Parameter and configuration optimization of flotation circuits, part II. A new approach

Yingling, Jon C.

doi:10.1016/0301-7516(93)90064-h

Cited by 19 publications

(3 citation statements)

References 5 publications

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“…Many of the complex circuits used in the mineral processing industry are the results of attempts to find more efficient methods for treating minerals in order to maintain mineral value recovery at a maximum while the contamination of the concentrate with gangue is minimized. The design of the processing circuits is carried out based on the experience of the designer with the aid of laboratory tests and simulations (Yingling, 1993;Williams et al, 2002). The use of inert grinding media has been found to cause great improvement in the kinetics and recovery of values in the subsequent froth flotation (Pease et al, 2013).…”

Section: Issn: 2088-9860mentioning

confidence: 99%

Effects of Sodium Iso-butyl Xanthate Dosage on The Froth Flotation of Bead Milled Middle Group 1-3 PGM Ore Blend

Madilen¹,

Adeleke²,

Mendonidis³

2015

Aceh Int. J. Sci. Technol

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An investigation was carried out to determine the effects of collector concentration on the grade and recovery in the flotation of middle group 1-3 Platinum Group Metal (PGM) ore mixture. The ore mixture pulp at a relative density of 1.29 was subjected to “bead milling” test, particle size distribution analysis and the 55% passing 75 µm was froth floated at 180, 200 and 220 g/t dosages of sodium isobutyl xanthate (SIBX) and 30 and 80 g/t of Senfroth and Sendep 30D frother and depressant, respectively. The results obtained indicated the predominance of the <38 µm PGM values in the ore and confirmed the need for tertiary milling for better liberation of the PGMs. The grade of the PGM concentrate obtained when dosing at 200 g/t of sodium isobutyl xanthate was highest at 94 g/t and gave the lowest recovery of 53%. The 180 g/t SIBX dosage resulted in highest PGM recovery of 70% and lowest grade of 84 g/t, while dosing at 220 g/t SIBX gave average PGM grades of 90 g/t and recoveries of 60%. The results obtained thus showed that that an SIBX dosage of 180 g/t SIBX would be appropriate when higher recoveries are targeted, while 200 g/t dosage will yield higher grades

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Section: Issn: 2088-9860mentioning

confidence: 99%

Effects of Sodium Iso-butyl Xanthate Dosage on The Froth Flotation of Bead Milled Middle Group 1-3 PGM Ore Blend

Madilen¹,

Adeleke²,

Mendonidis³

2015

Aceh Int. J. Sci. Technol

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“…As such, multi-stage separation circuit configurations are often employed to overcome this inherent deficiency and achieve higher separation efficiency. The performance of these complex separation circuits is influenced by several factors, including feed composition, circuit design layout, dimension and number of flotation cells, and physical-and chemical-related operational parameters [3][4][5][6]. In addition to the circuit metallurgical performance, the profitability of the final system is a fundamental goal of the optimal flotation circuit design procedure.…”

Section: Introductionmentioning

confidence: 99%

Design of Cell-Based Flotation Circuits under Uncertainty: A Techno-Economic Stochastic Optimization

Amini

Noble

2021

Minerals

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The design of cell-based flotation circuits is often completed in two distinct phases, namely circuit structure identification and equipment sizing selection. While recent literature studies have begun to address the implications of stochastic analysis, industrial practice in flotation circuit design still strongly favors the use of deterministic metallurgical modeling approaches. Due to the complexity of the available mathematical models, most flotation circuit design techniques are constructed based on deterministic models. Neglecting the impact of various sources of uncertainty may result in the identification of circuit solutions that are only optimal in a narrow region of specific operating scenarios. One promising strategy to address this shortcoming is through the Sample Average Approximation (SAA) methodology, a stochastic approach to handling uncertainty that has been widely applied in other disciplines such as supply chain and facility location management problems. In this study, a techno-economic optimization algorithm was formulated to select the optimal size and number of flotation cells for a fixed circuit structure while considering potential uncertainty in several input parameter including feed grade, kinetic coefficients, and metal price. Initially, a sensitivity analysis was conducted to screen the uncertain parameters. After simplifying the optimization problem, the SAA approach was implemented to determine the equipment configuration (i.e., cell size and number) that maximizes the plant’s net present value while considering the range of potential input values due to parameter uncertainty. The SAA methodology was found to be useful in analyzing uncertainty in flotation kinetics; however, the approach did not provide a useful means to assess the influence of uncertainties in ore grade and metal price, as these values are not significant in determining equipment size but rather influence the optimal circuit structure, which was not considered in this study. Results from an application example indicate that the SAA approach produces optimal solutions not initially identified in a deterministic optimization, and these SAA solutions tend to provide greater robustness to uncertainty and variation in the flotation kinetics.

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“…These studies have been reviewed by Yingling 12 and Mehrotra. 13 Yingling 14 proposed an optimization technique, using the potential theory of Markov chains to obtain optimal solutions considering the cost (reward function) as an objective function. He assumed that the recovery of the desired grade of concentrate is invariant with changes in the total mass flow rate to the vessel.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective Optimal Synthesis and Design of Froth Flotation Circuits for Mineral Processing, Using the Jumping Gene Adaptation of Genetic Algorithm

Guria

Verma

Mehrotra

et al. 2004

Ind. Eng. Chem. Res.

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An adaptation, inspired by the concept of jumping genes in biology, is developed for the binary-coded elitist nondominated sorting genetic algorithm (NSGA-II). This helps in obtaining global-optimal solutions faster, particularly for problems involving networks. This is because the optimal values of some decision variables in such problems may be 0 or 1, e.g., some streams may be nonexistent in the optimal configuration. It is difficult to generate such chromosomes in the binary-coded NSGA-II (or the unmodified version of the real coded NSGA-II) using the three conventional operations of reproduction, crossover, and mutation. The algorithm developed is used to solve a few sample simple problems involving froth flotation circuits, which represent an important problem in mineral beneficiation. A two-species, two-cell flotation circuit is studied. Both single-objective as well as multi-objective optimizations are performed. The two important objectives used are as follows: (i) the maximization of the recovery of the concentrated ore and (ii) the maximization of the valuable-mineral content (grade) in the concentrated ore. A constraint of a fixed total flotation cell volume is also used. Because these objectives are conflicting, Pareto sets of nondominated solutions are obtained. The algorithm also can be used for the optimization of other networks.

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Parameter and configuration optimization of flotation circuits, part II. A new approach

Cited by 19 publications

References 5 publications

Effects of Sodium Iso-butyl Xanthate Dosage on The Froth Flotation of Bead Milled Middle Group 1-3 PGM Ore Blend

Effects of Sodium Iso-butyl Xanthate Dosage on The Froth Flotation of Bead Milled Middle Group 1-3 PGM Ore Blend

Design of Cell-Based Flotation Circuits under Uncertainty: A Techno-Economic Stochastic Optimization

Multi-objective Optimal Synthesis and Design of Froth Flotation Circuits for Mineral Processing, Using the Jumping Gene Adaptation of Genetic Algorithm

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