Title of article :
New population balance model for predicting particle size evolution in compression grinding
Author/Authors :
Esnault، نويسنده , , V.P.B. and Zhou، نويسنده , , H. and Heitzmann، نويسنده , , D.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2015
Abstract :
Population Balance Models (PBM) are widely used to predict the evolution of the particle size distribution during various grinding processes, such as ball milling. They represent breakage through the definition of particle destruction and fragments generation rates. Their application to compression grinding (HPGR, vertical mills…) has been limited, due to the complexity of interactions between particles of different sizes.
s work, we present a new PBM approach for compression grinding. Complex interactions between size classes are represented in a simplified manner by making particle destruction and fragment generation depend on the bed porosity. Model is tested by confrontation to an extensive collection of experimental results on a piston-die cell, on three different materials (cement clinker, limestone, and quartz). When properly calibrated with preliminary tests, the model is able to predict the evolution of the particle size with accuracy, for any starting grain size distribution and any load.
Keywords :
Grinding , PBM , process modeling , comminution , HPGR
Journal title :
Minerals Engineering
Journal title :
Minerals Engineering