Abstract
Particle concentration and size distribution in the melt can give important information regarding the filtration efficiency and the quality of the aluminium. LiMCA (Liquid Metal Cleanliness Analyser) system, used in primary and secondary production of aluminium, provides in-situ data for granulometric and total density information on the inclusion content, but has problems quantifying particles < 20 urn in size.
To be able to determine the required cleanliness with particle counts down to 10 urn for modern alloys a novel method for automated quantitative results has been developed. Results are obtained using a user friendly technique based on the ImagePro® Plus 7.0 software. The different image processing steps adopted for automated quantification of the particle count in a size range from 2 to 50 urn is described and discussed together with the obtained results. The automated technique has been benchmarked elsewhere with a manual particle count reviling an error of ∼% on the overall filtration efficiency.
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References
B. Prillhofer and H. Antrekowitsch, “Abscheidung von nichtmetallischen Einschlüssen bei der Raffination von Aluminiumlegierungen,” BHM Berg-und Hüttenmännische Monatshefte, vol. 152, pp. 53–61, 2007.
B. Friedrich, C. Kräutlein, and K. Krone, “Melt Treatment of Copper and Aluminium-The Complex Step Before Casting,” in Proceedings of The International Conference on Continous Casting of Non-Ferrous Metals, Wiley-Vch, DGM, 2006, pp. 3–22.
J. Campbell, Complete Casting Handbook: Metal Casting Processes, Metallurgy, Techniques and Design: Elsevier, 2011.
D. E. Groteke, “The Reduction of Inclusions in Aluminium by Filtration,” Modern Casting, vol. 73, pp. 25–27, 1983.
K. Butcher and D. Rogers, “Update on the filtration of aluminium alloys with fine pore ceramic foam,” 1990, pp. 797–803.
R. Guthrie and M. Li, “In Situ detection of inclusions in liquid metals: Part II. Metallurgical applications of LiMCA systems,” Metallurgical and Materials Transactions B, vol. 32, pp. 1081–1093, 2001.
R. Fritzsch, B. Mirzaei, M. W. Kennedy, and R. E. Aune, “Automated Quantification of SiC-Particles in Solidified A356 Aluminium Using Imagepro® Plus 7.0,” Characterization of Minerals, Metals, and Materials 2013, pp. 67–77, 2013.
P. J. Burt, “Fast filter transform for image processing,” Computer graphics and image processing, vol. 16, pp. 20–51, 1981.
M. C. Powers, “A new roundness scale for sedimentary particles,” Journal of Sedimentary Research, vol. 23, pp. 117–119, 1953.
A. Çiftja, “Solar silicon refining; Inclusions, settling, filtration, wetting,” PhD, Department of Materials Science and Engineering, NTNU, Trondheim, 2009.
S. Saltykov, “Stereometric Metallography (2nd edn.) Metallurgizdat,” New York, 1958.
J. Gegner, “2D-3D conversion of object size distributions in quantitative metallography,” in Proceedings of the MMT-2006 conference, 2006, p. 3.
M. Kennedy, R. Fritzsch, S. Akhtar, J. Bakken, and R. Aune, “Electromagnetically Modified Filtration of Aluminium Melts Part II: Filtration Theory and Experimental Filtration Efficiency with and without Electromagnetic Priming for 30, 50 and 80 PPI Ceramic Foam Filters,” To be submitted to Metallurgical Transactions B, pp. 1–69, 2012.
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Fritzsch, R., Akbarnejad, S., Aune, R.E. (2014). A Novel Method for Automated Quantification of Particles in Solidified Aluminium. In: TMS 2014: 143rd Annual Meeting & Exhibition. Springer, Cham. https://doi.org/10.1007/978-3-319-48237-8_65
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DOI: https://doi.org/10.1007/978-3-319-48237-8_65
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-48593-5
Online ISBN: 978-3-319-48237-8
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