Study of the electrical conductivity in fiber composites
DOI:
https://doi.org/10.1260/1750-9548.4.2.141Abstract
Three-dimensional simulations have been conducted to predict the percolation threshold in fiber composite materials. It has been shown that the expansion of the sample's size increases the sharpness of distributions curves of the percolation threshold. Decreasing the percolation threshold with longer fiber is also verified. A method is proposed to evaluate the electrical resistance of fibrous composites. Assuming meandering paths, the calculation is based on detecting conductive pathways through the insulating matrix. The percolation is detected by the height of the conducting cluster instead of its number at the two electrodes. The electrical resistivities and the conduction thresholds of the carbon fiber reinforced polycarbonate composites have been characterized. The simulation results are in good agreement with an experimental study result found in the literature.
References
Rodriguez ME, Perez Bueno JJ, Zelaya Angel O, Gonzalez Hernandez J. Thermal and electrical characterization of (CdTe)1-xTex composites: electron-phonon system. Materials Letters. 1998; 36: 95-101. https://doi.org/10.1016/s0167-577x(98)00016-0
Chung KT, Sabo A, Pica AP. Electrical permittivity and conductivity of carbon black-polyvinyl chloride composites. Journal of Applied Physics. 1982; 53(10): 6867-6879. https://doi.org/10.1063/1.330027
Dani A, Ogale AA. Electrical percolation behavior of short-fiber composites: Experimental characterization and modeling. Composites Science and Technology. 1996; 56: 911-920. https://doi.org/10.1016/0266-3538(96)00054-1
Lekatou A, Faidi SE, Ghidaoui D, Lyon SB, Newman RC. Effect of water and its activity on transport properties of glass/epoxy particulate composites. Composites Part A. 1996; 28A: 223-236. https://doi.org/10.1016/s1359-835x(96)00113-3
Nasr GM, Osman HM, Abu-Abdeen M, Aboud AI. On the percolative behavior of carbon black-rubber interlinked systems. Polymer Testing. 1999; 18: 483-493. https://doi.org/10.1016/s0142-9418(98)00035-x
Dieterich W, Dürr O, Pendzig P, Bunde A, Nitzan A. Percolation concepts in solid state ionics. Physica A. 1999; 226: 229-237. https://doi.org/10.1016/s0378-4371(98)00597-4
Samgin AL. Percolation origin of anomalous conductivity behavior in BaCe1-xErxO3 near x = 0.3. Solid State Ionics. 2000; 136-137: 1363-1366. https://doi.org/10.1016/s0167-2738(00)00577-4
Mamunya YP, Privalko EG, Lebedev EV, Privalko VP, Balta Calleja FJ, Pissis P. Structure-dependant conductivity an microhardness of metal-filled PVC composites. Macromolecular Symposia. 2001; 169:297-306. https://doi.org/10.1002/1521-3900(200105)169:1<297::aid-masy297>3.0.co;2-z
Wang YJ, Pan Y, Zhang XW, Tan K. Impedance spectra of carbon black filled high-density polyethylene composites. Journal of Applied Polymer Science. 2005; 98: 1344-1350. https://doi.org/10.1002/app.22297
Pike GE, Seager CH. Percolation and conductivity: A computer Study. I*. Physical Revue B. 1974; 10(4): 1421-1434.
Slupkowski T. Electrical conductivity of mixtures of conducting and insulating particles. Physica Statas Solidi (a). 1984; 83: 329-333. https://doi.org/10.1002/pssa.2210830137
Lux F. Review models proposed to explain the electrical conductivity of mixtures made of conductive and insulating materials. Journal of Materials Science. 1993; 28: 285-301. https://doi.org/10.1007/bf00357799
Taipalus R, Harmia T, Zhang MQ, Friedrich K. The electrical conductivity of carbon-fibre-reinforced polypropylene/polyaniline complex-blends: experimental characterization and modeling. Composite Science and Technology. 2001; 61: 801-814. https://doi.org/10.1016/s0266-3538(00)00183-4
Mikhrajuddin A, Shi FG, Chungpaiboonpatana S, Okuyama K, Davidson C, Adams JM. Onset of electrical conduction in isotropic conductive adhesives: a general theory. Material Science in semiconductor processing. 1999; 2: 309-319. https://doi.org/10.1016/s1369-8001(99)00035-9
Ruschau GR, Yoshikawa S, Newnham RE. Resistivities of conductives composites. Journal of Applied Physics. 1992; 72 (3): 953-959. https://doi.org/10.1063/1.352350
Boissonade J, Barreau F, Carmona F. The percolation of fibres with random orientations: a Monte Carlo study. Journal of Physics A: Mathematical General. 1983; 16: 2777-2787. https://doi.org/10.1088/0305-4470/16/12/023
De Bondt S, Froyen L, Deruyttere A. Electrical conductivity of composites: a percolation approach. Journal of Materials Science. 1992; 27: 1983-1988. https://doi.org/10.1007/bf01107228
Wang CW, Cook KA, AM Sastry. Conduction in multiphase particulate/ fibrous networks Simulations and experiments on Li-ion anodes. Journal of the Electrochemical Society. 2003; 150(3): A385-A397. https://doi.org/10.1149/1.1543566
Berlyand L, Kolpakov A. Network approximation in the limit of small interparticle distance of the effective properties of a high contrast random dispersed composite. Archive for Rational Mechanics and Analysis. 2001; 159(3): 179-227. https://doi.org/10.1007/s002050100142
Clingerman ML, King JA, Schultz KH, Meyers JD. Evaluation of Electrical Conductivity Models for Conductive Polymer Composites. Journal of Applied Polymer Science. 2002; 83: 1341-1356. https://doi.org/10.1002/app.10014
Gokturk HS, Fiske TJ, Kalyon DM. Effects of particle shape and size distributions on the electrical and magnetic properties of Nickel/Polyethylene composites. J Appl Polym Sci. 1993; 50: 1891-1901. https://doi.org/10.1002/app.1993.070501105
Fu Y, Liu J, Willander M. Conduction modeling of a conductive adhesive with bimodal distribution of conducting element. International Journal of Adhesion & Adhesives. 1999; 19: 281-286. https://doi.org/10.1016/s0143-7496(98)00071-2
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