Analysis and optimization of mineral processing and coal-cleaning circuits — Circuit analysis

Meloy, T.P.

doi:10.1016/0301-7516(83)90033-9

Cited by 55 publications

(13 citation statements)

References 2 publications

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“…Obtaining the recovery function for mineral separation circuits can lead to the simplification of complex flowsheets. When considering the recovery as a transfer function for each stage/bank (R a and R b ), it is possible to calculate the transfer function of the circuit while using the manual method [26]. In Figure 2, a closed rougher-scavenger circuit, analytical solution can be obtained while using algebraic expressions.…”

Section: Circuit Function Calculationmentioning

confidence: 99%

“…In Figure 2, a closed rougher-scavenger circuit, analytical solution can be obtained while using algebraic expressions. stage/bank (Ra and Rb), it is possible to calculate the transfer function of the circuit while using the manual method [26]. In Figure 2, a closed rougher-scavenger circuit, analytical solution can be obtained while using algebraic expressions.…”

Section: Circuit Function Calculationmentioning

confidence: 99%

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Optimizing Flotation Circuit Recovery by Effective Stage Arrangements: A Case Study

et al. 2018

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Recovery is one of the most important metallurgical parameters in designing and evaluating flotation circuits. The present study used the recovery arrangement for two and three stage circuits to evaluate the effect of stage recovery on the overall circuit recovery and flotation circuit configuration. The results showed that mainly the highest recovery value should be assigned to the rougher stage in order to achieve the maximum overall circuit recovery. Countercurrent rougher-cleaner and rougher-scavenger circuits, in which recycling streams step back one stage at a time, follow a general rule for the assignment of recovery. Finally, a flotation plant containing six flotation banks was examined as a case study. A program for calculating total circuit recovery, for all possible combinations of recovery was developed in MATLAB software. 720 recovery combinations were evaluated. The results showed that optimal recovery allocation in stages could be effective in achieving overall circuit recovery. It was shown that the use of a large number of stages in some of the flotation circuits leads to the loss of equipment and additional costs. The proposed approach can be employed as an effective tool for designing and optimizing various flotation circuits and their operational parameters.

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Section: Circuit Function Calculationmentioning

confidence: 99%

Section: Circuit Function Calculationmentioning

confidence: 99%

Optimizing Flotation Circuit Recovery by Effective Stage Arrangements: A Case Study

et al. 2018

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“…The linearity hypothesis proposed by Meloy (1983) was considered for developing the iterative algorithm proposed. The linearity hypothesis method assumes that in a separation process, there is no particle-particle interactions that may affect the probability of a particle being selected for an output stream.…”

Section: Algorithm's General Formulationmentioning

confidence: 99%

Circulating load calculation in grinding circuits

Silva

Rezende

2014

Rem: Rev. Esc. Minas

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A problem for solving mass balances in mineral processing plants is the calculation of circulating load in closed circuits. A family of possible methods for the resolution of these calculations is the iterative method, consisting of a finite loop where in each iteration the initial solution is refined in order to approach the exact solution. The present work presents a low-complexity iterative algorithm for circulating load calculation in mineral processing closed circuits, thus enabling the construction of reliable mass, metallurgical and water balances. The proposed equations on the algorithm were obtained through the analysis of many industrial systems, taking into account the process operational parameters. A validation was performed with real industrial data, in order to ensure a greater reliability of the obtained results. Two different types of closed circuits are presented, each one with different levels of complexity, to clarify the proposed algorithm. With the results, it is possible to affirm that the proposed iterative algorithm can be successfully applied to any kind of closed circuit in mineral processing. The results were satisfactory with respect to processing speed, convergence of the solution and the number of iterations required for the circulating load calculation. ResumoUm problema para a resolução de balanços de massa, em usinas de processamento mineral, é o cálculo da carga circulante presente em circuitos fechados. Uma família de métodos possíveis de aplicação, para a resolução desse cálculo, diz respeito aos métodos iterativos, que consistem em um loop finito, no qual a cada iteração a solução inicial do sistema é refinada de modo a se aproximar da solução real. O presente trabalho apresenta um algoritmo iterativo de baixa complexidade, para o cálculo de carga circulante em circuitos fechados, possibilitando, assim, a construção de balanços de massa, metalúrgico e de água que seja confiável. As equações propostas, no algoritmo, foram obtidas através da análise de diversos sistemas industriais, levando-se em conta os parâmetros operacionais do processo. A validação do método foi realizada com dados industriais reais, visando a assegurar uma maior confiabilidade dos resultados obtidos. Dois diferentes tipos de circuitos fechados, com diferentes níveis de complexidade, são apresentados de modo a elucidar o algoritmo proposto, permitindo-se afirmar que tal algoritmo pode ser aplicado a qualquer circuito fechado, no processamento de minerais. Os resultados obtidos foram satisfatórios, no que tange à velocidade de processamento, à convergência da solução e ao número de iterações necessárias para o cálculo da carga circulante.Palavras-chave: balanço de massas; carga circulante; circuitos fechados.

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“…This technique becomes particularly useful in circuit optimization. A mathematical strategy for analyzing multi-stage separation circuits was presented by Meloy [9], which can be used to analyze even more complex circuits.…”

Section: Heavy Metal Recovery and Soil Rejectionmentioning

confidence: 99%

Multi‐stage wide‐angle hydrocyclone circuits for removing fine, high density particles from a low density soil matrix

Klima¹,

Kim

1997

Journal of Environmental Science and Health . Part A: Environme

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Simulations were performed for various hydrocyclone staging arrangements using experimental results from single-stage wide-angle hydrocyclone separations when processing fine (-150 μm) particles in a 25 mm diameter hydrocyclone. Mixtures of fine quartz and magnetite or ferrosilicon of similar size ranges were used to represent low density (e.g., soil) and high density (e.g., heavy metal contaminant) particles, respectively. The staging arrangements included re-treating the overflow and/or underflow streams in both once-through and recirculating circuits. The results indicated that heavy metal recoveries greater than 95% with soil rejections over 90% could be obtained for the ferrosilicon/quartz system using a three-stage circuit.Lower metal recoveries were obtained when processing the lower density magnetite. 715

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Analysis and optimization of mineral processing and coal-cleaning circuits — Circuit analysis

Cited by 55 publications

References 2 publications

Optimizing Flotation Circuit Recovery by Effective Stage Arrangements: A Case Study

Optimizing Flotation Circuit Recovery by Effective Stage Arrangements: A Case Study

Circulating load calculation in grinding circuits

Multi‐stage wide‐angle hydrocyclone circuits for removing fine, high density particles from a low density soil matrix

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