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Qualitative and quantitative determination of micro-inclusions by automated SEM/EDX analysis

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Abstract

With the help of an automated SEM/EDX analysis system non-metallic micro-inclusions in steel can be detected on a metallographically prepared surface area. The system makes it possible to determine position, size, shape and composition of each particle. Usually more than 1000 inclusions are found on one scan area. Therefore a new offline evaluation method has been developed to classify the large amount of inclusions and calculate specific size and shape data. A summary sheet is created to show the area contents and the mean values of all important properties for each class. Size and XY distributions as well as binary and ternary phase diagrams are drawn to depict the results. The strengths of this analytical technique are demonstrated by evaluation of an LC (low-carbon) steel. Alumina, common spinel, sulfide and oxisulfide inclusions could be identified as dominant inclusion types in LC steel.

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Acknowledgements

The authors gratefully acknowledge financial support of the KnetMET: Industrial Competence network for metallurgical and environmental-technically process development supported by the Federal Ministry for economic affairs and labour, the State of Upper Austria, the State of Styria, and the Steirischen Wirtschaftsförderungsgesellschaft m.b.H.

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Authors and Affiliations

  1. voestalpine Stahl GmbH, Voest-Alpine-Str. 3, P.O. Box 3, 4031, Linz, Austria

    Markus Nuspl, Johann Angeli, Wilhelm Posch & Michael Mayr

  2. Institute for General and Analytical Chemistry, University of Leoben, Franz-Josef-Str. 18, 8700, Leoben, Austria

    Wolfhard Wegscheider

Authors
  1. Markus Nuspl
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  2. Wolfhard Wegscheider
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  3. Johann Angeli
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  4. Wilhelm Posch
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  5. Michael Mayr
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Correspondence to Markus Nuspl.

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Nuspl, M., Wegscheider, W., Angeli, J. et al. Qualitative and quantitative determination of micro-inclusions by automated SEM/EDX analysis. Anal Bioanal Chem 379, 640–645 (2004). https://doi.org/10.1007/s00216-004-2528-y

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  • DOI: https://doi.org/10.1007/s00216-004-2528-y

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