Effect of polymer-filler interface interactions on percolation conductivity of thermoplastics filled with carbon black

Mamunya, Yevgen; Davidenko, V. V.; Lebedev, E. V.

doi:10.1163/156855497x00145

Cited by 133 publications

(109 citation statements)

References 7 publications

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“…It takes into account the parameters previously neglected by other researchers. It gives a good agreement in the case of polymer composites filled with carbon black beyond the percolation threshold [14,15,[17][18][19][20][21][22]. Mamunya model cannot be used for filler concentrations lower than those of the percolation threshold and the term ((x − 2, 61)/27, 39) becomes negative in this area.…”

Section: Modeling Resultsmentioning

confidence: 99%

“…Several existing models were tested to find those that best describe the behavior of the composites studied. Among the models tested, that of Mamunya [13][14][15] seems to be more appropriate. It takes into account the parameters previously neglected by other researchers.…”

Section: Modeling Resultsmentioning

confidence: 99%

“…This is explained by the fact that Mamunya model was designed primarily to predict the behavior of polymers filled with carbon black beyond the percolation threshold [14,15,[17][18][19][20][21][22].…”

Section: Modeling Resultsmentioning

confidence: 99%

“…Among the models that predict the conductivity of the materials according to the interactions between the polymer and the filler, particularly those involving the surface tension and surface energy components are those proposed by Mamunya et al [13,14] and Clingerman et al [15].…”

Section: Introductionmentioning

confidence: 99%

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Electrical Conductivity Modeling of Polypropylene Composites Filled with Carbon Black and Acetylene Black

Merzouki

Haddaoui

2012

ISRN Polymer Science

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Composites of polypropylene filled with carbon black or acetylene black at different concentrations were prepared by melt mixing followed by compression molding. The influences of filler type and filler concentration on the composites conductivity were studied. It was found that the percolation threshold is located at a lower concentration in composites filled with the acetylene black, than that of the composites filled with carbon black. The model of Mamunya gives a fairly good agreement in the evaluation of the conductivity of polymeric composites loaded with carbon black or acetylene black, beyond the percolation threshold. The Boltzman equation was adopted to develop a model that represents more faithfully all results obtained. The expressions of the electrical conductivity, calculated with the model developed, are in good agreement with experimental results for the entire concentration range studied in linear or semilogarithmic scale.

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Section: Modeling Resultsmentioning

confidence: 99%

Section: Modeling Resultsmentioning

confidence: 99%

Section: Modeling Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Electrical Conductivity Modeling of Polypropylene Composites Filled with Carbon Black and Acetylene Black

Merzouki

Haddaoui

2012

ISRN Polymer Science

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“…For spherical particles, lower percolation threshold is obtained with smaller particle size. 3,4 Similarly, the quantity and distribution of the filler would increase or decrease the probability of such contact between particles. The interaction between filler and matrix would affect the degree of contact between filler particles where the interaction (i.e.…”

Section: Introductionmentioning

confidence: 99%

Material property models for polyethylene-based conductive blends suitable for PEM fuel cell bipolar plates

Greenwood

Thring

Chen

2014

Proceedings of the Institution of Mechanical Engineers, Part L:

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Electrical and thermal conductivity models from Mamunya et al. and Kerner's equation for elastic and flexural modulus have been applied to experimental data to assess model accuracies. Experimental data were gained from a previous study where polyethylene and carbon black, graphite and magnetite composites produced by injection and compression moulding were tested. The electrical conductivity modelling gave accurate fits to the data, though available data were limited and the thermal conductivity modelling produced good fits with R 2 values greater than 0.93. The electrical and thermal model exponents were tuned for best fit and used to compare the modelling results with the literature and gain information about conduction mechanisms such as tunnelling and links, nodes and blobs and variations in local filler concentrations. A modified Kerner's equation to effectively allow for filler type and variations in composite processing was used to improve upon the original equation which modelled modulus behaviour based on the pure matrix. The new equation proved to be a better predictor of elastic modulus than flexural modulus.

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Novel gas sensor from polymer-grafted carbon black: Vapor response of electric resistance of conducting composites prepared from poly(ethylene-block-ethylene oxide)-grafted carbon black

Chen

Tsubokawa

2000

J. Appl. Polym. Sci.

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Effect of polymer-filler interface interactions on percolation conductivity of thermoplastics filled with carbon black

Cited by 133 publications

References 7 publications

Electrical Conductivity Modeling of Polypropylene Composites Filled with Carbon Black and Acetylene Black

Electrical Conductivity Modeling of Polypropylene Composites Filled with Carbon Black and Acetylene Black

Material property models for polyethylene-based conductive blends suitable for PEM fuel cell bipolar plates

Novel gas sensor from polymer-grafted carbon black: Vapor response of electric resistance of conducting composites prepared from poly(ethylene-block-ethylene oxide)-grafted carbon black

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