2013
DOI: 10.1080/09500340.2013.793778
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Optical properties of deposit models for paints: full-fields FFT computations and representative volume element

Abstract: International audienceA 3D model of microstructure containing spherical and rhombi-shaped inclusions "falling" along a deposit direction is used to simulate the distribution of nanoscale color pigments in paints. The microstructures anisotropy and length scales, characterized by their covariance functions and representative volume element, follow that of transerseley isotropic or orthotropic media. Full-field computations by means of the fast Fourier method are undertaken to compute the local and effective per… Show more

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Cited by 12 publications
(14 citation statements)
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References 23 publications
(25 reference statements)
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“…At the nanometric scale, the effect of pigments on the optical properties has been studied experimentally and compared with effective medium theories (Cummings et al, 1984). More recently, numerical works have been carried out to estimate the effect of the dispersion of pigments in a deposit model (Azzimonti et al, 2013). To represent the material and compute its properties using numerical means, a microstructural model is required.…”
Section: Introductionmentioning
confidence: 99%
“…At the nanometric scale, the effect of pigments on the optical properties has been studied experimentally and compared with effective medium theories (Cummings et al, 1984). More recently, numerical works have been carried out to estimate the effect of the dispersion of pigments in a deposit model (Azzimonti et al, 2013). To represent the material and compute its properties using numerical means, a microstructural model is required.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, Fourier-based methods, originally introduced by Moulinec et al [1], have become ubiquitous for computing numerically the properties of composite materials, with applications in domains ranging from linear elasticity [2], viscoplasticity [instead of 'thermoplasticity'] [3], and crack propagation [4] to thermal and electrical [5,6] and also optical properties [7]. The success of the method resides in its ability to cope with arbitrarily complex and often very large microstructures, supplied as segmented images of real materials, for example, multiscale [instead of 'multistage'] nanocomposites [8], austenitic steel [9], granular media [5] or polycrystals [instead of 'polycrystal'] [10,11,12].…”
Section: Introductionmentioning
confidence: 99%
“…The optimal choice of α and β to minimize the number of iterations is a very difficult task that depends on elastic properties, model resolution, and geometry . In general, the convergence rate reduces markedly with the increase of the contrast between the elastic properties of the microstructure phases.…”
Section: Homogenization Analysis Using the Polarization‐based Fft Methodsmentioning
confidence: 99%
“…It is interesting to observe that the above scheme reduces to the Eyre-Milton 35 and augmented Lagrangian 36 schemes when the coefficients α and β are set to α = β = 2 and α = β = 1, respectively. 32,33 The iterative scheme 15 converges when stress σ i μ and strain ε i μ are respectively equilibrated and compatible fields, and the average strain equals the prescribed macroscopic strain ε i μ y ð Þ V ¼ ε: 38 Moulinec and Silva 38 did a comprehensive review and analysis of the conditions for the convergence of the iterative scheme, and they summarized the sufficient conditions for convergence. Unfortunately, they could not demonstrate the convergence of the method for the case of microstructures with voids and rigid inclusions (ie, microstructures with infinite contrast).…”
Section: Homogenization Analysis Using the Polarization-based Fft Mmentioning
confidence: 99%