Image processing for characterization of iron ore pellets using geostatistical instruments

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dc.contributor.authorYunsel, T.Y.
dc.contributor.authorSivrikaya, O.
dc.date.accessioned2025-01-06T17:29:45Z
dc.date.available2025-01-06T17:29:45Z
dc.date.issued2017
dc.description25th International Mining Congress of Turkey: New Trends in Mining, IMCET 2017 -- 11 April 2017 through 14 April 2017 -- Antalya -- 127813
dc.description.abstractApproximately 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.
dc.identifier.endpage229
dc.identifier.isbn978-605011008-1
dc.identifier.scopus2-s2.0-85021845882
dc.identifier.startpage222
dc.identifier.urihttps://hdl.handle.net/20.500.14669/1338
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTMMOB Maden Muhendisleri Odasi
dc.relation.ispartofIMCET 2017: New Trends in Mining - Proceedings of 25th International Mining Congress of Turkey
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectBinders
dc.subjectBins
dc.subjectData handling
dc.subjectImage processing
dc.subjectIron ores
dc.subjectMagnetite
dc.subjectMatrix algebra
dc.subjectOre pellets
dc.subjectPelletizing
dc.subjectProduced Water
dc.subjectSintering
dc.subjectTesting
dc.subjectComputing technology
dc.subjectGeo-statistics
dc.subjectImage filtering
dc.subjectImage processing - methods
dc.subjectPellet testing
dc.subjectPhysical quality
dc.subjectSintering condition
dc.subjectSintering properties
dc.subjectIron ore pellets
dc.titleImage processing for characterization of iron ore pellets using geostatistical instruments
dc.typeConference Object

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