Automatic detection of fused tungsten carbides for the characterization of welding process
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Maik Rosenberger
Maik Rosenberger studied mechanical engineering deepening direction measurement and sensor technology at the Ilmenau University of Technology. From 2005 he worked as a project engineer in several subprojects at the Steinbeis Transferzentrum in Ilmenau. After his graduation, he became head of the research group QualiMess (2008–2013). Actually he works on several projects concerning image processing and measuring technologies.
Quality Assurance and Industrial Image Processing, Ilmenau University of Technology, Ilmenau, Germany
,
Chen Zhang
Quality Assurance and Industrial Image Processing, Ilmenau University of Technology, Ilmenau, Germany
Production Technology, Ilmenau University of Technology, Ilmenau, Germany
Production Technology, Ilmenau University of Technology, Ilmenau, Germany
Quality Assurance and Industrial Image Processing, Ilmenau University of Technology, Ilmenau, Germany
Abstract
This paper represents an imaged-based method for the quantitative characterization of the dissolution behaviour of fused tungsten carbide in the welding process. For the metallographic investigations based on microscopic images, a hybrid image segmentation procedure for the detection of hard phases is proposed to quantify their amount and distribution in the matrix material. With the help of this tool, the dependence of hard phase characteristic on the welding parameters was investigated.
Zusammenfassung
Dieser Beitrag stellt eine bildbasierte Methode für die quantitative Charakterisierung des Auflösungsverhaltens des verschmolzenen Wolframkarbides im Schweißprozess. Für die auf mikroskopischen Bildern basierenden metallographischen Untersuchungen wird ein hybrides Bildsegmentierungsverfahren zur Detektion der Hartphasen entwickelt, um deren Menge und Verteilung im Matrix-Material zu quantifizieren. Mit Hilfe dieses Verfahrens wurde die Abhängigkeit der Charakteristik der Hartphasen von den Schweißparametern untersucht.
Funding statement: Bundesministerium für Bildung und Forschung, (Grant/Award Number: `IP709X')
About the authors
Maik Rosenberger studied mechanical engineering deepening direction measurement and sensor technology at the Ilmenau University of Technology. From 2005 he worked as a project engineer in several subprojects at the Steinbeis Transferzentrum in Ilmenau. After his graduation, he became head of the research group QualiMess (2008–2013). Actually he works on several projects concerning image processing and measuring technologies.
Quality Assurance and Industrial Image Processing, Ilmenau University of Technology, Ilmenau, Germany
Quality Assurance and Industrial Image Processing, Ilmenau University of Technology, Ilmenau, Germany
Production Technology, Ilmenau University of Technology, Ilmenau, Germany
Production Technology, Ilmenau University of Technology, Ilmenau, Germany
Quality Assurance and Industrial Image Processing, Ilmenau University of Technology, Ilmenau, Germany
©2017 Walter de Gruyter Berlin/Boston
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Articles in the same Issue
- Frontmatter
- Editorial
- Optical characterization of materials 2017
- Beiträge
- Considering spectral variability for optical material abundance estimation
- Automatic detection of fused tungsten carbides for the characterization of welding process
- Durchführbarkeitsstudie zur Inline-Überwachung der Wärmeleitfähigkeit und der strukturellen Qualität von Kunststoffen im Heißextrusionsprozess mittels Infrarot-Thermographie
- Non-invasive assessment of the bioburden of minced pork using a hand-held fluorescence device
- Evaluation and comparison of NIR multi-product calibration methods for Brix prediction
- THz imaging for recycling of black plastics
- Motion-based material characterization in sensor-based sorting
