Optimisation of the size distribution of ball mill product by modelling grinding variables using DX8 software

Abstract

ABSTRACT Proposed approaches for optimisation of size distribution of ball mill product are to minimise the product 80% passing size or to reach the desired product size while minimising the amount of −37 μm fraction to prevent overgrinding. Grinding experiments were conducted using a laboratory ball mill with copper sulphide ore. The d80 and the amount of −37 μm fraction in the product were defined as process responses to model the ball mill grinding based on Box-Bhenken design method using DX software. Ball size, grinding time and solid content of ball mill were selected as model variables. The results indicated that the optimum values of responses from model predictions were very close to experimental responses. This study demonstrates that RSM and Box-Bhenken design can be successfully used for the determination of grinding parameters to optimise the size distribution of product.