Microstructure Characterization of SiCp-Reinforced Aluminum Matrix Composites by Newly Developed Computer-Based Algorithms


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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 Al 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.



Materials Science Forum (Volumes 534-536)

Edited by:

Duk Yong Yoon, Suk-Joong L. Kang, Kwang Yong Eun and Yong-Seog Kim




F. Kretz et al., "Microstructure Characterization of SiCp-Reinforced Aluminum Matrix Composites by Newly Developed Computer-Based Algorithms", Materials Science Forum, Vols. 534-536, pp. 909-912, 2007

Online since:

January 2007




[1] M. Sezgin, B. Sankur: Journal of Electronic Imaging Vol. 13 (2004), p.146.

[2] Information on http: /www. sdm. buffalo. edu/scic.

[3] Information on http: /www. uhnres. utoronto. ca/facilities/wcif.

[4] C. P. Ling, M. B. Bush, D. S. Perera: Journal of Materials Processing Technology Vol. 48 (1995), p.325.

[5] A.M. Davidson, D. Regener: Composites Science and Technology Vol. 60 (2000), p.865.

[6] B. Ogel, R. Gurbuz: Materials Science and Engineering A301 (2001), p.213.

[7] G. O'Donnell, L. Looney: Materials Science and Engineering A303 (2001), p.292.

[8] Z. Gácsi, J. Kovács, T. Pieczonka: Powder Metallurgy Progress. Journal of Science and Technology of Particle Materials Vol. 3 (2003), p.30.

[9] Z. Gácsi: The Application of Digital Image Processing to Materials Science. Materials Science, Testing and Informatics, edited by J. Gyulai, Vol. 414-415 of Materials Science Forum (2002), p.213.

DOI: https://doi.org/10.4028/www.scientific.net/msf.414-415.213

[10] C.H. Gur: Materials Science and Engineering A361 (2003).