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Precipitation reconstruction of a diffusion brazed austenite joint with Ni-filler

  • J.L. Otto

    Johannes L. Otto works as Scientific Assistant at the Chair of Materials Test Engineering (WPT) at TU Dortmund University since July 2019. In addition to fatigue and corrosion investigations on diffusion brazed steel joints, he focuses on quantitative microstructure characterization based on image segmentation.

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    , M.I. Sönmez

    Marcel I. Sönmez got introduced to fatigue and corrosion investigations of diffusion brazed steel joints in 2022, during his project work at WPT. In 2024, he expanded his field as part of his bachelor thesis by performing image segmentations and creating 3D models to characterize the microstructure.

    , M. Brink , K. Donnerbauer , L.A. Lingnau , L. Reisch-Lang , L. Wojarski and F. Walther
Published/Copyright: November 22, 2024
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Abstract

The paper will explain the formation and effects of brittle precipitates in form of borides and silicides during high-temperature vacuum diffusion brazing on the example of a nickel-based filler metal from the NiCrSiB system. This filler metal foil was used to braze butt joints of the metastable austenite AISI 304L. Energy and wavelength dispersive X-ray spectroscopy was applied to identify the precipitates. Using a focused ion beam in scanning electron microscopy, the brazed joint was removed layer by layer over a large area to gain insights into the 3D structure of the precipitates. Subsequently, a methodology will be presented on how to reconstruct a 3D model from the image data using deep learning-based image segmentation. The final model unravels the complex morphology of these precipitates and thus contributes to a better understanding of the solidification and precipitation mechanisms in diffusion brazing.

Kurzfassung

Im vorliegenden Beitrag werden am Beispiel eines Lotes auf Nickelbasis aus dem NiCrSiB-System die Entstehung und Wirkung spröder Ausscheidungen erläutert, die in Form von Boriden und Siliciden beim Hochtemperatur-Vakuumdiffusionslöten auftreten. Die Lotfolie kam hier zum Löten von Stoßverbindungen aus metastabilem Austenit AISI 304L zum Einsatz. Zur Bestimmung der Ausscheidungen wurde mit energie- und wellenlängendispersiver Röntgenspektroskopie gearbeitet. Um Einblicke in die 3D-Struktur der Ausscheidungen zu gewinnen, wurde die Lötverbindung großflächig mithilfe eines fokussierten Ionenstrahls im Rasterelektronenmikroskop Schicht für Schicht abgetragen. Im Folgenden wird ein Verfahren vorgestellt, mit dem sich aus den Bilddaten mittels Deep Learning-basierter Bildsegmentierung ein 3D-Modell rekonstruieren lässt. Das fertige Modell enthüllt die komplexe Morphologie dieser Ausscheidungen und trägt so zu einem besseren Verständnis der beim Diffusionslöten ablaufenden Erstarrungs- und Ausscheidungsmechanismen bei.

About the authors

J.L. Otto

Johannes L. Otto works as Scientific Assistant at the Chair of Materials Test Engineering (WPT) at TU Dortmund University since July 2019. In addition to fatigue and corrosion investigations on diffusion brazed steel joints, he focuses on quantitative microstructure characterization based on image segmentation.

M.I. Sönmez

Marcel I. Sönmez got introduced to fatigue and corrosion investigations of diffusion brazed steel joints in 2022, during his project work at WPT. In 2024, he expanded his field as part of his bachelor thesis by performing image segmentations and creating 3D models to characterize the microstructure.

References / Literatur

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Received: 2024-06-10
Accepted: 2024-07-16
Published Online: 2024-11-22
Published in Print: 2024-11-26

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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