient. The effective interaction between filler and polymer leads to local clusters and a global network structure. In the linear viscoelastic regime, this local network dictates the high-frequency dynamic response. These clusters percolate on the macroscopic scale mitigated by the accumulated strain in the mixing process and impact the electrical conductivity as well as the gel-like dynamic response at low frequencies. The impact of the multi-hierarchical network structure on the dielectric and mechanical spectra will be described.

*NSF CMMI- 1635865, 1636036
APS, Argonne National Lab DOE DE-AC02-06CH11357

Presenters

  • Kabir Rishi

    • Chemical and Materials Engineering, University of Cincinnati
    • University Of Cincinnati
    • Dept. Chem. and Mat. Eng., University of Cincinnati
    • University of Cincinnati

Authors

  • Kabir Rishi

    • Chemical and Materials Engineering, University of Cincinnati
    • University Of Cincinnati
    • Dept. Chem. and Mat. Eng., University of Cincinnati
    • University of Cincinnati

  • Ashish Gogia

    • University of Dayton Research Institute
    • University of Dayton Research Institute, 1700 Curran Place, Dayton, OH 45409-0170
    • University of Dayton

  • Xuemei Cui

    • University Of Cincinnati

  • Greg Beaucage

    • Chemical and Materials Engineering, University of Cincinnati
    • University Of Cincinnati
    • Dept. Chem. and Mat. Eng., University of Cincinnati
    • University of Cincinnati

  • Vikram K Kuppa

    • University of Dayton Research Institute
    • University of Dayton Research Institute, 1700 Curran Place, Dayton, OH 45409-0170

  • Jitendra Kumar

    • University of Dayton Research Institute