In this paper, the effective elastic properties of carbon nanotube-reinforced polymers have been evaluated as functions of material and geometrical parameters using a homogenized RVE. The RVE consists of the polymer matrix, a multi-walled carbon nanotube (MWCNT) embedded into the matrix and the interface between them. The parameters considered are the nanotube aspect ratio, the nanotube volume fraction as well as the interface stiffness and thickness. For the MWCNT, both isotropic and orthotropic material properties have been considered. Analyses have been performed by means of a 3D FE model of the RVE. The results indicate a significant effect of nanotube volume fraction. The effect of nanotube aspect ratio appears mainly at low values and diminishes after the value of 20. The interface mostly affects the effective elastic properties at the transverse direction. Having evaluated the effective elastic properties of the MWCNT-polymer at the micro-scale, the RVE has been used to predict the tensile modulus of a polystyrene specimen reinforced by randomly aligned MWCNTs for which experimental data exist in the literature. A very good agreement is obtained between the predicted and experimental tensile moduli of the specimen. The effect of nanotube alignment on the specimen's tensile modulus has been also examined and found to be significant since as misalignment increases the effective tensile modulus decreases radically. The proposed model can be used for the virtual design and optimization of CNT-polymer composites since it has proven capable of assessing the effects of different material and geometrical parameters on the elastic properties of the composite and predicting the tensile modulus of CNT-reinforced polymer specimens. (C) 2012 Elsevier Ltd. All rights reserved.
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Florida State Univ, Florida A&M Univ, Dept Ind & Mfg Engn, High Performance Mat Inst,Coll Engn, Tallahassee, FL 32310 USAFlorida State Univ, Florida A&M Univ, Dept Ind & Mfg Engn, High Performance Mat Inst,Coll Engn, Tallahassee, FL 32310 USA
Jiang, Bing
Liu, Charlie
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Florida State Univ, Florida A&M Univ, Dept Ind & Mfg Engn, High Performance Mat Inst,Coll Engn, Tallahassee, FL 32310 USAFlorida State Univ, Florida A&M Univ, Dept Ind & Mfg Engn, High Performance Mat Inst,Coll Engn, Tallahassee, FL 32310 USA
Liu, Charlie
Zhang, Chuck
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Florida State Univ, Florida A&M Univ, Dept Ind & Mfg Engn, High Performance Mat Inst,Coll Engn, Tallahassee, FL 32310 USAFlorida State Univ, Florida A&M Univ, Dept Ind & Mfg Engn, High Performance Mat Inst,Coll Engn, Tallahassee, FL 32310 USA
Zhang, Chuck
Liang, Richard
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Florida State Univ, Florida A&M Univ, Dept Ind & Mfg Engn, High Performance Mat Inst,Coll Engn, Tallahassee, FL 32310 USAFlorida State Univ, Florida A&M Univ, Dept Ind & Mfg Engn, High Performance Mat Inst,Coll Engn, Tallahassee, FL 32310 USA
Liang, Richard
Wang, Ben
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Florida State Univ, Florida A&M Univ, Dept Ind & Mfg Engn, High Performance Mat Inst,Coll Engn, Tallahassee, FL 32310 USAFlorida State Univ, Florida A&M Univ, Dept Ind & Mfg Engn, High Performance Mat Inst,Coll Engn, Tallahassee, FL 32310 USA
机构:
Samsung SDI Co Ltd, Corp R&D Ctr, Mat Lab, Suwon 443731, Gyeonggi, South Korea
MIT, Dept Mat Sci & Engn, Cambridge, MA 02139 USASamsung SDI Co Ltd, Corp R&D Ctr, Mat Lab, Suwon 443731, Gyeonggi, South Korea
机构:
School of Transportation Science and Engineering,Beijing University of Aeronautics and AstronauticsSchool of Transportation Science and Engineering,Beijing University of Aeronautics and Astronautics
孙凌玉
崔丽
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School of Transportation Science and Engineering,Beijing University of Aeronautics and AstronauticsSchool of Transportation Science and Engineering,Beijing University of Aeronautics and Astronautics