Monte carlo based strategy to simulate the microstructure evolution of the short-fiber reinforced metal matrix composites

Chao, Xujiang; Qi, Lehua; Ma, Wenjing; Ge, Jian; Tian, Wenlong

doi:10.1016/j.mtcomm.2022.104275

Cited by 4 publications

(3 citation statements)

References 26 publications

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“…The basic variant of RSA assumes the irreversible addition of non-overlapping particles and absence of desorption and diffusion effects. For simple one-component systems, the saturation (jamming) coverages were estimated for disks φ ≈ 0.5471 [5][6][7], and many other shapes, like ellipses, rectangles, squares, discorectangles, needles and fibers, regular polygons and more complex shapes [8][9][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Competitive random sequential adsorption of binary mixtures of disks and discorectangles

Lebovka,

Cieśla,

Petrone

et al. 2024

J. Phys. A: Math. Theor.

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The two-dimensional (2D) packings of binary mixtures of disks with diameter $d$ and discorectangles with aspect ratio $\varepsilon$ (length-to-width ratio $\varepsilon=l/d$) were studied numerically. The competitive random sequential adsorption (RSA) with simultaneous deposition of particles was considered. The aspect ratio was changed within the range $\varepsilon=1-10$. In the competitive model, the particle was selected with probability $p_d$ (disks) and $p_\varepsilon = 1- p_d$ (discorectangles), and then they were placed sequentially on a solid surface without overlapping with previously placed particles. Behavior of the total coverage in jamming state $\varphi_T$ at different values of $p_d$ and $\varepsilon$ was analyzed. For core-shell structure of the particles the percolation connectivity of films was also discussed.

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Section: Introductionmentioning

confidence: 99%

Competitive random sequential adsorption of binary mixtures of disks and discorectangles

Lebovka,

Cieśla,

Petrone

et al. 2024

J. Phys. A: Math. Theor.

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“…These random packings were in relatively stable configurations. 2D RSA problems were also investigated for other shapes, e.g., for deposition of ellipses [8,[19][20][21][22][23][24], rectangles [8,21,22,25,26], unoriented squares [27], discorectangles [8, 21-23, 25, 28], needles and fibers [20,21,[29][30][31][32], squares [13,27], regular polygons [33], and many other complex shapes [23,[34][35][36][37][38].…”

Section: Introductionmentioning

confidence: 99%

Percolation connectivity in deposits obtained usingcompetitive random sequential adsorption of binarydisk mixtures

Lebovka,

Petryk,

Vygornitskii

2024

Condens. Matter Phys.

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Connectedness percolation phenomena in the two-dimensional (2D) packing of binary mixtures of disks with different diameters were studied numerically. The packings were produced using random sequential adsorption (RSA) model with simultaneous deposition of disks. The ratio of the particle diameters was varied within the range D=1-10, and the selection probability of the small disks was varied within the range 0-1. A core-shell structure of the particles was assumed for the analysis of connectivity. The packing coverages in a jamming state for different components, connectivities through small, large and both types of disks, the behavior of electrical conductivity were analyzed. The observed complex effects were explained accounting for the formation of conductive "bridges" from small disks in pores between large disks.

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“…As a result, the mechanisms of the microstructure evolution are different, too. The main methods for microstructure simulation include the phase field method [17], cellular automation [18], and the Monte Carlo method [19]. Hosseinzadeh simulated the microstructural evolution of NiTi alloys through a multiscale numerical model, which is divided into two parts: thermal analysis and microstructure evolution [20].…”

Section: Introductionmentioning

confidence: 99%

An Analysis of the Mapping Relationship between Microstructure and Solidification Parameters during Aluminum Fused Coating

Zhao,

Zhang,

Yang

2023

Metals

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Metal fused-coating technology has the advantages of both low cost and high efficiency and is a new additive manufacturing technology in recent years. The previous studies were mainly aimed at the optimization of process parameters and the control of the surface quality of parts, while there were few theoretical analyses on the microstructure morphology after solidification. A three-dimensional transient numerical model was established to calculate temperature gradient and solidification rate, considering the changes in material physical properties with temperature during the calculation process. The temperature gradient on the substrate surface is jointly affected by the melt flowing out of the nozzle and the welding arc. It was found that the solidification front of the aluminum alloy was in an unstable state during the coating process. When the value of G/R decreases, the microstructure of the solidification interface gradually changes from columnar crystals to columnar dendrites and equiaxial crystals. The microstructure at the bottom of both the molten pool and coating layer is columnar crystal, while the microstructure at the upper part is equiaxed crystal.

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Monte carlo based strategy to simulate the microstructure evolution of the short-fiber reinforced metal matrix composites

Cited by 4 publications

References 26 publications

Competitive random sequential adsorption of binary mixtures of disks and discorectangles

Competitive random sequential adsorption of binary mixtures of disks and discorectangles

Percolation connectivity in deposits obtained usingcompetitive random sequential adsorption of binarydisk mixtures

An Analysis of the Mapping Relationship between Microstructure and Solidification Parameters during Aluminum Fused Coating

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