A review of recent strategies for acid mine drainage prevention and mine tailings recycling.

カナダ鉱山冶金学会 (Canadian Institute of Mining and Metallurgy) の憲章と定款

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Mine Wastes Characterization Treatment And Environmental Impacts

Machine learning applications in minerals processing: A review

Review of the flotation of molybdenite. Part I: Surface properties and floatability

Recently, beneficiation of iron from low-grade ores with high impurities has been a matter of discussion. Flotation is one of the most effective technologies for the upgrading of low-grade, finely grained iron ores. This method can also be applied to reduce the impurities content in magnetite concentrates obtained using wet low- and high-intensity magnetic separations. In this paper, several studies describing the processing of iron ores via direct and reverse cationic and anionic flotation are reviewed. The objective of this review was to present and identify the effects of different flotation conditions on removal of specific impurities in iron ore such as quartz, alumina, phosphorous, and sulfur. Novel and common used collectors, depressants, auxiliary reagents, and their mixtures in the flotation are tabulated. This paper attempts to provide an explanation for the current state and use of iron ore flotation methods, as well as to present some ideas on future initiatives and potential developme...

Reagents types in flotation of iron oxide minerals: A review

Recovery and grade accurate prediction of pilot plant flotation column concentrate: Neural network and statistical techniques

Iron ore tailings have become one kind of the most hazardous solid waste. Beneficiation of iron ore tailings is a significant issue in the world steel industries, from the point of view of both pollution control and secondary resources. This investigation addressed the processing of tailings with high sulphur content from an iron ore concentrator to produce pellet feed fines and to prevent acid mine drainage. This study was the lab-scale testing of an integrated method consisting of froth flotation combined with gravity and magnetic separation. Reverse flotation located at the end of the primary treatment circuit (high- and low-intensity magnetic separation) will lower a large amount of the sulphur from magnetic separator concentrate. The effects of various operating parameters such as concentrations of collector, frother, depressant and activator, pH, solid-in-pulp concentration have been studied on the sulphur removal using reverse flotation. According to the data presented in this study, the ma...

Sulphur removal of iron ore tailings by flotation

Obtaining high recovery in copper flotation plants has been always under investigation in recent years Misreported copper into tailing dramatically declines copper recovery This study aim

Copper recovery improvement in an industrial flotation circuit: A case study of Sarcheshmeh copper mine

Artificial neural networks are relatively new computational tools which their inherent ability to learn and recognize highly non-linear and complex relationships makes them ideally suited in solving a wide range of complex real-world problems. In this research, different techniques (Linear regression, Non-linear regression, Back propagation neural network, Radial Basis Function for the estimation of Cu grade and recovery values in flotation column concentrate are studied. Modeling is performed based on 90 datasets at different operating conditions at Sarcheshmeh pilot plant, a copper concentrator in Iran, which include chemical reagents dosage, froth height, air and wash water flow rates, gas holdup and Cu grade in the rougher feed and flotation column feed, column tail and final concentrate streams. The results of models were also expressed and analyzed by intuitive graphics. The results indicated that a four-layer BP network gave the most accurate metallurgical performance prediction and all of the neural network models outperformed non-linear regression in the estimation process for the same set of data.

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Fardis Nakhaei

Papers

Reagents types in flotation of iron oxide minerals: A review

Recovery and grade accurate prediction of pilot plant flotation column concentrate: Neural network and statistical techniques

Sulphur removal of iron ore tailings by flotation

Copper recovery improvement in an industrial flotation circuit: A case study of Sarcheshmeh copper mine

Comparison between neural networks and multiple regression methods in metallurgical performance modeling of flotation column