Image processing for characterization of iron ore pellets using geostatistical instruments
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Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
TMMOB Maden Muhendisleri Odasi
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Approximately in the last 20 years, the computational methods have advanced very fast and affected a vast range of discipline. Also, new dimensions in the applications have appeared as parallel to development of computing technology. One of the study methods requiring exhaustive data processing in the earth related science is geostatistics. Iron ore pellets are produced by using magnetite or hematite concentrate together with a binder and water addition. The raw pellets are sintered to produce the sufficiently strong pellets. Some parameters such as type of the binder, addition amount of the binder and sintering conditions affect the quality of the product pellets. The physical quality of the product pellets can be determined by physical pellet testing methods. Physical quality of pellets can be considered as function of sintering conditions. In this study, sintering properties of magnetite pellets produced with bentonite binder are examined by geostatistical image processing method. Polished samples of the pellets were prepared and micro images were taken by a stereomicroscope. The micro images are processed by ISATIS software and converted to digitised images. Models are analysed using geostatistical instruments like kriging and image filtering. The obtained data are used to examine the sintering properties of the pellet matrix. The differences in the pellet matrix (core, inner shell and outer shell) may be used to understand the sintering properties of the pellets. The results may be correlated with the physical quality parameter of the pellets.
Açıklama
25th International Mining Congress of Turkey: New Trends in Mining, IMCET 2017 -- 11 April 2017 through 14 April 2017 -- Antalya -- 127813
Anahtar Kelimeler
Binders, Bins, Data handling, Image processing, Iron ores, Magnetite, Matrix algebra, Ore pellets, Pelletizing, Produced Water, Sintering, Testing, Computing technology, Geo-statistics, Image filtering, Image processing - methods, Pellet testing, Physical quality, Sintering condition, Sintering properties, Iron ore pellets
Kaynak
IMCET 2017: New Trends in Mining - Proceedings of 25th International Mining Congress of Turkey
