Short-range order and fractal cluster structure of aggregates of barium titanate microparticles in a composite based on cyano-ethyl ester of polyvinyl alcohol

Красовский, А. Н.; Новиков, Д. В.; Vasina, E. S.; Matveichikova, P. V.; Sychev, M. M.; Rozhkova, N. N.

doi:10.1134/s1063783415120227

Cited by 9 publications

(3 citation statements)

References 8 publications

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“…(2) 6. Construction of radial distribution functions g(r), which represent the dependence of the filling density of segments on their radius [9], and their analysis with determination of the following characteristics of the microstructure of composites:…”

Section: Methodsmentioning

confidence: 99%

“…The injection of this additive in the optimal amount provided a strong interfacial interaction with the polymer matrix via hydroxyl groups [7]. In another series of studies [8][9][10], the structure of polymers and composites based on them was studied by electron microscopy with analysis of fractal characteristics, which made it possible to gain insight into the peculiarities of the mutual arrangement of filler particles.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of the Structure of Composite Systems by Means of Fractal Characteristics Using the BaTiO3–Fullerenol–CEPVA System as an Example

Chekuryaev¹,

Sychov²,

Myakin³

2021

Phys. Solid State

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An approach is proposed to study the composition-structure-properties relationship in composite materials, which is based on a statistical analysis of the distribution of structural elements of the composite between the section fragments and the calculation of fractal parameters as quantitative characteristics of the structure of materials. The promise of this approach is demonstrated using an example of the analysis of the microstructure of composite materials based on cyanoethyl ether of polyvinyl alcohol (CEPVA) with barium titanate (BaTiO 3 ) ferroelectric filler modified by the precipitation of fullerenol C 60 (OH) 42 . It is shown that the modification leads to a decrease in the span and standard deviation of the number of particles between the composite fragments, an increase in the average number of particles in the fragments, a decrease in the lacunarity of filling the polymer matrix with filler particles, and an increase in the intensity of all distribution maxima of the lattice density and correlation radii starting from the second maximum. The obtained results demonstrate a substantial increase in the uniformity of distribution of filler particles throughout the matrix and prevention of their agglomeration, which provides an increase by an order of magnitude in the dielectric constant of the composites and makes the proposed material promising for use in electronic devices.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of the Structure of Composite Systems by Means of Fractal Characteristics Using the BaTiO3–Fullerenol–CEPVA System as an Example

Chekuryaev¹,

Sychov²,

Myakin³

2021

Phys. Solid State

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show abstract

“…This approach is particularly useful for composite materials, the properties of which depend not only on the quantitative ratio of the components (e.g., content of a filler introduced into a binder matrix), but also on their mutual arrangement, i.e., uniformity of the filler distribution in the matrix, taking into account the possible aggregation of its particles, fibers or layers [3]. One of the considered approaches, described in detail [2][3][4][5][6][7][8][9][10][11][12], is based on the calculation of the fractal dimension characterizing the geometric complexity of an object and determined according to the rate of increment of new elements of the structure with increasing scale. In some cases, a more informative parameter is lacunarity characterizing the spatial non-uniformity of the distribution of the studied objects [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Digital Characteristics of Microstructure of Diamond—Silicon Carbide Composites

et al. 2023

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As an example of the implementation of digital materials science approaches based on statistical processing of electron micrographs with the analysis of fractal parameters, the digital characteristics of microstructure of diamond–silicon carbide ceramic composite material are calculated. The lacunarity parameter characterizing the non-uniform distribution of filler particles in the matrix is found. Based on lacunarity values calculated at different scales, scale invariance parameter characterizing the dependence of lacunarity on the scale is evaluated. Voronoi entropy characterizing the structure based on the quantity of information is also calculated and used to determine the average number of neighboring particles and average distance between them. For the composites with high mechanical properties, the number of nearest neighbors approaches six, indicating an almost closest packing.

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Composites and Coatings Based on the Si–B4C–ZrB2 Glass-Forming System Modified with Carbonaceous Materials

2021

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Short-range order and fractal cluster structure of aggregates of barium titanate microparticles in a composite based on cyano-ethyl ester of polyvinyl alcohol

Cited by 9 publications

References 8 publications

Analysis of the Structure of Composite Systems by Means of Fractal Characteristics Using the BaTiO3–Fullerenol–CEPVA System as an Example

Analysis of the Structure of Composite Systems by Means of Fractal Characteristics Using the BaTiO3–Fullerenol–CEPVA System as an Example

Digital Characteristics of Microstructure of Diamond—Silicon Carbide Composites

Composites and Coatings Based on the Si–B4C–ZrB2 Glass-Forming System Modified with Carbonaceous Materials

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