This investigation, concerning the optimization of ultrafine grinding of solids, has focused on a dynamic classifier for recovering the fine fraction, automatically recycling the oversize and reducing power consumption. Power consumption plays a major role in these energy intensive processes and depends on several parameters such as nature of the solid, degree of fineness of finished product and, above all, grain size of the feed. The study indicates the optimal conditions for a dynamic classifier, i.e.: geometric characteristics of the apparatus and its capacity, inlet air flowrate, dimensions of the classification circuit. It is also shown that a mean grain diameter (dm) of about 2.00 µm with top size (dmax) of 50 µm can be achieved with an imperfection value of below 0.40 and energy consumption of 215 kWht-1.
Some classification experiences with a dynamic classifier
SURRACCO, MARCO
2012-01-01
Abstract
This investigation, concerning the optimization of ultrafine grinding of solids, has focused on a dynamic classifier for recovering the fine fraction, automatically recycling the oversize and reducing power consumption. Power consumption plays a major role in these energy intensive processes and depends on several parameters such as nature of the solid, degree of fineness of finished product and, above all, grain size of the feed. The study indicates the optimal conditions for a dynamic classifier, i.e.: geometric characteristics of the apparatus and its capacity, inlet air flowrate, dimensions of the classification circuit. It is also shown that a mean grain diameter (dm) of about 2.00 µm with top size (dmax) of 50 µm can be achieved with an imperfection value of below 0.40 and energy consumption of 215 kWht-1.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
