Automated Metal Cleanliness Analyzer (AMCA): Digital Image Analysis Phase Differentiation and Benchmarking Against PoDFA-Derived Cleanliness Data

Author:

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

Publisher

Springer Nature Switzerland

Reference8 articles.

1. ‘PoDFA, The complete solution for inclusion measurement, Inclusion identification and quantification analysis’. ABB Inc., 2016. [Online]. Available: https://library.e.abb.com/public/b706913462934969befe277d80880795/PB_PoDFA-EN_A.pdf.

2. P. V. Evans, P. G. Enright, and R. A. Ricks, ‘Molten Metal Cleanliness: Recent Developments to Improve Measurement Reliability’, in Light Metals 2018, O. Martin, Ed. Cham: Springer International Publishing, 2018, pp. 839–846. https://doi.org/10.1007/978-3-319-72284-9_109.

3. H. Duval, C. Rivière, É. Laé, P. Le Brun, and J.-B. Guillot, ‘Pilot-Scale Investigation of Liquid Aluminum Filtration through Ceramic Foam Filters: Comparison between Coulter Counter Measurements and Metallographic Analysis of Spent Filters’, Metall. Mater. Trans. B, vol. 40, no. 2, pp. 233–246, Apr. 2009. https://doi.org/10.1007/s11663-008-9222-y.

4. H. Zedel, R. Fritzsch, S. Akhtar, and R. E. Aune, ‘Automated Metal Cleanliness Analyzer (AMCA)—An Alternative Assessment of Metal Cleanliness in Aluminum Melts’, in Light Metals 2021, L. Perander, Ed. Cham: Springer International Publishing, 2021, pp. 778–784. https://doi.org/10.1007/978-3-030-65396-5_102.

5. H. Zedel, R. Fritzsch, S. Akhtar, and R. E. Aune, ‘Estimation of Aluminum Melt Filtration Efficiency Using Automated Image Acquisition and Processing’, in Light Metals 2019, C. Chesonis, Ed. Cham: Springer International Publishing, 2019, pp. 1113–1120. https://doi.org/10.1007/978-3-030-05864-7_136.

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