journal article·2016-08

Simulating the effective electric conductivity of polymer composites with high aspect ratio fillers

Fritjof Nilsson, Johannes Krückel, Dirk W. Schubert, Fei Chen, Mikael Unge, Ulf W. Gedde, Mikael S. Hedenqvist

Publisher page

Abstract

Abstract Three simulation models have been developed for predicting the electrical conductivity and the electrical percolation threshold of field-grading polymer composites intended for high voltage applications. The three models are based on finite element modelling (FEM), percolation threshold modelling (PTM) and electrical networks modelling (ENM). A Monte Carlo algorithm was used to construct the geometries, with either soft-core (overlapping) or hard-core/soft-shell (non-overlapping) fibres. Conductivity measurements on carbon-fibre/PMMA composites with well-defined fibre aspect ratios were used for experimental validation. The average fibre orientations were calculated from scanning electron micrographs. The soft-core PTM model with experimental fibre orientations and without adjustable parameters gave accurate (R 2 = 0.984) predictions of the electrical percolation threshold as a function of aspect ratio. The corresponding soft-core ENM model, with close-contact conductivity calculated with FEM, resulted in good conductivity predictions for the longest fibres, still without the use of any adjustable parameters. The hard-core/soft-shell versions of the models, using the shell thickness as an adjustable parameter, gave similar but slightly poorer results.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: High voltage insulation and dielectric phenomena · Dielectric materials and actuators · Advanced Sensor and Energy Harvesting Materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (34)

Show source-provided references
1. The AC and DC conductivity of nanocomposites10.1155/2007/30389 ↗
2. Physical properties of composites near percolation10.1146/annurev-matsci-070909-104529 ↗
3. Modelling the relative permittivity of anisotropic insulating composites10.1016/j.compscitech.2010.11.016 ↗
4. Dielectric nanocomposites with insulating properties10.1109/TDEI.2005.1522186 ↗
5. Two percolation thresholds due to geometrical effects: experimental and simulated results10.1088/0022-3727/36/4/312 ↗
6. Finite-element modeling method for the prediction of the complex effective permittivity of two-phase random statistically isotropic heterostructures10.1063/1.1835544 ↗
7. Dielectric constant and breakdown strength of polymer composites with high aspect ratio fillers studied by finite element models10.1016/j.compscitech.2012.12.014 ↗
8. Three-dimensional impedance networks for modelling frequency dependent electrical properties of composite materials10.1088/0022-3727/36/15/318 ↗
9. Tuncer · 2001
10. Proposal of a multi-core model for polymer nanocomposite dielectrics10.1109/TDEI.2005.1511092 ↗
11. Critical exponents for percolation conductivity in resistor networks10.1103/PhysRevB.16.2593 ↗
12. Belashi · 2011
13. The effect of particle size on electric conducting percolation threshold in polymer/conducting particle composites10.1023/A:1006774318019 ↗
14. Effect of particle size of graphites on electrical conductivity of graphite/polymer composite10.1163/156855499X00161 ↗
15. Wang · 2009
16. Polymer-grafted Al2O3-nanoparticles for controlled dispersion in poly(ethylene-co-butyl acrylate) nanocomposites10.1016/j.polymer.2014.03.005 ↗
17. Direct current conduction in SiC powders10.1063/1.1392963 ↗
18. Influence of the pressure-dependent contact area between electrode and composite surface on the electrical conductivity10.1016/j.compstruct.2015.10.040 ↗
19. The influence of moisture on the electrical properties of crosslinked polyethylene/silica nanocomposites10.1109/TDEI.2013.6508768 ↗
20. Blythe · 2005
21. Invariant properties of the percolation thresholds in the soft-core–hard-core transition10.1103/PhysRevA.35.5174 ↗
22. The importance of bendability in the percolation behavior of carbon nanotube and graphene-polymer composites10.1063/1.4752714 ↗
23. Modeling percolation in high-aspect-ratio fiber systems. I. Soft-core versus hard-core models
24. Mesoscale modeling of electrical percolation in fiber-filled systems10.1063/1.2031147 ↗
25. Statistical geometry of random fibrous networks, revisited: waviness, dimensionality, and percolation10.1063/1.1763240 ↗
26. Modeling percolation in high-aspect-ratio fiber systems. II. The effect of waviness on the percolation onset
27. Rheology and conductivity of carbon fibre composites with defined fibre lengths10.1016/j.compscitech.2013.06.006 ↗
28. Penetrant diffusion in polyethylene spherulites assessed by a novel off-lattice Monte-Carlo technique10.1016/j.eurpolymj.2009.09.018 ↗
29. Eberly · 2006
30. Schneider · 2002
31. An algebraic condition for the separation of two ellipsoids10.1016/S0167-8396(01)00049-8 ↗
32. Strang · 1986
33. Tuncer E, Gubanski SM. Dielectr. Prop. Differ. Compos. Struct. vol. 40171999. p. 136–142.
34. Gedde · 2013