Computational modeling and experimental characterization of macroscale piezoresistivity in aligned carbon nanotube and fuzzy fiber nanocomposites

Adarsh K. Chaurasia; Xiang Ren; Yumeng Li; Engin C. Sengezer; Josh Burtony; Gary D. Seidelz

doi:10.2514/6.2014-1168

Computational modeling and experimental characterization of macroscale piezoresistivity in aligned carbon nanotube and fuzzy fiber nanocomposites

Adarsh K. Chaurasia
, Xiang Ren
, Yumeng Li
, Engin C. Sengezer
, Josh Burtony
, Gary D. Seidelz

Research output: Contribution to conference › Paper › peer-review

Abstract

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.

Original language	English (US)
DOIs	https://doi.org/10.2514/6.2014-1168
State	Published - 2014
Externally published	Yes
Event	55th AIAA/ASMe/ASCE/AHS/SC Structures, Structural Dynamics, and Materials Conference - SciTech Forum and Exposition 2014 - National Harbor, MD, United States Duration: Jan 13 2014 → Jan 17 2014

Other

Other	55th AIAA/ASMe/ASCE/AHS/SC Structures, Structural Dynamics, and Materials Conference - SciTech Forum and Exposition 2014
Country/Territory	United States
City	National Harbor, MD
Period	1/13/14 → 1/17/14

ASJC Scopus subject areas

Civil and Structural Engineering
Mechanics of Materials
Building and Construction
Architecture

Online availability

10.2514/6.2014-1168

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Chaurasia, A. K., Ren, X., Li, Y., Sengezer, E. C., Burtony, J., & Seidelz, G. D. (2014). Computational modeling and experimental characterization of macroscale piezoresistivity in aligned carbon nanotube and fuzzy fiber nanocomposites. Paper presented at 55th AIAA/ASMe/ASCE/AHS/SC Structures, Structural Dynamics, and Materials Conference - SciTech Forum and Exposition 2014, National Harbor, MD, United States. https://doi.org/10.2514/6.2014-1168

Computational modeling and experimental characterization of macroscale piezoresistivity in aligned carbon nanotube and fuzzy fiber nanocomposites. / Chaurasia, Adarsh K.; Ren, Xiang; Li, Yumeng et al.
2014. Paper presented at 55th AIAA/ASMe/ASCE/AHS/SC Structures, Structural Dynamics, and Materials Conference - SciTech Forum and Exposition 2014, National Harbor, MD, United States.

Research output: Contribution to conference › Paper › peer-review

Chaurasia, AK, Ren, X, Li, Y, Sengezer, EC, Burtony, J & Seidelz, GD 2014, 'Computational modeling and experimental characterization of macroscale piezoresistivity in aligned carbon nanotube and fuzzy fiber nanocomposites', Paper presented at 55th AIAA/ASMe/ASCE/AHS/SC Structures, Structural Dynamics, and Materials Conference - SciTech Forum and Exposition 2014, National Harbor, MD, United States, 1/13/14 - 1/17/14. https://doi.org/10.2514/6.2014-1168

Chaurasia AK, Ren X, Li Y, Sengezer EC, Burtony J, Seidelz GD. Computational modeling and experimental characterization of macroscale piezoresistivity in aligned carbon nanotube and fuzzy fiber nanocomposites. 2014. Paper presented at 55th AIAA/ASMe/ASCE/AHS/SC Structures, Structural Dynamics, and Materials Conference - SciTech Forum and Exposition 2014, National Harbor, MD, United States. doi: 10.2514/6.2014-1168

Chaurasia, Adarsh K. ; Ren, Xiang ; Li, Yumeng et al. / Computational modeling and experimental characterization of macroscale piezoresistivity in aligned carbon nanotube and fuzzy fiber nanocomposites. Paper presented at 55th AIAA/ASMe/ASCE/AHS/SC Structures, Structural Dynamics, and Materials Conference - SciTech Forum and Exposition 2014, National Harbor, MD, United States.

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title = "Computational modeling and experimental characterization of macroscale piezoresistivity in aligned carbon nanotube and fuzzy fiber nanocomposites",

abstract = "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.",

author = "Chaurasia, \{Adarsh K.\} and Xiang Ren and Yumeng Li and Sengezer, \{Engin C.\} and Josh Burtony and Seidelz, \{Gary D.\}",

note = "The authors would like to acknowledge the support of Virginia Tech{\textquoteright}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{\textquoteright}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.; 55th AIAA/ASMe/ASCE/AHS/SC Structures, Structural Dynamics, and Materials Conference - SciTech Forum and Exposition 2014 ; Conference date: 13-01-2014 Through 17-01-2014",

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doi = "10.2514/6.2014-1168",

language = "English (US)",

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AU - Li, Yumeng

AU - Sengezer, Engin C.

AU - Burtony, Josh

AU - Seidelz, Gary D.

N1 - 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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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 -

Computational modeling and experimental characterization of macroscale piezoresistivity in aligned carbon nanotube and fuzzy fiber nanocomposites

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