Identification of optimal mill operating parameters during grinding of quartz with the use of population balance modelingIdentification of optimal mill operating parameters during grinding of quartz with the use of population balance modeling Peer-Reviewed Journal Publication Δημοσίευση σε Περιοδικό με Κριτές 2018-06-012017enIt is known that ball milling is an energy intensive process and great efforts have been made over the years to improve energy efficiency. The use of population balance models (PBMs) can assist in the design of mineral processing circuits and the scale-up of laboratory mill results to full-scale. However, since each model has its own capabilities and limitations, it is believed that a combined use will provide more accurate information for the reliable description of the process. In this study, the simulation of grinding of quartz is investigated in order to identify the optimal mill operating parameters. With the use of population balance modeling the specific rate of breakage and the cumulative breakage parameters can be determined from mono-size, short grinding time batch tests. The determined breakage parameters were back calculated by minimizing the residual error between experimental and reproduced size distributions. By combining two software packages the back calculated breakage parameters were used for the prediction of the optimum ball filling volume. The proposed procedure can be also applied for the identification of optimal mill operating parameters for other minerals.http://creativecommons.org/licenses/by/4.0/KONA Powder and Particle Journal34213-223Petrakis_et_al_KONA Powder Part. J._34_2017.pdfChania [Greece]Library of TUC2018-06-01application/pdf3.1 MBfree Petrakis Evaggelos Πετρακης Ευαγγελος Staboliadis Ilias Σταμπολιαδης Ηλιας Komnitsas Konstantinos Κομνιτσας Κωνσταντινος Hosokawa Powder Technology Foundation Ball filling Breakage rate Comminution Kinetic models Simulation