Hazotte, Alain and Lacaze, Jacques Methodology to characterize microsegregation. (2007) Transactions of the Indian Institute of Metals, vol. 60 (n° 2). pp. 267-271. ISSN 0019-493X.
|(Document in English) |
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Chemical microsegregation resulting from solidification of metallic alloys is most often characterised by EDS or WDS microanalysis using spot measurements located along a regular grid. Due to experimental limitations, the wave lengths of both dendrite arms and analysis grid are often of the same order of magnitude. Although this fact is generally eluded, it complicates the statistical analysis of the results, in particular when the objective is to validate a given solidification model or to prove the occurrence of solid state diffusion. This is first illustrated in the present work by means of experimental analysis performed on an Al alloy. The problem is then tackled using 2D simulations of more or less periodic solidification structures which are sub-sampled along periodic or random point distributions of different surface densities. Statistics tools are used to compare the resulting chemical distributions with the solidification model (Gulliver-Scheil model) injected in the simulation. This allows pointing out the limitations of classical statistical approach in that case, and finally to propose an optimum –at least less bad- procedure to characterise microsegregated structures.
|Additional Information:||Thanks to Indian Institute of Metals editor. The definitive version is available at http://www.igcar.ernet.in/transiim/ The original PDF of the article can be found at Transactions of the Indian Institute of Metals website : http://www.igcar.ernet.in/transiim/|
|Audience (journal):||International peer-reviewed journal|
|Institution:|| Université de Toulouse > Institut National Polytechnique de Toulouse - INPT|
Université de Toulouse > Université Paul Sabatier-Toulouse III - UPS
Other partners > Université Paul Verlaine - UPV (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS
|Total amount of citations (from ISI Web of Science):||3|
|Deposited By:||Celine Cabaup|
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