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Calculation of tunneling distance in carbon nanotubes nanocomposites: effect of carbon nanotube properties, interphase and networks

  • Computation & theory
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Abstract

In this paper, two developed models for electrical conductivity of polymer nanocomposites are linked to express an equation for tunneling distance between adjacent carbon nanotubes (CNT) by the effective properties of polymer matrix, CNT, interphase and networks. The tunneling distance is calculated for some samples at different CNT concentrations. In addition, the suggested equation is applied to justify the impacts of all parameters on the tunneling distance. The tunneling distance decreases as CNT concentration increases, but its variation reduces at high CNT loading. The suggested equation demonstrates that a thick interphase, thin and short CNT, high filler concentration, poor percolation threshold, low surface energy of polymer and high CNT surface energy produce a short tunneling distance.

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Abbreviations

R :

CNT radius

l :

CNT length

t :

Interphase thickness

u :

Waviness parameter

σ f :

The nature conductivity of CNT

\( \phi_{\text{f}} \) :

Filler volume fraction

f :

The percentage of CNT founding the conductive networks

σ 0 :

Conductivity of polymer matrix

α :

Filler aspect ratio

cos (θ):

Wettability of nanoparticles by polymer matrix

γ p :

Surface energy of polymer

γ f :

Surface energy of filler

γ fp :

Surface energy of filler/polymer interface

θ :

Wetting angle

λ :

Tunneling distance

z :

Characteristic tunneling length

References

  1. Khair N, Islam R, Shahariar H (2019) Carbon-based electronic textiles: materials, fabrication processes and applications. J Mater Sci 54(14):10079–10101. https://doi.org/10.1007/s10853-019-03464-1

    Article  CAS  Google Scholar 

  2. Jiang M, Zhou H, Cheng X (2019) Effect of rare earth surface modification of carbon nanotubes on enhancement of interfacial bonding of carbon nanotubes reinforced epoxy matrix composites. J Mater Sci 54(14):10235–10248. https://doi.org/10.1007/s10853-019-03631-4

    Article  CAS  Google Scholar 

  3. An R, Zhang B, Han L, Wang X, Zhang Y, Shi L et al (2019) Strain-sensitivity conductive MWCNTs composite hydrogel for wearable device and near-infrared photosensor. J Mater Sci 54(11):8515–8530. https://doi.org/10.1007/s10853-019-03438-3

    Article  CAS  Google Scholar 

  4. Kumanek B, Janas D (2019) Thermal conductivity of carbon nanotube networks: a review. J Mater Sci 54(10):7397–7427. https://doi.org/10.1007/s10853-019-03368-0

    Article  CAS  Google Scholar 

  5. Sun J, Zhuang J, Shi J, Kormakov S, Liu Y, Yang Z et al (2019) Highly elastic and ultrathin nanopaper-based nanocomposites with superior electric and thermal characteristics. J Mater Sci 54:1–14. https://doi.org/10.1007/s10853-019-03472-1

    Article  CAS  Google Scholar 

  6. Tran XT, Park SS, Song S, Haider MS, Imran SM, Hussain M et al (2019) Electroconductive performance of polypyrrole/reduced graphene oxide/carbon nanotube composites synthesized via in situ oxidative polymerization. J Mater Sci 54(4):3156–3173. https://doi.org/10.1007/s10853-018-3043-4

    Article  CAS  Google Scholar 

  7. Fu X, Ramos M, Al-Jumaily AM, Meshkinzar A, Huang X (2019) Stretchable strain sensor facilely fabricated based on multi-wall carbon nanotube composites with excellent performance. J Mater Sci 54(3):2170–2180. https://doi.org/10.1007/s10853-018-2954-4

    Article  CAS  Google Scholar 

  8. Zare Y, Rhee KY (2018) Expression of normal stress difference and relaxation modulus for ternary nanocomposites containing biodegradable polymers and carbon nanotubes by storage and loss modulus data. Compos Part B Eng 158:162–168

    Article  Google Scholar 

  9. Zare Y, Rhee KY (2019) Modeling of viscosity and complex modulus for poly (lactic acid)/poly (ethylene oxide)/carbon nanotubes nanocomposites assuming yield stress and network breaking time. Compos Part B Eng 156:100–107

    Article  CAS  Google Scholar 

  10. Zare Y, Park SP, Rhee KY (2019) Analysis of complex viscosity and shear thinning behavior in poly (lactic acid)/poly (ethylene oxide)/carbon nanotubes biosensor based on Carreau–Yasuda model. Results Phys 13:1–8

    Article  Google Scholar 

  11. Tanabi H, Erdal M (2018) Effect of CNTs dispersion on electrical, mechanical and strain sensing properties of CNT/epoxy nanocomposites. Results Phys 12:486–503

    Article  Google Scholar 

  12. Bakhtiari SSE, Karbasi S, Tabrizi SAH, Ebrahimi-Kahrizsangi R (2018) Chitosan/MWCNTs composite as bone substitute: Physical, mechanical, bioactivity, and biodegradation evaluation. Polym Compos 40:E1622–E1632

    Article  Google Scholar 

  13. Khoramishad H, Khakzad M, Fasihi M (2017) The effect of outer diameter of multi-walled carbon nanotubes on fracture behavior of epoxy adhesives. Sci Iran Trans B Mech Eng 24(6):2952–2962

    Google Scholar 

  14. Zare Y, Rhee KY (2018) A power model to predict the electrical conductivity of CNT reinforced nanocomposites by considering interphase, networks and tunneling condition. Compos Part B Eng 155:11–18

    Article  CAS  Google Scholar 

  15. Zare Y, Rhee KY (2019) Simplification and development of McLachlan model for electrical conductivity of polymer carbon nanotubes nanocomposites assuming the networking of interphase regions. Compos Part B Eng 156:64–71

    Article  CAS  Google Scholar 

  16. Berhan L, Sastry A (2007) Modeling percolation in high-aspect-ratio fiber systems I Soft-core versus hard-core models. Phys Rev E 75(4):041128

    Google Scholar 

  17. Zare Y, Rhee KY (2019) A multistep methodology for effective conductivity of carbon nanotubes reinforced nanocomposites. J Alloy Compd 793:1–8

    Article  CAS  Google Scholar 

  18. Shin H, Yang S, Choi J, Chang S, Cho M (2015) Effect of interphase percolation on mechanical behavior of nanoparticle-reinforced polymer nanocomposite with filler agglomeration: a multiscale approach. Chem Phys Lett 635:80–85

    Article  CAS  Google Scholar 

  19. Zappalorto M, Salviato M, Quaresimin M (2011) Influence of the interphase zone on the nanoparticle debonding stress. Compos Sci Technol 72(1):49–55

    Article  CAS  Google Scholar 

  20. Zare Y, Rhim S, Garmabi H, Rhee KY (2018) A simple model for constant storage modulus of poly (lactic acid)/poly (ethylene oxide)/carbon nanotubes nanocomposites at low frequencies assuming the properties of interphase regions and networks. J Mech Behav Biomed Mater 80:164–170

    Article  CAS  Google Scholar 

  21. Zare Y, Garmabi H, Rhee KY (2018) Prediction of complex modulus in phase-separated poly (lactic acid)/poly (ethylene oxide)/carbon nanotubes nanocomposites. Polym Test 66:189–194

    Article  CAS  Google Scholar 

  22. Zare Y, Rhee KY (2019) Tensile strength prediction of carbon nanotube reinforced composites by expansion of cross-orthogonal skeleton structure. Compos Part B Eng 161:601–607

    Article  CAS  Google Scholar 

  23. Hassanzadeh-Aghdam MK, Mahmoodi MJ, Ansari R (2019) Creep performance of CNT polymer nanocomposites-An emphasis on viscoelastic interphase and CNT agglomeration. Compos Part B Eng 168:274–281

    Article  CAS  Google Scholar 

  24. Amraei J, Jam JE, Arab B, Firouz-Abadi RD (2018) Modeling the interphase region in carbon nanotube-reinforced polymer nanocomposites. Polym Compos 40:E1219–E1234

    Article  Google Scholar 

  25. Du F, Scogna RC, Zhou W, Brand S, Fischer JE, Winey KI (2004) Nanotube networks in polymer nanocomposites: rheology and electrical conductivity. Macromolecules 37(24):9048–9055

    Article  CAS  Google Scholar 

  26. Li C, Thostenson ET, Chou T-W (2007) Dominant role of tunneling resistance in the electrical conductivity of carbon nanotube–based composites. Appl Phys Lett 91(22):1–3

    Google Scholar 

  27. Hu N, Karube Y, Yan C, Masuda Z, Fukunaga H (2008) Tunneling effect in a polymer/carbon nanotube nanocomposite strain sensor. Acta Mater 56(13):2929–2936

    Article  CAS  Google Scholar 

  28. Kim S, Zare Y, Garmabi H, Rhee KY (2018) Variations of tunneling properties in poly (lactic acid)(PLA)/poly (ethylene oxide)(PEO)/carbon nanotubes (CNT) nanocomposites during hydrolytic degradation. Sens Actuators A Phys 274:28–36

    Article  CAS  Google Scholar 

  29. Razavi R, Zare Y, Rhee KY (2019) The roles of interphase and filler dimensions in the properties of tunneling spaces between CNT in polymer nanocomposites. Polym Compos 40:801–810

    Article  CAS  Google Scholar 

  30. Feng C, Jiang L (2013) Micromechanics modeling of the electrical conductivity of carbon nanotube (CNT)–polymer nanocomposites. Compos Part A Appl Sci Manuf 47:143–149

    Article  CAS  Google Scholar 

  31. Deng F, Zheng Q-S (2008) An analytical model of effective electrical conductivity of carbon nanotube composites. Appl Phys Lett 92(7):1–7

    Article  Google Scholar 

  32. Takeda T, Shindo Y, Kuronuma Y, Narita F (2011) Modeling and characterization of the electrical conductivity of carbon nanotube-based polymer composites. Polymer 52(17):3852–3856

    Article  CAS  Google Scholar 

  33. Zare Y, Garmabi H, Rhee KY (2018) Roles of filler dimensions, interphase thickness, waviness, network fraction, and tunneling distance in tunneling conductivity of polymer CNT nanocomposites. Mater Chem Phys 206:243–250

    Article  CAS  Google Scholar 

  34. Rafiee R (2013) Influence of carbon nanotube waviness on the stiffness reduction of CNT/polymer composites. Compos Struct 97:304–309

    Article  Google Scholar 

  35. Li J, Ma PC, Chow WS, To CK, Tang BZ, Kim JK (2007) Correlations between percolation threshold, dispersion state, and aspect ratio of carbon nanotubes. Adv Funct Mater 17(16):3207–3215

    Article  CAS  Google Scholar 

  36. Ji XL, Jiao KJ, Jiang W, Jiang BZ (2002) Tensile modulus of polymer nanocomposites. Polym Eng Sci 42(5):983–993

    Article  CAS  Google Scholar 

  37. Taherian R (2016) Experimental and analytical model for the electrical conductivity of polymer-based nanocomposites. Compos Sci Technol 123:17–31

    Article  CAS  Google Scholar 

  38. Maiti S, Suin S, Shrivastava NK, Khatua B (2013) Low percolation threshold in polycarbonate/multiwalled carbon nanotubes nanocomposites through melt blending with poly (butylene terephthalate). J Appl Polym Sci 130(1):543–553

    Article  CAS  Google Scholar 

  39. Mai F, Habibi Y, Raquez J-M, Dubois P, Feller J-F, Peijs T et al (2013) Poly (lactic acid)/carbon nanotube nanocomposites with integrated degradation sensing. Polymer 54(25):6818–6823

    Article  CAS  Google Scholar 

  40. Maiti S, Shrivastava NK, Khatua B (2013) Reduction of percolation threshold through double percolation in melt-blended polycarbonate/acrylonitrile butadiene styrene/multiwall carbon nanotubes elastomer nanocomposites. Polym Compos 34(4):570–579

    Article  CAS  Google Scholar 

  41. Li H-x, Zare Y, Rhee KY (2018) The percolation threshold for tensile strength of polymer/CNT nanocomposites assuming filler network and interphase regions. Mater Chem Phys 207:76–83

    Article  CAS  Google Scholar 

  42. Qiao R, Brinson LC (2009) Simulation of interphase percolation and gradients in polymer nanocomposites. Compos Sci Technol 69(3):491–499

    Article  CAS  Google Scholar 

  43. Mittal G, Rhee KY, Park SJ, Hui D (2017) Generation of the pores on graphene surface and their reinforcement effects on the thermal and mechanical properties of chitosan-based composites. Compos Part B Eng 114:348–355

    Article  CAS  Google Scholar 

  44. Maiti S, Bera R, Karan SK, Paria S, De A, Khatua BB (2019) PVC bead assisted selective dispersion of MWCNT for designing efficient electromagnetic interference shielding PVC/MWCNT nanocomposite with very low percolation threshold. Compos Part B Eng 167:377–386

    Article  CAS  Google Scholar 

  45. Zare Y, Rhee KY, Park S-J (2018) A modeling methodology to investigate the effect of interfacial adhesion on the yield strength of MMT reinforced nanocomposites. J Ind Eng Chem 69:331–337

    Article  Google Scholar 

  46. Zare Y, Rhee KY (2019) Evaluation of the tensile strength in carbon nanotube-reinforced nanocomposites using the expanded Takayanagi model. JOM 71:3980–3988

    Article  CAS  Google Scholar 

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Zare, Y., Rhee, K.Y. Calculation of tunneling distance in carbon nanotubes nanocomposites: effect of carbon nanotube properties, interphase and networks. J Mater Sci 55, 5471–5480 (2020). https://doi.org/10.1007/s10853-019-04176-2

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  • DOI: https://doi.org/10.1007/s10853-019-04176-2

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