This paper reports the calibration and validation of a cone crusher model using industrial data. Usually, there are three calibration parameters in the condensed breakage function; by contrast, in this work, every entry of the lower triangular breakage function matrix is considered a calibration parameter. The calibration problem is cast as an optimization problem based on the least squares method. The results show that the calibrated model is able to fit the validation datasets closely, as seen from the low values of the objective function. Another significant advantage of the proposed approach is that the model can be calibrated on data that are usually available from industrial operation; no additional laboratory tests are required. Calibration and validation tests on datasets collected from two different mines show that the calibrated model is a strong candidate for use in various dynamic simulation applications, such as control system design, equipment sizing, operator training, and optimization of crushing circuits.
Um circuito de britagem reduz a granulometria do minério extraído da mina ao tamanho útil para as próximas etapas de processamento mineral. Dentro do circuito de britagem existe o estágio de peneiramento que classifica o fluxo de minério. A taxa de material classificada no peneiramento é diretamente relacionada à capacidade das correias transportadoras que recebem o overflow e o underflow das peneiras. Nesse sentido, o sistema de controle que regula a taxa de alimentação das peneiras é fundamental para a produtividade e segurança operacional. Nesse artigo são apresentados os resultados da substituição de um sistema de controle baseado em regras por um controle override em um circuito de britagem de uma usina da Vale S.A. em Canaã dos Carajás, Pará. O objetivo é o de reduzir a variabilidade da taxa de material produzido no sistema e, consequentemente, levar ao aumento de produtividade. Os resultados indicam um potencial de aumento de 17,2% de taxa de produção.
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