Further studies on the use of classifiers for the control of wet grinding circuits

The use of inferential particle sizing for wet grinding circuit control is well established in the literature. In this paper an analytical development is presented which yields a general inferential sizing model relating circuit product size to $\text{d}{}_{50}$ corrected for the circuits' classifier. It is then shown how the different forms of empirical equations reported in the literature can arise, depending on the range of the operating variables and the ratio of feed 50% passing size to $\text{d}{}_{50}$ corrected. Following this development, data show pilot plant and industrial plant operations to behave as predicted by the general inferential size model.