TY - CONF
T1 - Computational modeling and experimental characterization of macroscale piezoresistivity in aligned carbon nanotube and fuzzy fiber nanocomposites
AU - Chaurasia, Adarsh K.
AU - Ren, Xiang
AU - Li, Yumeng
AU - Sengezer, Engin C.
AU - Burtony, Josh
AU - Seidelz, Gary D.
N1 - Funding Information:
The authors would like to acknowledge the support of Virginia Tech’s Institute for Critical Technology and Applied Science (ICTAS) through the junior faculty collaborative projects and transformative science and technology program as well as the support provided by AFOSR grant FA9550-12-1-0205 in the Multi-Scale Structural Mechanics and Prognosis Program. In addition, the authors acknowledge support from AFOSR through MURI-18 Synthesis Characterization and Modeling of Functionally Graded Hybrid Composites for Extreme Environments (contract/grant no.:FA-9550-09-0686) and Virginia Tech’s Institute for Critical Technology and Applied Science under a one year seed grant. The authors would like to thank Esstech Inc. for the providing monomers for the acrylate samples.
PY - 2014
Y1 - 2014
N2 - In this study, a multiscale computational micromechanics based approach is developed to study the effect of applied strains on the effective macroscale piezoresistivity of carbon nanotube (CNT)-polymer and fuzzy fiber-polymer nanocomposites. The computational models developed in this study allow for electron hopping and inherent CNT piezoresistivity at the nanoscale in addition to interfacial damage at the CNT-polymer interface. The CNT-polymer nanocomposite is studied at the nanoscale allowing for interfacial damage at the CNT-polymer interface using electromechanical cohesive zones. For fuzzy fiber-polymer nanocomposites, a 3-scale computational model is developed allowing for concurrent coupling of the microscale and nanoscale. The electromechanical boundary value problem is solved using finite elements at each of the scales and the effective electrostatic properties are obtained by using electrostatic energy equivalence. The effective electro- static properties are used to evaluate the relative change in effective resistivity and the macroscale effective gauge factors for the nanocomposites. In addition, the piezoresistive response of aligned CNT-polymer and fuzzy fiber-polymer nanocomposites is investigated experimentally. The results obtained from the computational models are compared to the experimentally observed change in resistance with applied strains and associated gauge factors.
AB - In this study, a multiscale computational micromechanics based approach is developed to study the effect of applied strains on the effective macroscale piezoresistivity of carbon nanotube (CNT)-polymer and fuzzy fiber-polymer nanocomposites. The computational models developed in this study allow for electron hopping and inherent CNT piezoresistivity at the nanoscale in addition to interfacial damage at the CNT-polymer interface. The CNT-polymer nanocomposite is studied at the nanoscale allowing for interfacial damage at the CNT-polymer interface using electromechanical cohesive zones. For fuzzy fiber-polymer nanocomposites, a 3-scale computational model is developed allowing for concurrent coupling of the microscale and nanoscale. The electromechanical boundary value problem is solved using finite elements at each of the scales and the effective electrostatic properties are obtained by using electrostatic energy equivalence. The effective electro- static properties are used to evaluate the relative change in effective resistivity and the macroscale effective gauge factors for the nanocomposites. In addition, the piezoresistive response of aligned CNT-polymer and fuzzy fiber-polymer nanocomposites is investigated experimentally. The results obtained from the computational models are compared to the experimentally observed change in resistance with applied strains and associated gauge factors.
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U2 - 10.2514/6.2014-1168
DO - 10.2514/6.2014-1168
M3 - Paper
AN - SCOPUS:84894501144
T2 - 55th AIAA/ASMe/ASCE/AHS/SC Structures, Structural Dynamics, and Materials Conference - SciTech Forum and Exposition 2014
Y2 - 13 January 2014 through 17 January 2014
ER -