An integrated system for supervision and economic optimal control of mineral processing plants

Muñoz, C.; Cipriano, Aldo

doi:10.1016/s0892-6875(99)00048-5

Cited by 30 publications

(7 citation statements)

References 2 publications

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“…Coarse particles are fed back to the working chamber with the external recycle air stream through the bottom of the mill to provide regrinding. The vertical arrangement of the working chamber and counter-flow material transport causes instability of the whole system [14]. Without the proper air flow through the working chamber all the processed material would fall to the bottom of the mill or would suck out of the mill without grinding.…”

Section: Design Of Classification System In Electromagnetic Millmentioning

confidence: 99%

Approximation of Partition Curves for Electromagnetic Mill with Inertial Classifier – Case study

Wołosiewicz-Głąb

Pięta

Niedoba

et al. 2017

IOP Conf. Ser.: Earth Environ. Sci.

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Abstract. The article presents the impact of the separation parameters on the operation of the grinding and classification system using the electromagnetic mill and impingement-inertial classifier specially designed for this machine. Preliminary tests for the classifier have been carried out, and the effect of the separation efficiency on the value of the recycle flow that optimizes the operation of the grinding system is determined. Fourteen experiments were carried out to test and evaluate the classifier's work, with a variety of damping flaps acting on the airflow. The results provide an accurate assessment of the effectiveness and efficiency of the classifier. The approximation of the electromagnetic mill partition curves using the impingement-inertial classifier was performed by using Weibull distribution function.

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Section: Design Of Classification System In Electromagnetic Millmentioning

confidence: 99%

Approximation of Partition Curves for Electromagnetic Mill with Inertial Classifier – Case study

Wołosiewicz-Głąb

Pięta

Niedoba

et al. 2017

IOP Conf. Ser.: Earth Environ. Sci.

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“…The separation process results in a concentrate of valuable metals, and a tailings stream of waste. As shown by McIvor and Finch (1991) and Munoz and Cipriano (1999), a sufficiently fine milling circuit product results in improved recovery of valuable metals in the separator concentrate. However, the finer product of the comminution circuit comes at the cost of reduced throughput.…”

Section: Introductionmentioning

confidence: 96%

Throughput and product quality control for a grinding mill circuit using non-linear MPC

Roux

Olivier

Naidoo

et al. 2016

Journal of Process Control

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A non-linear model-based control architecture for a single-stage grinding mill circuit closed with a hydrocyclone is proposed. The control architecture aims to achieve independent control of circuit throughput and product quality, and consists of a non-linear model predictive controller for grinding mill circuit control, and a dynamic inversion controller to control the fast sump dynamics. A particle filter is used to estimate the mill states, and an algebraic routine is used to estimate the sump states. The observers make use of real-time continuous measurements commonly available on industrial plants. Simulation results show that control objectives can be achieved by the controller despite the presence of measurement noise and disturbances.

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“…An empirical relationship is used to relate the comminution circuit product ore size distribution to the separation mineral recovery. To address the effect of the dynamics of the comminution circuit on the separation circuit, Munoz and Cipriano 9 propose a predictive controller that optimizes an economic objective function based on metallurgical performance indices. The economic objective function describes the income generated by the plant as a function of the comminution feed ore grade, the separator tailings grade, and the metal refinery recovery per tonne of ore processed.…”

Section: ■ Introductionmentioning

confidence: 99%

Plant-Wide Control Framework for a Grinding Mill Circuit

Roux

Craig

2019

Ind. Eng. Chem. Res.

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This article proposes a generic plant-wide control framework that can be used to develop a hierarchical control structure (regulatory control, supervisory control, and optimization) to operate a single-stage closed grinding mill circuit in an economically optimal manner. An economic objective function is defined for the grinding mill circuit with reference to the economic objective of the larger mineral processing plant. A mineral processing plant in this study consists of a comminution and a separation circuit and excludes the extractive metallurgy at a metal refinery. The operational performance of a comminution circuit as represented by a single-stage grinding mill circuit, primarily depends on the performance of the grinding mill. Since grind curves define the operational performance range of a mill, grind curves are used to define the set points for the economic controlled variables for optimal steady-state operation. For a given metal price, processing cost, and transportation cost, the proposed structure can be used to define the optimal operating region of a grinding mill circuit for the best economic return of the mineral processing plant. Once the optimal operating condition is defined, the supervisory control aims to maintain the primary controlled variables at the optimal set points. A regulatory control layer ensures the stability of the plant in the presence of disturbances.

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An integrated system for supervision and economic optimal control of mineral processing plants

Cited by 30 publications

References 2 publications

Approximation of Partition Curves for Electromagnetic Mill with Inertial Classifier – Case study

Approximation of Partition Curves for Electromagnetic Mill with Inertial Classifier – Case study

Throughput and product quality control for a grinding mill circuit using non-linear MPC

Plant-Wide Control Framework for a Grinding Mill Circuit

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