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Complex Shape Characterization by Statistical Analysis: Application to Aluminium Alloys

Abstract : The goal of this paper is to describe a methodology for characterizing 3D complex shapes using morphological features. First, we provide 3D morphological measurements for understanding complex shapes. Second, we explain the analysis method based on principal component analysis. We illustrate our approach on populations of intermetallic particles of aluminium alloys investigated using X-ray microtomography. In that case, the analysis provides a description of shapes with a limited number of parameters, with a morphological interpretation for each of them. We finally demonstrate the practical interest of our work by comparing two populations extracted from the same aluminium sample at two deformation stages of a hot rolling process.
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https://hal.archives-ouvertes.fr/hal-00681836
Contributor : Estelle Parra-Denis Connect in order to contact the contributor
Submitted on : Thursday, March 22, 2012 - 3:41:05 PM
Last modification on : Wednesday, November 17, 2021 - 12:27:12 PM

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  • HAL Id : hal-00681836, version 1

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Estelle Parra-Denis, Cécile Barat, Dominique Jeulin, Christophe Ducottet. Complex Shape Characterization by Statistical Analysis: Application to Aluminium Alloys. Materials Characterization, Elsevier, 2008, 59 (3), pp.338-343. ⟨hal-00681836⟩

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