Abstract
A grinding simulation has been developed based on the population balance model. In the chemical industry, it is usual that a range of products is milled in the same grinding facility. Performing experiments with narrow fractions or tracers to obtain grinding coefficients for each product would be very cost-intensive. Here, a method is used to determine grinding coefficients using algorithms based on only a few laboratory experiments. The data are approximated with equations for the selection function and the breakage function, which allows the milling conditions to be calculated for a desired particle size distribution. Grinding experiments with a stirred ball mill show that the method provides a good approximation in practice.
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