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2019 | OriginalPaper | Chapter

Estimation of Aluminum Melt Filtration Efficiency Using Automated Image Acquisition and Processing

Authors : Hannes Zedel, Robert Fritzsch, Shahid Akhtar, Ragnhild E. Aune

Published in: Light Metals 2019

Publisher: Springer International Publishing

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Abstract

The estimation/measurement of the concentration and size distribution of particles/inclusions/intermetallics in aluminum melts is critical for high-end aluminum products, especially for automotive and aerospace applications. To meet future challenges, particles/inclusions of less than 10 µm in diameter need to be distinguished. Established methods such as the Liquid Metal Cleanliness Analyzer (LiMCA), Porous Disc Filtration Apparatus (PoDFA), or K-Mold have all their limitations, and are neither cost- nor time-efficient. In the present work computational algorithms for automated image acquisition and processing have been developed, tested and further optimized. A Matlab implementation is used for the processing, control and data management of the automatically acquired micrographs, while contrast enhancing functions and geometrical operations are used to identify the particles. The code is benchmarked by replicating manual counts of the same images down to a particle diameter of 5 μm.

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previous chapter Laboratory Scale Study of Reverse Priming in Aluminium Filtration
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Metadata
Title
Estimation of Aluminum Melt Filtration Efficiency Using Automated Image Acquisition and Processing
Authors
Hannes Zedel
Robert Fritzsch
Shahid Akhtar
Ragnhild E. Aune
Copyright Year
2019
Book
Light Metals 2019

Print ISBN: 978-3-030-05863-0

Electronic ISBN: 978-3-030-05864-7

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-05864-7_136

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