Modification of Maxwell model for conductivity prediction of carbon nanotubes-filled polymer composites with tunneling effect

Expand
  • 1.Zhejiang Provincial Engineering Research Center for the Safety of Pressure Vessel and Pipeline, Ningbo 315211, Zhejiang Province, China
    2.Key Laboratory of Impact and Safety Engineering (Ningbo University), Ministry of Education, Ningbo 315211, Zhejiang Province, China
    3.School of Engineering, Computing and Mathematics, University of Plymouth, Plymouth PL4 8AA, U. K.
    4.Xi'an Zhanshi Testing & Engineering Co. Ltd., Xi'an 710018, China
† Corresponding author, E-mail: long-yuan.li@plymouth.ac.uk

Received date: 2024-06-26

  Revised date: 2024-12-06

  Online published: 2025-01-06

Supported by

Project supported by the National Natural Science Foundation of China (Nos. 11972203 and 11572162), the Science and Technology Innovation 2025 Major Project of Ningbo City of China (No. 2022Z209), and Ningbo Key Technology Breakthrough Plan Project of “Science and Technology Innovation Yongjiang 2035” (No. 2024Z256)

Copyright

© Shanghai University 2025

Abstract

Carbon nanotubes (CNTs) have garnered great attention in recent years due to their outstanding electrical, thermal, and mechanical properties. The incorporation of small amounts of CNTs in polymers can substantially improve the sensitivity of the polymer's electrical conductivity. This paper presents a modified Maxwell model to evaluate the electrical conductivity of CNTs-filled polymer composites by introducing a transition zone to account for the tunneling effect. In this modified Maxwell model, the CNTs-filled polymer composite is modeled as a three-phase composite, consisting of a matrix (polymer), inclusions (CNTs), and a transition zone (tunneling zone). The effective electrical conductivity (EEC) of the composite is calculated based on the volume fractions and electrical conductivities of the matrix, inclusions, and transition zone. The model's validity is confirmed through the use of available test data, which demonstrates its capability to accurately capture the nonlinear conductivity behavior observed in CNTs-polymer composites. This study offers valuable insights into the design of high-performance conductive polymer nanocomposites, and enhances the understanding of electrical conduction mechanisms in CNT-dispersed polymer composites.

Cite this article

Jue ZHU, Longyuan LI, Ningtao ZHU . Modification of Maxwell model for conductivity prediction of carbon nanotubes-filled polymer composites with tunneling effect[J]. Applied Mathematics and Mechanics, 2025 , 46(1) : 25 -36 . DOI: 10.1007/s10483-025-3210-9

References

[1] CEBECI, H., DE VILLORIA, R. G., HART, A. J., and WARDLE, B. L. Multifunctional properties of high volume fraction aligned carbon nanotube polymer composites with controlled morphology. Composites Science and Technology, 69, 2649–2656 (2009)
[2] KIM, H., GAO, S., HONG, S., LEE, P. C., KIM, Y. L., HA, J. U., JEOUNG, S. K., and JUNG, Y. J. Multifunctional primer film made from percolation enhanced CNT/epoxy nanocomposite and ultrathin CNT network. Composites Part B: Engineering, 175, 107107 (2019)
[3] JU, J., KUANG, T., KE, X., ZENG, M., CHEN, Z., ZHANG, S., and PENG, X. Lightweight multifunctional polypropylene/carbon nanotubes/carbon black nanocomposite foams with segregated structure, ultralow percolation threshold and enhanced electromagnetic interference shielding performance. Composites Science and Technology, 193, 108116 (2020)
[4] YAN, F., LIU, L., LI, M., ZHANG, M. J., SHANG, L., XIAO, L. H., and AO, Y. H. One-step electrodeposition of Cu/CNT/CF multiscale reinforcement with substantially improved thermal/electrical conductivity and interfacial properties of epoxy composites. Composites Part A: Applied Science and Manufacturing, 125, 105530 (2019)
[5] YUAN, S. Q., ZHENG, Y., CHUA, C. K., YAN, Q. Y. and ZHOU, K. Electrical and thermal conductivities of MWCNT/polymer composites fabricated by selective laser sintering. Composites Part A: Applied Science and Manufacturing, 105, 203–213 (2018)
[6] MüLLER-KIRSTEN, H. J. W. Introduction to Quantum Mechanics: Schr?dinger Equation and Path Integral, 2nd edition, World Scientific, Singapore (2012)
[7] HASHEMI, R. and WENG, G. J. A theoretical treatment of graphene nanocomposites with percolation threshold, tunnelling-assisted conductivity and microcapacitor effect in AC and DC electrical settings. Carbon, 96, 474–490 (2016)
[8] PAYANDEHPEYMAN, J., MAZAHERI, M., and KHAMEHCHI, M. Prediction of electrical conductivity of polymer-graphene nanocomposites by developing an analytical model considering interphase, tunneling and geometry effects. Composites Communications, 21, 100364 (2020)
[9] HASHIN, Z. Analysis of composite materials — a survey. Applied Mechanics Review, 50(3), 481–505 (1983)
[10] TORQUATO, S. Random heterogeneous media: microstructure and improved bounds on effective properties. Applied Mechanics Review, 44(2), 37–76 (1991)
[11] LUX, F. Models proposed to explain the electrical conductivity of mixtures made of conductive and insulating materials. Journal of Materials Science, 28(2), 285–301 (1993)
[12] WEBER, L., DORN, J., and MORTENSEN, A. On the electrical conductivity of metal matrix composites containing high volume fractions of non-conducting inclusions. Acta Materialia, 51(11), 3199–3211 (2003)
[13] HU, N., KARUBE, Y., YAN, C., MASUDA, Z., and FUKUNAGA, H. Tunneling effect in a polymer/carbon nanotube nanocomposite strain sensor. Acta Materials, 56(13), 2929–2936 (2008)
[14] HE, L. X. and TJONG, S. C. Carbon nanotube/epoxy resin composite: correlation between state of nanotube dispersion and Zener tunnelling parameters. Synthetic Metals, 162(24), 2277–2281 (2012)
[15] HE, L. X. and TJONG, S. C. Zener tunneling in polymer nanocomposites with carbonaceous fillers. Nanocrystalline Materials, 2nd edition, Elsevier, Oxford, 377–406 (2014)
[16] MARIANO, L. C., SOUZA, V. H. R., KOWALSKI, E. L., ROCCO, M. L. M., ZARBIN, A. J. G., KOEHLER, M., and ROMAN, L. S. Electrical and morphological study of carbon nanotubes/polyaniline composite films: a model to explain different tunneling regimes induced by a vertical electric field. Thin Solid Films, 636, 314–324 (2017)
[17] ZARE, Y. and RHEE, K. Y. A power model to predict the electrical conductivity of CNT reinforced nanocomposites by considering interphase, networks and tunnelling condition. Composites Part B: Engineering, 155, 11–18 (2018)
[18] ZARE, Y. and RHEE, K. Y. A simple model for electrical conductivity of polymer carbon nanotubes nanocomposites assuming the filler properties, interphase dimension, network level, interfacial tension and tunnelling distance. Composites Science and Technology, 155, 252–260 (2018)
[19] FANG, C., ZHANG, J. J., CHEN, X., and WENG, G. J. A Monte Carlo model with equipotential approximation and tunneling resistance for the electrical conductivity of carbon nanotube polymer composites. Carbon, 146, 125–138 (2019)
[20] HAGHGOO, M., ANSARI, R., HASSANZADEH-AGHDAM, M. K., and NANKALI, M. Analytical formulation for electrical conductivity and percolation threshold of epoxy multiscale nanocomposites reinforced with chopped carbon fibres and wavy carbon nanotubes considering tunnelling resistivity. Composites Part A: Applied Science and Manufacturing, 126, 105616 (2019)
[21] ZARE, Y. and RHEE, K. Y. Expression of characteristic tunnelling distance to control the electrical conductivity of carbon nanotubes-reinforced nanocomposites. Journal of Materials Research and Technology, 9(6), 15996–16005 (2020)
[22] XAVIER, P. A. F., BENOY, M. D., STEPHEN, S. K., and VARGHESE, T. Enhanced electrical properties of polyaniline carbon nanotube composites: analysis of temperature dependence of electrical conductivity using variable range hopping and fluctuation induced tunnelling models. Journal of Solid State Chemistry, 300, 122232 (2021)
[23] CHANDA, A., SINHA, S. K., and DATLA, N. V. Electrical conductivity of random and aligned nanocomposites: theoretical models and experimental validation. Composites Part A: Applied Science and Manufacturing, 149, 106543 (2021)
[24] HAGHGOO, M., ANSARI, R., and HASSANZADEH-AGHDAM, M. K. Monte Carlo analytical-geometrical simulation of piezoresistivity and electrical conductivity of polymeric nanocomposites filled with hybrid carbon nanotubes/graphene nanoplatelets. Composites Part A: Applied Science and Manufacturing, 152, 106716 (2022)
[25] WEI, S., ZHANG, Y., LV, H., DENG, L., and CHEN, G. SWCNT network evolution of PEDOT:PSS/SWCNT composites for thermoelectric application. Chemical Engineering Journal, 428, 131137 (2022)
[26] HAGHGOO, M., ANSARI, R., HASSANZADEH-AGHDAM, M. K., JANG, S. H., and NANKALI, M. Simulation of the role of agglomerations in the tunneling conductivity of polymer/carbon nanotube piezoresistive strain sensors. Composites Science and Technology, 243, 110242 (2023)
[27] ZARE, Y. and RHEE, K. Y. Development of a conventional model to predict the electrical conductivity of polymer/carbon nanotubes nanocomposites by interphase, waviness and contact effects. Composites Part A: Applied Science and Manufacturing, 100, 305–312 (2017)
[28] KIRADJIEV, K. B., HALVORSEN, S. A. A., VAN GORDER, R. A., and HOWISON, S. D. Maxwell-type models for the effective thermal conductivity of a porous material with radiative transfer in the voids. International Journal of Thermal Sciences, 145, 106009 (2019)
[29] CARE, S. and HERVE, E. Application of a n-phase model to the diffusion coefficient of chloride in mortar. Transport in Porous Media, 56(2), 119–135 (2004)
[30] LEI, X., ZHANG, X. R., SOON, A. R., GONG, S., WANG, Y., LUO, L. X., LI, T., ZHU, Z. H., and LI, Z. Investigation of electrical conductivity and electromagnetic interference shielding performance of Au@CNT/sodium alginate/polydimethylsiloxane flexible composite. Composites Part A: Applied Science and Manufacturing, 130, 105762 (2020)
[31] LI, Y., XUE, B., YANG, S., CHENG, Z., XIE, L., and ZHENG, Q. Flexible multilayered films consisting of alternating nanofibrillated cellulose/Fe3O4 and carbon nanotube/polyethylene oxide layers for electromagnetic interference shielding. Chemical Engineering Journal, 410, 128356 (2021)
[32] FANG, Y., LI, L. Y., and JANG, S. H. Calculation of electrical conductivity of self-sensing carbon nanotube composites. Composites Part B: Engineering, 199, 108314 (2020)
[33] FANG, Y., LI, L. Y., and JANG, S. H. Piezoresistive modelling of CNTs reinforced composites under mechanical loadings. Composites Science and Technology, 208, 108757 (2021)
[34] FANG, Y., HU, S. W., LI, L. Y., and JANG, S. H. Percolation threshold and effective properties of CNTs-reinforced two-phase composite materials. Materials Today Communications, 29, 102977 (2021)
[35] LI, Z. W. and LI, L. Y. Analysis of electrical conductivity of carbon nanotube-reinforced two-phase composites. Composites Communications, 35, 101305 (2022)
[36] SEDLáKOVá, Z., CLARIZIA, G., BERNARDO, P., JANSEN, J. C., SLOBODIAN, P., SVOBODA, P., KARASZOVA, M., FRIESS, K., and IZAK, P. I. Carbon nanotube- and carbon fiber-reinforcement of ethylene-octene copolymer membranes for gas and vapor separation. Membranes, 4(1), 20–39 (2014)
[37] KIM, Y. J., SHIN, T. S., CHOI, H. D., KWON, J. H., CHUNG, Y. C., and YOON, H. G. Electrical conductivity of chemically modified multiwalled carbon nanotube/epoxy composites. Carbon, 43(1), 23–30 (2005)
[38] LISUNOVA, M., MAMUNYA, Y. P., LEBOVKA, N., and MELEZHYK, A. Percolation behaviour of ultrahigh molecular weight polyethylene/multi-walled carbon nanotubes composites. European Polymer Journal, 43(3), 949–958 (2007)
Outlines

/

APS Journals | CSTAM Journals | AMS Journals | EMS Journals | ASME Journals