Microstructure characterization of SiCp-reinforced aluminum matrix composites by newly developed computer-based algorithms

Kretz, Ferenc
Gacsi, Zoltan
Gür, Cemil Hakan
This paper presents a new approach for analyzing the microstructure of SiCp-reinforced aluminum matrix composites from digital images. Various samples of aluminum matrix composite were fabricated by hot pressing the powder mixtures with certain volume and size combinations of pure At and SiC particles. Microstructures of the samples were analyzed by computer-based image processing methods. Since the conventional methods are not suitable for separating phases of such complex microstructures, some new algorithms have been developed for the improved recognition of the particles in the metal matrix composites. One of the most determining attribute of composites structure is anisotropy, but the measurement of this parameter is very difficult and slow. For this reason, the anisotropy of metal matrix composites was investigated by the newly developed algorithm which has an optimized speed.


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The type, volume fraction, size, shape and arrangement of embedded particles influence the mechanical properties of the particle reinforced metal matrix composites. This presents the investigation of the SiC particle and porosity distributions in various aluminum matrix composites produced by cold- and hot-pressing. The inicrostructures were characterized by optical microscopy and stereological parameters. SiC and porosity volume fractions, and the anisotropy distribution function were measured to establish...
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Citation Formats
F. Kretz, Z. Gacsi, and C. H. Gür, “Microstructure characterization of SiCp-reinforced aluminum matrix composites by newly developed computer-based algorithms,” 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/42303.