Computer simulations of realistic microstructures of discontinuously reinforced aluminum alloy (DRA) composites

Singh, Harpreet; Gokhale, A.M.; Mao, Y.; Spowart, Jonathan E.

doi:10.1016/j.actamat.2005.12.037

Cited by 37 publications

(21 citation statements)

References 28 publications

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“…[42][43][44][45][46] A two-point correlation function can represent the probability that a particular object exists at a specific distance and along a specific direction from a chosen location. Two-point correlations of this type [46] were calculated for the relationships between the following pairs of microstructural features: (1) cavities and cavities (cavity/cavity), (2) Al 6 (Mn,Fe) particles and Al 6 (Mn,Fe) particles (Al 6 (Mn,Fe)/Al 6 (Mn,Fe)), (3) Al 6 (Mn,Fe) particles and cavities (Al 6 (Mn,Fe)/cavity), and (4) Mg-Si particles and cavities (Mg-Si/cavity).…”

Section: Methodsmentioning

confidence: 99%

Effect of Microstructure on Cavitation during Hot Deformation of a Fine-Grained Aluminum-Magnesium Alloy as Revealed through Three-Dimensional Characterization

Chang

Taleff

Krajewski

2009

Metall Mater Trans A

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The effect of microstructure on cavitation developed during hot deformation of a fine-grained AA5083 aluminum-magnesium alloy is investigated. Two-point correlation functions and threedimensional (3-D) microstructure characterization reveal that cavitation depends strongly on the mechanism that controls plastic deformation. Grain-boundary-sliding (GBS) creep produces large, interconnected cavities rapidly during plastic straining. Solute-drag (SD) creep produces isolated cavities with less total volume fraction at a given strain. The 3-D microstructure data reveal adjacency between various microstructural features. Cavities are observed to be preferentially adjacent to large Al 6 (Mn,Fe) particles and to Mg-Si particles of all observed sizes. These data suggest that cavities preferentially nucleate at Mg-Si particles and at large Al 6 (Mn,Fe) particles. This result may be applied to reduce cavitation in commercial hot-forming operations utilizing aluminum-magnesium alloys.

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Section: Methodsmentioning

confidence: 99%

Effect of Microstructure on Cavitation during Hot Deformation of a Fine-Grained Aluminum-Magnesium Alloy as Revealed through Three-Dimensional Characterization

Chang

Taleff

Krajewski

2009

Metall Mater Trans A

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“…Tessellation techniques, 12,13) correlation functions, [14][15][16] nearest neighbor distances [17][18][19] contact distribution 20) and counting methods 21) have been suggested to describe the spatial distribution of second phase particles, but these definitions and characterization methods of the spatial distribution are still limited in scope.…”

Section: Introductionmentioning

confidence: 99%

“…The 3-dimensional spatial distribution is also evaluated by serial sectioning method 10,22) or synchrotron Xray micro-tomography, 23) but these techniques are not common. Computer modeling is a powerful tool for analyzing the 3-dimensional spatial distribution of second phase particles, and some researchers [14][15][16][17]24) have investigated the statistical relationship between 3-and 2-dimensional spatial distributions. If the simple statistical relationship between 3-and 2-dimensional spatial distributions is derived, material behaviors of PMMCs may be predicted only by the 2-dimensional spatial distribution, which is evaluated by analyzing SEM or OM images.…”

Section: Introductionmentioning

confidence: 99%

Statistical Relationship between Three- and Two-Dimensional Spatial Distributions of Dispersed Phases

et al. 2007

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We defined 3-dimensional local number, LN3D, 2-dimensional local number, LN2D, and their probability distribution to describe the spatial distribution of second phase particles, and then suggested the statistical relationship of probability distributions between LN2D and LN3D concerning uniform random and clustering spatial distributions. The relationship was validated by computer experiments using particles of overlap permissive spheres, and was applied to the real microstructures of Al-10 vol%SiC composites. Using the relationship, probability distributions of either LN3D or LN2D could be predicted from the measured relative frequency distributions of another dimension in computer experiments with satisfactory accuracy. Using the relationship, the probability distributions of LN3D was approximately predicted from the relative frequency distributions of LN2D that were obtained by measurements of spatial distributions of SiC particles in Al-SiC composites.

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“…Over the last decade, experimental and numerical studies [1][2][3][4][5][6][7][8][9][10][11] have been indicated that the spatial distribution of second phase particles played an important role on the mechanical properties. Tessellation techniques, 12,13) correlation functions, [14][15][16] nearest neighbor distances [17][18][19] contact distribution 20) and counting methods 21) have been suggested to describe the spatial distribution of second phase particles. However, the developments of techniques for characterizing the spatial distribution of second phase particles have not been enough.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Spatial Distribution Randomness of Overlap Permissive Second Phase in Three- and Two-Dimensions

et al. 2007

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Three-dimensional local number, LN3D, and two-dimensional local number, LN2D, were defined as the number of gravity centers (GCs) of second phase particles in the measuring sphere and circle with specially determined radiuses, respectively, whose centers were put on GCs of noticed particles. LN3D and LN2D represent local number density including a noticed and its neighboring particles and each particle has a specific value. We suggested the quantitative method to evaluate the particle spatial distribution using the relative frequency distributions of LN3D and LN2D, and this method was examined by computer experiments using overlap permissive spheres. It was shown that randomness of second phase particles was correctly evaluated in 3-and 2-dimensions by this method, and the average and variance of LN3D and LN2D are proper descriptors to evaluate the spatial distribution randomness of second phase particles. It was also shown that spatial distribution randomness of 2-dimensional particles appeared on cut planes of 3-dimensional particles having uniform random arrangement can be evaluated by this method regardless of both the particle volume fraction and the particle size distribution.

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Computer simulations of realistic microstructures of discontinuously reinforced aluminum alloy (DRA) composites

Cited by 37 publications

References 28 publications

Effect of Microstructure on Cavitation during Hot Deformation of a Fine-Grained Aluminum-Magnesium Alloy as Revealed through Three-Dimensional Characterization

Effect of Microstructure on Cavitation during Hot Deformation of a Fine-Grained Aluminum-Magnesium Alloy as Revealed through Three-Dimensional Characterization

Statistical Relationship between Three- and Two-Dimensional Spatial Distributions of Dispersed Phases

Evaluating Spatial Distribution Randomness of Overlap Permissive Second Phase in Three- and Two-Dimensions

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