Results of a round robin test on grain boundary determination by image analysis in the DGM working group ‘Quantitative Structural Analysis’
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M. Witte
Marco Witte born 1981; Studied Physics at TU Braunschweig and received his PhD at the chair of Physical Metallurgy at RWTH Aachen University. Since 2013 he works as expert for Physical Metallurgy at Salzgitter Mannesmann Forschung GmbH with a focus on X-ray diffraction, electron microscopy and image analysis. Since 2023 he is heading the DGM work group for quantitative microstructure analysis.
Abstract
The DGM working group “Quantitative Structural Analysis” (QGA, Quantitative Gefügeanalyse) within the Expert Committee “Materialography” is concerned with current issues and methods for analyzing micrographs. The following gives an overview of the focal areas and activities of this working group.
Furthermore, the results of a round robin test on the determination of grain boundaries involving 28 participants from 12 different laboratories are presented. As part of the round robin test, grain sizes were determined in micrographs of various materials using both the line intercept method and grain boundary segmentation. In addition to reviewing the round robin test against the background of a comparison of the results of different laboratories and participants, special attention is paid to evaluating the various measurement parameters and image processing steps with regard to their precision. Best practice recommendations are drawn from this review.
Kurzfassung
Der DGM Arbeitskreis Quantitative Gefügeanalyse (QGA) im Fachausschuss Materialographie beschäftigt sich mit aktuellen Fragestellungen und Methoden zur Analyse von Gefügebildern. Es wird ein Überblick über die Schwerpunkte und Aktivitäten dieses Arbeitskreises gegeben.
Im Weiteren werden die Ergebnisse eines Ringversuches zur Korngrenzenbestimmung vorgestellt, mit 28 Teilnehmern von 12 verschiedenen Laboren. In diesem Ringversuch wurden Korngrößen von Schliffbildern unterschiedlicher Werkstoffe sowohl mittels Linienschnittverfahren als auch mittels einer Segmentierung der Korngrenzen bestimmt. Ergänzend zur Bewertung des Ringversuchs unter dem Aspekt eines Ergebnisvergleichs zwischen verschiedenen Laboren und Teilnehmern, wird ein besonderes Augenmerk auf die Bewertung der verschiedenen Messparameter und Bildbearbeitungsschritte hinsichtlich ihrer Präzision gelegt. Aus dieser Bewertung werden Empfehlungen für eine „Best-Practice“ abgeleitet.
About the author
Marco Witte born 1981; Studied Physics at TU Braunschweig and received his PhD at the chair of Physical Metallurgy at RWTH Aachen University. Since 2013 he works as expert for Physical Metallurgy at Salzgitter Mannesmann Forschung GmbH with a focus on X-ray diffraction, electron microscopy and image analysis. Since 2023 he is heading the DGM work group for quantitative microstructure analysis.

References / Literatur
[1] Sonntag, U.; Pham, T. P.; Frieß, J.: Modified Determination of Flake Length Distribution in Lamellar Grey Iron (GJL). Pract. Metallogr. 57 (2020) 11, pp. 795–808 DOI:10.3139/147.11066610.3139/147.110666Suche in Google Scholar
[2] Frieß, J.; Sonntag, U.: Schlussbericht zu IGF-Vorhaben Nr. 19363 N (2019).Suche in Google Scholar
[3] Schmies, L.; Botsch, B.; Le, Q. H.; Yarysh, A.; Sonntag, U.; Hemmleb, M.; Bettge, D.: Classification of fracture characteristics and fracture mechanisms using deep learning and topography data. Pract. Metallogr. 60 (2023) 2, pp. 76–92. DOI:10.1515/pm-2022-100810.1515/pm-2022-1008Suche in Google Scholar
[4] Müller, M.; Stanke, G.; Sonntag, U.; Britz, D.; Mücklich, F.: Segmentation of Lath-Like Structures via Localized Identification of Directionality in a Complex-Phase Steel. Metallogr. Microstruct. Anal. 9 (2020), pp. 709–720. DOI:10.1007/s13632-020-00676-910.1007/s13632-020-00676-9Suche in Google Scholar
[5] Rathod, K.; Choudhary, A. K.; Jansche, A.; Ketzer-Raichle, G.; Bernthaler, T.; Schneider, G.: GeGra: Approaching a generic model for quantitative grain size analysis from materials microscopy data using deep learning. Mater. Charact. 217 (2024), p. 114379 DOI:10.1016/j.matchar.2024.11437910.1016/j.matchar.2024.114379Suche in Google Scholar
© 2025 Walter de Gruyter GmbH, Berlin/Boston, Germany
Artikel in diesem Heft
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- Preparation of aluminum thin films and laminates
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- Results of a round robin test on grain boundary determination by image analysis in the DGM working group ‘Quantitative Structural Analysis’
- Deep learning-based precipitate quantification in STEM images of complex steel microstructures
- A bronze fibula foot from the Roman Carnuntum, Lower Austria
- Optimization of preparation methods for EBSD analysis of highly metastable austenitic steels
- Picture of the Month
- Picture of the Month
- People
- Interview with Gaby Ketzer-Raichle on the occasion of the new edition of “Schumann Metallography”, published by Heinrich Oettel and Gaby Ketzer-Raichle
- News
- News
- Meeting Diary
- Meeting Diary
Artikel in diesem Heft
- Contents
- Editorial
- Editorial
- Evaluation of damage mechanisms in full-forward rod extruded AISI 5115 steel by AI-based image segmentation
- A roll-headed pin from Getzersdorf, Austria, opens up interesting questions about iron metallurgy in the Hallstatt period
- Magneto-optical Kerr effect analysis of strain-induced martensite formation during flow forming of metastable austenitic steel AISI 304L
- Materials scientific challenges of a circular economy of high-alloy tool steels
- Cavitation-induced damage on a ship propeller’s Kort nozzle made of AISI 316L and investigation of the near-surface microstructural changes
- Preparation of aluminum thin films and laminates
- Preparation and microstructural examination of additively manufactured alloys 316L and 17-4PH
- Results of a round robin test on grain boundary determination by image analysis in the DGM working group ‘Quantitative Structural Analysis’
- Deep learning-based precipitate quantification in STEM images of complex steel microstructures
- A bronze fibula foot from the Roman Carnuntum, Lower Austria
- Optimization of preparation methods for EBSD analysis of highly metastable austenitic steels
- Picture of the Month
- Picture of the Month
- People
- Interview with Gaby Ketzer-Raichle on the occasion of the new edition of “Schumann Metallography”, published by Heinrich Oettel and Gaby Ketzer-Raichle
- News
- News
- Meeting Diary
- Meeting Diary