Research Papers

Generation of Three-Dimensional Microstructure Model for Discontinuously Reinforced Composite by Modified Random Sequential Absorption Method

[+] Author and Article Information
Jiming Zhou

Associate Professor
School of Mechanical Engineering,
Northwestern Polytechnical University,
Xi'an 710072, China
e-mail: zhoujm@nwpu.edu.cn

Lehua Qi

School of Mechanical Engineering,
Northwestern Polytechnical University,
Xi'an 710072, China
e-mail: qilehua@nwpu.edu.cn

Arun M. Gokhale

School of Materials Science and Engineering,
Georgia Institute of Technology,
Atlanta, GA 30332
e-mail: arun.gokhale@mse.gatech.edu

1Corresponding author.

Contributed by the Materials Division of ASME for publication in the JOURNAL OF ENGINEERING MATERIALS AND TECHNOLOGY. Manuscript received April 29, 2015; final manuscript received November 24, 2015; published online January 21, 2016. Assoc. Editor: Huiling Duan.

J. Eng. Mater. Technol 138(2), 021001 (Jan 21, 2016) (8 pages) Paper No: MATS-15-1104; doi: 10.1115/1.4032152 History: Received April 29, 2015; Revised November 24, 2015

Computer simulation of mechanical behavior of discontinuously reinforced composites containing randomly oriented short-fibers/whiskers presents an attractive opportunity for reduction of the number of experiments and resources required for microstructure design of such advanced materials. It is desirable to perform such simulations using microstructure model that accounts for randomness in angular orientations and locations of the short fibers/whiskers. In this contribution, a methodology is presented for efficient simulation of the required microstructural model through modification of well-known random sequential adsorption (RSA) algorithm for microstructure simulation through its application to the microstructure of Mg–alloy matrix composite containing randomly oriented short carbon fibers. The modified RSA algorithm enhances accuracy and efficiency of the complex geometric details of the randomly oriented short-fiber reinforced composite microstructure. Simulated microstructural model of composite is implemented in abaqus to simulate the mechanical response of the Mg–matrix composite containing randomly oriented short carbon fibers. The generated complex microstructure model in abaqus code is sliced into thin slices for reducing computing resources. The simulated results from multiple sliced models were averaged to approximate the result for the full volume element. The simulated mechanical response by use of multiple sliced models is validated via comparison with the experimental data.

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Fig. 1

Flowchart of the modified random sequential absorption method

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Fig. 2

Closest points (shortest distance) between two segments

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Fig. 3

Region G defined for the position of the closest points between two segments

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Fig. 4

Generated preform microstructural models for different types of composites: (a) short fiber reinforced composite (at aspect ratio = 15), (b) particle-reinforced composite (at aspect ratio = 1.4), and (c) hybrid composite with short fibers (at aspect ratio = 15) and particles (at aspect ratio = 1.4)

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Fig. 5

Matrix model for short fiber reinforced composite (at aspect ratio = 15)

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Fig. 6

Generation of the sliced thin 3D microstructure models (at aspect ratio = 15): (a) generation procedure of single-sliced microstructure model and (b) multislicked microstructure model for multisimulation

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Fig. 7

Microstructure model used to predict the performance of MMCs 10% volume fraction of short carbon fiber meshed before (a) and after (b) (at aspect ratio = 15)

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Fig. 8

Stress–strain curves for simulated results, experimental results, and used material model

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Fig. 9

Von Mises stress contour in matrix alloy (a) and fibers (b) at the global strain 1.5%

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Fig. 10

Distribution of the maximum principal stress in matrix and fibers




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