Determination of a homogeneity factor for composite materials by a microstructural image analysis method
Gunes A Yakaboylu1, Edward M Sabolsky1
1Department of Mechanical and Aerospace Engineering, West Virginia University, Morgantown, West Virginia, U.S.A.
Journal of Microscopy
|February 21, 2017
Summary
A new method quantifies particle distribution in composite materials using a novel distribution (D) index. Higher D index values indicate poorer particle distribution, enabling accurate homogeneity assessment.
Area of Science:
- Materials Science
- Composite Materials Engineering
- Microstructural Analysis
Background:
- Particle distribution significantly influences the physical properties of particle-reinforced composites.
- Quantifying particle distribution homogeneity is crucial for material performance prediction.
- Existing methods may lack accuracy or efficiency in assessing microstructural homogeneity.
Purpose of the Study:
- To develop a novel microstructural image analysis method for quantifying particle distribution.
- To introduce a new distribution (D) index based on free-path spacing for assessing homogeneity.
- To validate the proposed method on digital and actual composite microstructures.
Main Methods:
- Development of a microstructural image analysis technique.
- Measurement of free-path spacing between particles.
- Calculation of the distribution (D) index using the coefficient of variation.
Main Results:
- The distribution (D) index ranged from 0.00 to 0.67 for reference patterns, correlating with homogeneity levels.
- A higher D index was found to correspond to poorer particle distribution (lower homogeneity).
- The method successfully classified homogeneity levels in binary composites and actual ceramic-matrix composites.
Conclusions:
- The proposed distribution (D) index is an accurate and efficient tool for quantifying particle distribution in composites.
- This method can be effectively applied to various composite microstructures, including ceramic-matrix composites.
- The developed technique aids in understanding and controlling microstructural homogeneity for optimized material properties.
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