Digital image processing (DIP) application on the evaluation of iron-rich heavy mineral concentrates produced from river sand using a sequential mineral processing approach
Yükleniyor...
Tarih
2021
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Oficyna Wydawnicza Politechniki Wroclawskiej
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this study, the iron-rich heavy mineral concentrate production from river sand as a byproduct of an alternative resource by gravity, magnetic separation, and flotation methods were investigated in detail. For the physical separation of the sample and increasing the Fe2O3 content, a shaking table and a wet high-intensity magnetic separator were used, respectively. The gravity and magnetic separation experiments included rougher, cleaner, and scavenger circuits. In the flotation experiments, cationic flotation with ethylenediamine under acidic conditions, and anionic flotation with sodium oleate under alkaline conditions were performed. The iron and silica content of the products obtained were determined by digital image processing (DIP) methods and compared with the classical analytical procedures. Finally, a flow chart was proposed for the processing of the ore according to the optimum enrichment parameters were determined from the experiments. The results obtained in this study show that it is possible to produce an iron-rich heavy mineral concentrate with Fe2O3 grade and recovery rate of 79.13% and 57.81%, respectively, in addition to a potential feed for the production of quartz sand and feldspar concentrates.
Açıklama
Anahtar Kelimeler
Flotation, Gravity separation, Iron, Magnetic separation, Magnetite, Silica
Kaynak
Physicochemical Problems of Mineral Processing
WoS Q Değeri
Q4
Scopus Q Değeri
Cilt
57
Sayı
3
Künye
Terzi, M., Ünver, I. K., Çınar, M., & Özdemir, O. (2021). Digital image processing (DIP) application on the evaluation of ironrich heavy mineral concentrates produced from river sand using a sequential mineral processing approach. Physicochemical Problems of Mineral Processing, 57(3), 21-35. doi:10.37190/ppmp/134216
