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Modelo Estatístico de Rede de Resistores para o Estudo de Processos de Condução em Nanocompósitos Poliméricos

2012; Linguagem: Inglês

2639-6459

Lilian Cardoso,

Transition Metal Oxide Nanomaterials

In this paper, we study the conducting processes involved in electrical conductivity of polyaniline/indium tin oxide nanocomposites (PANI/ITO) and polyurethane/carbon black nanocomposites (PU/CB), from the application of a statistical model of network resistors and the analysis of the dc conductivity near the percolation threshold. The statistical model was developed in Fortran 90 to generate the morphological structure of these nanocomposites and calculate the alternating electrical conductivity by applying a transfer matrix technique. The model took into account the disordered structure of undoped PANI, the formation of soft and hard segments in PU and random distribution of nanoparticles and aggregates of ITO and NF in their respective matrix. The impedance between two neighboring sites of the polymeric matrix, for both PANI and PU, was calculated by the model of Dyre, while the impedance between two neighboring sites from conductive phase was calculated by the Drude model. Were measured impedance spectroscopy and dc conductivity for both composites, with different concentrations of the phase conductor. The objectives were to analyze the processes of conduction, determine the percolation threshold and critical exponents of conductivity. According to the simulations and experimental results, the conduction process, between two sites of the polymeric matrix, is in agreement with random free energy barriers model proposed by Dyre (RFEB), while the conduction in the conductive phase is described by the Drude model. The analysis of the dc conductivity measurements obtained below the percolation threshold on both the composites indicates that the process of conduction occurs via hopping between sites of the polymeric matrix. In the region of percolation, both the hopping and tunneling can contribute to the conduction process. However, for samples with concentrations above the statistical percolation threshold, the geometric percolation is the dominant conduction mechanism.