Particle size control of feed entering to mineral processing equipment which is essential in optimization of circuit performance is normally performed by hydrocyclones. Increase in hydrocyclone dimension increases cut size. Therefore its application in industrial scale follows difficulties. In Contrast, cut size of Reflux classifier obtained with combination of inclined separator and fluidized bed classifier is independent from dimension. In this work, classification performance of reflux classifier for possibility of cut size about 45 microns was investigated. Capacity and cut size of Reflux classifier was 9.3 to 15 t.m-2.h-1 and 74 to 132 microns, respectively. Also linear correlation in the form of Y=aX between water flow rate in overflow and cut size was observed that can be used in design and scale up stage. On this basis the capacity of reflux classifier for about 45microns was estimated equal to 5.12 t.m-2.h-1.
Jalali, S., Ataeepour, M., Shahriar, K., & Elahi Zeyni, E. (2007). A Computer Program to Optimize Stope Boundaries
Using Probable Stope Algorithm. Journal of Mining Engineering, 2(3), 7-14.
MLA
S.M.E Jalali; M Ataeepour; K Shahriar; E Elahi Zeyni. "A Computer Program to Optimize Stope Boundaries
Using Probable Stope Algorithm". Journal of Mining Engineering, 2, 3, 2007, 7-14.
HARVARD
Jalali, S., Ataeepour, M., Shahriar, K., Elahi Zeyni, E. (2007). 'A Computer Program to Optimize Stope Boundaries
Using Probable Stope Algorithm', Journal of Mining Engineering, 2(3), pp. 7-14.
VANCOUVER
Jalali, S., Ataeepour, M., Shahriar, K., Elahi Zeyni, E. A Computer Program to Optimize Stope Boundaries
Using Probable Stope Algorithm. Journal of Mining Engineering, 2007; 2(3): 7-14.
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