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A novel method for automated quantification of particles in solidified aluminium
KTH, School of Industrial Engineering and Management (ITM), Materials Science and Engineering.ORCID iD: 0000-0002-7957-348X
KTH, School of Industrial Engineering and Management (ITM), Materials Science and Engineering, Materials Process Science.
2014 (English)In: TMS 2014 143rd Annual Meeting & Exhibition, Annual Meeting Supplemental Proceedings, The Minerals, Metals, and Materials Society, 2014, 535-543 p.Conference paper (Refereed)
Abstract [en]

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 μm in size. To be able to determine the required cleanliness with particle counts down' to 10 μm 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 μm 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 ∼3% on the overall filtration efficiency.

Place, publisher, year, edition, pages
The Minerals, Metals, and Materials Society, 2014. 535-543 p.
, TMS Annual Meeting
Keyword [en]
Automation, Image processing, ImagePro® Plus 7.0, Melt quality, Particle counting
National Category
Metallurgy and Metallic Materials
URN: urn:nbn:se:kth:diva-145499ISI: 000354941300065ScopusID: 2-s2.0-84899768457ISBN: 978-111888972-5OAI: diva2:718537
143rd Annual Meeting and Exhibition, TMS 2014; San Diego, CA; United States; 16 February 2014 through 20 February 2014

QC 20140521

Available from: 2014-05-21 Created: 2014-05-21 Last updated: 2015-08-18Bibliographically approved

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Akbarnejad, ShahinAune, Ragnhild Elizabeth
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