2000
DOI: 10.1016/s0379-6779(99)00454-3
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Pre-exponential factor and activation energy of electrical conductivity in polyester resin/carbon fibre composites

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Cited by 39 publications
(10 citation statements)
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“…In particular, they cannot explain a multiple transition behavior in a log σ − p plot, which was reported in the literature10–13, 20, 23, 33 and was also found in the course of this work. Furthermore, volume conductivity values of a conducting filler, σ c such as carbon black with σ c ≈ 10 2 S/cm,8 are typically not equal to the maximum volume conductivity values achieved in the composites using such fillers,5, 6, 10, 11, 13, 14, 17 although according to the models available, σ of a composite should be approximately equal σ c , once a percolation threshold is passed. Moreover, it cannot explain percolation thresholds below 17 vol %, whereas in practice these values are often found 1, 4, 6, 18…”
Section: Introductionsupporting
confidence: 57%
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“…In particular, they cannot explain a multiple transition behavior in a log σ − p plot, which was reported in the literature10–13, 20, 23, 33 and was also found in the course of this work. Furthermore, volume conductivity values of a conducting filler, σ c such as carbon black with σ c ≈ 10 2 S/cm,8 are typically not equal to the maximum volume conductivity values achieved in the composites using such fillers,5, 6, 10, 11, 13, 14, 17 although according to the models available, σ of a composite should be approximately equal σ c , once a percolation threshold is passed. Moreover, it cannot explain percolation thresholds below 17 vol %, whereas in practice these values are often found 1, 4, 6, 18…”
Section: Introductionsupporting
confidence: 57%
“…Although the EMA model is well known, it cannot fit a multiple transition behavior in a log σ − p plot and fails to explain the difference between the maximum σ reached after the percolation threshold when compared with the σ c 10–13, 20, 23, 33…”
Section: Resultsmentioning
confidence: 99%
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“…However, this important sensitivity of CPC toward its environment also means that a good control of final properties is impossible if the numerous influent factors involved during the formulation and processing are not identified. The main significant factor is the filler distribution within the matrix, which can result from processing conditions (temperature, shearing, viscosity, and orientation), formulation (filler content, molecular weight and crystallinity of the polymer [2,10], solubility parameters, particle/particle and particle/macromolecule interactions [3,4]) and spatial parameters (shape factor of the conducting particles [8,19], exclusion domains in which particles cannot go [3 -5,16]). Whatever the application, the percolation threshold, i.e., the volume fraction (/ c ) over which the CPC becomes conductive, is very sensitive to variations of any of the previously mentioned parameters.…”
Section: Introductionmentioning
confidence: 99%
“…Vilčáková et al [69] studied the electrical behavior of polyester resins filled with different amounts of short CFs. Percolation of the composites filled with CFs set in at low particle concentrations of 1-2 wt%.…”
Section: Polyester-based Compositesmentioning
confidence: 99%