Advances in depressants for flotation separation of Cu-Fe sulfide minerals at low alkalinity: A critical review

Feng, Qicheng; Yang, Wenhang; Chang, Maohan; Wen, Shuming; Liu, Dianwen; Han, Guang

doi:10.1007/s12613-023-2709-3

Cited by 17 publications

(11 citation statements)

References 106 publications

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“…On the other hand, the following regression equation can be defined, relating the design parameters (density, inclination, and pressure) to the concentration of Sr/Celestine in the mineral recovered in the under stream [Equations ( 9) and (10)].…”

Section: Separation Performance Of Dmsmentioning

confidence: 99%

“…The methods used for the concentration of strontium ores are several and diverse, but all of them aim to separate the ore or mineral of economic interest from the gangue. For this purpose, different equipment and methodologies are applied based on differences between the ore and gangue minerals in particle size (classification); differences in density (gravimetric concentration) [7]; or differences in surface properties of the different mineral species (flotation) [8][9][10] (-).…”

Section: Introductionmentioning

confidence: 99%

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Preconcentration of a Medium-Grade Celestine Ore by Dense Medium Cyclone Using a Factorial Design

Ariza-Rodríguez,

Rodríguez-Navarro,

Ortega

et al. 2024

Minerals

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A semi-industrial scale hydrocyclone with a 250 mm internal diameter was used to concentrate medium-grade celestine ore (75%–85% celestine) from the Montevive deposit of Granada (Spain) using a dense ferrosilicon (FeSi) medium. For this purpose, a Box–Behnken factorial design (BBD) was carried out, with the response variable being the Sr concentration measured by X-ray fluorescence (XRF), as well as the concentration of celestine measured by X-ray diffraction (XRD) of the mineral collected from the under (sunk) stream of the hydrocyclone. The experimental factors to be optimised were the density of the medium in the mixing tank (water, FeSi, and feed mineral) varying from 2.7 to 2.9 kg/L, the hydrocyclone inlet pressure from 0.8 to 1.2 bar, and the hydrocyclone inclination (from 15° to 25° from the horizontal). The range of densities of the dense medium to be tested was determined from previous sink–float experiments using medium-grade ore, in which the distribution of mineral phases with different particle size fractions was determined. To evaluate the separation behaviour, the following parameters were considered: the enrichment ratio (E), the tailings discarding ratio (R), and the mineral processing recovery (ε). From the factorial design and the response surface, the optimum parameters maximising celestine concentration in the under stream (78%), were determined. These optimised parameters were: a density of 2.75 kg/L for the dense medium, an inlet pressure of 1.05 bar, and a hydrocyclone inclination varying from 18° to 20°. Under these conditions, a 94% recovery of celestine (68% Sr) can be achieved. These results show that medium-grade celestine ore, accumulated in mine tailings dumps, can be effectively concentrated using DMS hydrocyclones and that the operating parameters can be optimised using a factorial experiment design. This study can contribute to reducing overexploitation of strategic mineral resources, avoiding blasting and environmentally damaging clearing, by applying a simple and sustainable technique.

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Section: Separation Performance Of Dmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Preconcentration of a Medium-Grade Celestine Ore by Dense Medium Cyclone Using a Factorial Design

Ariza-Rodríguez,

Rodríguez-Navarro,

Ortega

et al. 2024

Minerals

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“…Various technologies have been implemented to prevent Hg pollution in wastewater, such as adsorption, membrane separation, flotation, electro-chemical treatment, and ion exchange [ 8 , 9 , 10 , 11 ]. Among these, adsorption technology stands out as the most widely adopted method for effectively removing Hg from water [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Mechanistic Evidence for Hg Removal from Wastewater by Biologically Produced Sulfur

Jeong,

Park,

Yoon

et al. 2024

Toxics

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A significant quantity of biologically produced sulfur (BPS) is generated as a by-product of chemical and biological desulfurization processes applied to landfill gas treatment. The beneficial upcycling of BPS has seen limited use in the environmental context. The effectiveness and underlying mechanism of BPS as an adsorbent for removing Hg2+ from both solution and wastewater were elucidated based on experiments encompassing surface characterization, adsorption isotherms, kinetics, and thermodynamics. The BPS exhibited remarkable efficacy in removing Hg2+ from solution, with the Langmuir model accurately describing the adsorption process and showing a maximum adsorption capacity of 244 mg g−1. Surface analysis through X-ray photoelectron spectroscopy and scanning electron microscopy revealed that Hg2+ complexed with sulfide on BPS surfaces, forming stable HgS. The adsorbed Hg was strongly retained in BPS, with less than 0.2% of the adsorbed Hg desorbed by strong acids. Adsorption kinetics followed the double-exponential first-order model, showing an initial rapid adsorption phase wherein 75% of the initial Hg2+ was removed within 5 min, followed by a slower adsorption rate. The thermodynamic parameters suggested that adsorption of Hg2+ by BPS was a spontaneous and endothermic process. Additionally, BPS effectively removed Hg2+ from wastewater, showing preference for Hg over other co-existing metals. These findings underscore the potential of BPS as an effective adsorbent for Hg2+ removal from wastewater.

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“…The problem of crop yield reduction caused by the difference between the timing of water distribution in the lower channels during the rotation period and the timing of water distribution for the actual demand has been solved. However, with the deepening of the optimization problem and the complexity of the calculations required, research on the optimal allocation of water in canal systems has also begun to change from "single-objective" to "multi-objective", from "two-level channel" to "multilevel channel", from the ideal water distribution state of "equal flow in the lower channel" to "unequal flow in the lower channel", from only considering "static water transmission loss" to considering "dynamic water transmission loss" [9], from "no consideration of water quality conditions" to "treatment of water quality for irrigation" [10,11], and from only considering "single water source" to "multisource" joint scheduling [12,13].…”

Section: Introductionmentioning

confidence: 99%

“…In population-based intelligent optimization methods, the usual convergence to the global expectation can be divided into two basic phases, the global search phase and the local search phase, so the balance between these two phases is particularly important for preventing the results from falling into the local optimum. In the GWO algorithm, the size of | A | determines whether the algorithm performs a global or local search, and from Equation (10), the parameter | A | is determined by the size of a. Therefore, in this study, we performed balancing by fine-tuning parameter a [25].…”

mentioning

confidence: 99%

Optimal Allocation of Water Resources in Canal Systems Based on the Improved Grey Wolf Algorithm

Zheng,

Yue,

Zhang

et al. 2024

Sustainability

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Xinjiang is located in the arid region of northwestern China, and agriculture accounts for an absolute share of total water use. Resource-based, engineering, structural, and managed water shortages coexist. Therefore, it is of great significance to vigorously develop water conservation technology and improve the efficiency of water transmission and distribution in canal systems. This research aims at addressing the problems of difficult manual regulation and the overall optimization of the final canal system, low-water-resource utilization efficiency, and management efficiency. Taking the branch-double two-stage canal system of Dongfeng branch canal in Mangxiang, Jinghe irrigation district, as a case study, and the rotation irrigation group and irrigation duration as decision variables, canal distribution is modeled with the goal of minimizing seepage losses. The improved grey wolf algorithm combined with particle swarm optimization is used for the first time and compared with the traditional grey wolf algorithm, genetic particle swarm optimization fusion algorithm, and northern goshawk algorithm. The results show that (1) on the basis of meeting the water discharge capacity and water demand requirements of the canal system, the diversion time of the water distribution scheme obtained by using the improved grey wolf algorithm is shortened from 11 d to 8.91 d compared with the traditional empirical water distribution scheme. (2) The improved grey wolf algorithm converges to the optimal value within 10 generations compared to the remaining methods, and the total water leakage is reduced from 16.15 × 104 m3 to 11.75 × 104 m3. (3) The number of gate adjustments is reduced, and the canal gates are opened and closed at the same time within each rotational irrigation group. The grey wolf algorithm improved by its combination with particle swarm has stronger optimization ability and convergence, which can better meet the requirements of efficient water resource allocation in irrigation canal systems, as well as a high application value.

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Advances in depressants for flotation separation of Cu-Fe sulfide minerals at low alkalinity: A critical review

Cited by 17 publications

References 106 publications

Preconcentration of a Medium-Grade Celestine Ore by Dense Medium Cyclone Using a Factorial Design

Preconcentration of a Medium-Grade Celestine Ore by Dense Medium Cyclone Using a Factorial Design

Mechanistic Evidence for Hg Removal from Wastewater by Biologically Produced Sulfur

Optimal Allocation of Water Resources in Canal Systems Based on the Improved Grey Wolf Algorithm

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