Optimization a SAG Mill-Pebble Crusher Circuit By Controlling Crusher Operational Parameters

摘要

To deal with the critical size particles in semi-autogenous (SAG) or autogenous mills (AG), such a circuit generally contains a pebble (cone) crusher. It is often the case that the pebbles crusher is oversized, and thus not fully utilized. The hypothesis put forward here is that active control of the cone crusher's speed and closed side setting (CSS) can increase throughput and/or energy efficiency of the SAG circuit. To verify this hypothesis, a dynamic model of a SAG-mill was implemented. The SAG-model is based on results presented by several different researchers, whose results here have been combined and implemented in Matlab/Simulink.Previous research shows that by controlling the cone crusher operational parameters, the product particle size distribution (PSD) can be altered. However, few papers have been published about whether the changes of the pebbles crusher's output PSD, lead to a higher performance of the SAG circuit. This paper examines the relations between SAG mill and pebble crusher in one closed circuit while putting emphasis on an optimized algorithm on controlling pebble crusher.