Image Based Analysis of Complex Microstructures of Engineering Materials

Wejrzanowski, Tomasz; Spychalski, Wojciech; Różniatowski, Krzysztof; Kurzydłowski, Krzysztof

doi:10.2478/v10006-008-0003-1

Abstract

The paper presents various methods for quantitative description of material structures. The main focus is on direct methods of description based on image analysis. In particular, techniques for the estimation of the size, shape and spatial distribution of structural elements observed by different microscopic techniques are described. The application of these methods for the characterization of the structures of engineering materials is demonstrated on a stainless steel used in petrochemical installations. It is shown that the methods applied are useful for the assessment of service degradation of materials.

References

Armstrong R.W. (1983). The Yield and Flow Stress Dependence on Polycrystal Grain Size, Yield, Flow and Fracture of Polycrystals, Applied Science Publishers, London.
Search in Google Scholar
Baddeley A.J., Gundersen H.J.G. and Cruz-Orive L.M. (1986). Estimation of surface area from vertical sections, Journal of Microscopy142: 259-276.10.1111/j.1365-2818.1986.tb04282.x
Search in Google Scholar
Hall E. O. (1951). The Deformation and Ageing of Mild Steel: III Discussion of Results, Proceedings of the Royal SocietyB64(9): 747-753.10.1088/0370-1301/64/9/303
Search in Google Scholar
Jensen E.B. and Gundersen H.J.G. (1982). Stereological ratio estimation based on counts from integral test systems, Journal of Microscopy125: 51-66.10.1111/j.1365-2818.1982.tb00322.x
Search in Google Scholar
Kurzydłowski K.J. and Ralph B. (1995): The Quantitative Description of the Microstructure of Materials, CRC Press, London.
Search in Google Scholar
Spychalski W.L., Kurzydłowski K.J. and Ralph B. (2002). Computer study of inter- and intragranular surface cracks in brittle polycrystals, Materials Characterization49(9): 45-53.10.1016/S1044-5803(02)00281-4
Search in Google Scholar
Kril C.E. and Birringer R. (1998). Estimating Grain-Size Distributions in Nanocrystalline Materials form X-Ray Diffraction Profile Analysis, Philosophical Magazine A77(3): 621-640.10.1080/01418619808224072
Search in Google Scholar
Petch N.J. (1953). The cleavage strength of polycrystals, Journal of the Iron and Steel Institute174: 25-28.
Search in Google Scholar
Russ J.C. (1999). The Image Processing Handbook, CRC Press, London.
Search in Google Scholar
Susagna F., Yotte S., Riss J., Breysse D. and Ghosh S. (2000). Covariance and spatial distribution of particles in metal matrix composite, Proceedings of 6th International Conference on Stereology and Image Analysis in Materials Science, Cracow, Poland, pp. 397-402.
Search in Google Scholar
Wejrzanowski T. (2000). Computer Assisted Quantitative Description of the Functionally Graded Materials, M.Sc. thesis, Warsaw University of Technology, Warsaw, Poland.
Search in Google Scholar

Image Based Analysis of Complex Microstructures of Engineering Materials

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