Morphological Modeling of Cold Spray Coatings

Bortolussi, Vincent; Figliuzzi, Bruno; Willot, François; Faessel, Matthieu; Jeandin, Michel

doi:10.5566/ias.1894

Cited by 12 publications

(12 citation statements)

References 19 publications

(24 reference statements)

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“…In particular a detailed description of the interstice's shape and distribution is missing. A more complete modelling and simulation of coatings microstructure is presented in [27].…”

Section: Figure 19 -Optical Image (Cross-section) Of a Heterogeneous Coating Made Of Non-oxidized Copper Particlesmentioning

confidence: 99%

Electrical Conductivity of Metal–Polymer Cold Spray Composite Coatings onto Carbon Fiber-Reinforced Polymer

et al. 2020

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Cold spray is a promising process to coat polymers and carbon fiber-reinforced polymer (CFRP). The choice of the metal-polymer couple of materials, however, has a strong influence on coating build-up and properties. In the present work, we show that spraying mixtures of copper and polymer particles lead to composite coating. We observe that the polymer promotes coating build-up onto CFRP to the expense of the electrical conductivity of the coating as a result of its insulating properties. The present work investigates the influence of the coating microstructure on electrical conductivity. Various copper powders, with different morphologies, particle sizes and oxygen contents were mixed with a PEEK (Polyaryl-Ether-Ether-Ketone) powder. Cold spray of these powders resulted into composite coatings and we study the microstructures and electrical properties of such coatings as a function of powder characteristics and spraying parameters. A morphological model of the coating microstructure was developed to reproduce numerically microstructures in 3D. The conductivity of the coatings was measured experimentally for various copper powders. Careful selection of blends of copper and PEEK powders coupled with optimized spraying parameters led to metal-polymer coatings onto CFRP with a fairly high electrical conductivity.

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“…In particular a detailed description of the interstice's shape and distribution is missing. A more complete modelling and simulation of coatings microstructure is presented in [27].…”

Section: Figure 19 -Optical Image (Cross-section) Of a Heterogeneous Coating Made Of Non-oxidized Copper Particlesmentioning

confidence: 99%

Electrical Conductivity of Metal–Polymer Cold Spray Composite Coatings onto Carbon Fiber-Reinforced Polymer

et al. 2020

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“…A multi-scale microstructure can be modelized by using Cox multi-scale Boolean models (Jeulin, 1996;Jean et al, 2011;Moreaud et al, 2018;Bortolussi et al, 2018). This process is defined by intersections and unions between objects and points, generated by several Poisson point processes, named Cox point processes (Jeulin, 1997;2012).…”

Section: Cox Multi-scale Boolean Modelsmentioning

confidence: 99%

Heterogeneity Assessment Based on Average Variations of Morphological Tortuosity for Complex Porous Structures Characterization

et al. 2020

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Morphological characterization of porous media is of paramount interest, mainly due to the connections between their physicochemical properties and their porous microstructure geometry. Heterogeneity can be seen as a geometric characteristic of porous microstructures. In this paper, two novel topological descriptors are proposed, based on the M-tortuosity formalism. Using the concept of geometric tortuosity or morphological tortuosity, a first operator is defined, the H-tortuosity. It estimates the average variations of the morphological tortuosity as a function of the scale, based on Monte Carlo method and assessing the heterogeneity of porous networks. The second descriptor is an extension, named the H-tortuosity-by-iterativeerosions, taking into account different percolating particle sizes. These two topological operators are applied on Cox multi-scale Boolean models, to validate their behaviors and to highlight their discriminative power.

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“…The Johnson-Mehl tessellation was originally introduced to model the growth of crystals. It is now a classical model in stochastic geometry (Johnson and Mehl, 1939;Møller, 1989;1992;1994), which has been employed to model numerous microstructures in materials engineering or geophysics applications (Ohser and Schladitz, 2009;Figliuzzi et al, 2016;Belhadj et al, 2018;Bortolussi et al, 2018). The Johnson-Mehl tessellation can be seen as a sequential version of the Voronoi model, for which the Poisson points are implanted sequentially according to their mark t. From this perspective, it is convenient to interprete the marks as implantation times.…”

Section: Mathematical Model Voronoi and Johnson-mehl Tessellationsmentioning

confidence: 99%

“…In addition, by relying on the developed methodology, we were able to develop a novel stochastic model enabling the generation of tessellations with rough interfaces between cells (Lee and Cowan, 1994;Lee, 1999;Jeulin, 2015). Models of tessellation with rough boundaries can find applications to describe microstructures for which the area of contact between components is a key geometrical feature that strongly influences the effective physical properties of the materials at the macroscopic scale (Bortolussi et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Eikonal-Based Models of Random Tessellations

Figliuzzi

2019

Image Anal Stereol

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In this article, we propose a novel, efficient method for computing a random tessellation from its vectorial representation at each voxel of a discretized domain. This method is based upon the resolution of the Eikonal equation and has a complexity in O(N log N), N being the number of voxels used to discretize the domain. By contrast, evaluating the implicit functions of the vectorial representation at each voxel location has a complexity of O(N²) in the general case. The method also enables us to consider the generation of tessellations with rough interfaces between cells by simulating the growth of the germs on a domain where the velocity varies locally. This aspect constitutes the main contribution of the article. A final contribution is the development of an algorithm for estimating the multi-scale tortuosity of the boundaries of the tessellation cells. The algorithm computes the tortuosity of the boundary at several scales by iteratively deforming the boundary until it becomes a straight line. Using this algorithm, we demonstrate that depending on the local velocity model, it is possible to control the roughness amplitude of the cells boundaries.

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Morphological Modeling of Cold Spray Coatings

Cited by 12 publications

References 19 publications

Electrical Conductivity of Metal–Polymer Cold Spray Composite Coatings onto Carbon Fiber-Reinforced Polymer

Electrical Conductivity of Metal–Polymer Cold Spray Composite Coatings onto Carbon Fiber-Reinforced Polymer

Heterogeneity Assessment Based on Average Variations of Morphological Tortuosity for Complex Porous Structures Characterization

Eikonal-Based Models of Random Tessellations

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