Roasted zinc concentrate leaching: Population balance modeling and validation

Coelho, Fabrício Eduardo Bortot; Balarini, Julio Cézar; Araújo, Estêvão Magno Rodrigues; Miranda, Tânia Lúcia Santos; Peres, Antônio Eduardo Clark; Martins, Afonso Henriques; Salum, Adriane

doi:10.1016/j.hydromet.2017.11.013

Cited by 13 publications

(4 citation statements)

References 37 publications

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“…The valuable metallic lead and zinc mainly exist in the mineral phases of lead sulfate, lead oxide, zinc oxide, zinc sulfate and zinc ferrite. At the same time, there are also corresponding chemical reactions for calcium, magnesium, aluminum compounds and sulfuric acid [21][22][23][24][25].…”

Section: Lead and Zinc Phase Transformation Mechanism In Sulphuric Acmentioning

confidence: 99%

Extraction of Lead and Zinc from a Rotary Kiln Oxidizing Roasting Cinder

Xiao

Zou

Ding

et al. 2020

Metals

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In this study, sulfuric acid leaching and gravity shaking-table separation by shaking a table are used to extract lead and zinc from a Pb-Zn oxidizing roasting cinder. The oxidizing roasting cinder—containing 16.9% Pb, 30.5% Zn, 10.3% Fe and 25.1% S—was obtained from a Pb-Zn sulfide ore in the Hanyuan area of China by a flotation-rotary kiln oxidizing roasting process. Anglesite and lead oxide were the main Pb-bearing minerals, while zinc sulfate, zinc oxide and zinc ferrite were the main Zn-bearing minerals. The results show that a part of lead contained in lead oxide is transformed to anglesite, and a 3PbO·PbSO4·H2O-dominated new lead mineral phase after acid leaching. A zinc leaching efficiency of 96.7% was obtained under the leaching conditions used: a leaching temperature of 55 °C; a leaching time of 90 min; a sulfuric acid dosage of 20%; a sulfurous acid dosage of 4%; a cinder particle size of <0.3 mm; and a solid-liquid ratio of R = 1:4. After the gravity shaking-table separation, a lead concentrate with 50.2% Pb, 2.33% Zn and lead recovery of 86.0% was produced. The main chemical compounds in leaching residue are anglesite, 3PbO·PbSO4·H2O, SiO2 and ZnFe2O4, while the main chemical compounds in lead concentrate are anglesite, 3PbO·PbSO4·H2O and SiO2.

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Section: Lead and Zinc Phase Transformation Mechanism In Sulphuric Acmentioning

confidence: 99%

Extraction of Lead and Zinc from a Rotary Kiln Oxidizing Roasting Cinder

Xiao

Zou

Ding

et al. 2020

Metals

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“…The description of relevant parameters of the leaching process self-attention (Vaswani et al, 2017), and cascaded LSTM with sparse self-attention self-attention Child et al (2019) in the test dataset for comparison.…”

Section: Results and Analysismentioning

confidence: 99%

“…Online estimation of KPI is divided into two main categories: kinetic models and data‐driven models. On the one hand, kinetic models are mainly based on balance material, energy conservation, and basic natural mathematical laws to deduce the equations describing the system Coelho et al (2018); Lampinen et al (2015). However, their accuracy may be unsatisfactory because some uncertainties in actual industrial conditions cannot be fully considered in a theoretical model.…”

Section: Introductionmentioning

confidence: 99%

A spatiotemporal‐distributed deep‐learning framework for KPI estimation of chemical processes with cascaded reactors

Feng

et al. 2022

Expert Systems

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Online and accurate estimation of key performance indicators (KPI) is the foundation for operational optimization of a chemical process. However, a chemical process usually consists of multiple reactors, and the factors influencing KPI are spatially distributed in the long process flow. In addition, due to the distinct time lags between KPI and each reactor, temporal relationships among KPI and its influence factors are a mixture of short‐term and long‐term relationships. In this regard, a deep distributed KPI estimator with a self‐attention mechanism is proposed in this paper. First, considering the process topology, a cascaded long short‐term memory network is developed to simulate the process topology and capture the short‐term effects. Then, to extract the long‐term dependencies, a de‐noise self‐attention layer is employed to model interactions of all the influence factors explicitly and dynamically. Lastly, the proposed method is compared with typical state‐of‐the‐art methods using real industrial data. The comparison results illustrate the performance and effectiveness of the proposed KPI estimation method.

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“…The extending leaching time also has no influence on zinc leaching improvement. Despite the copper composition, the zinc present in the sample in the form of oxide component which is highly soluble in acid [42] with high leaching kinetics. In fact, almost all ZnO dissolved in the first minute of the process.…”

Section: Resultsmentioning

confidence: 99%

Microwave-Leaching of Copper Smelting Dust for Cu and Zn Extraction

et al. 2019

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Industrial wastes may contain high concentrations of valuable metals. Extraction and recovery of these metals have several economic and environmental advantages. Various studies showed positive effects of microwaves as a pretreatment method before the leaching of minerals. However, there are empty rooms for exploring simultaneous microwave and leaching (microwave-leaching) of industrial waste material for the production of valuable metals. This investigation examined the microwave-leaching method to extract copper and zinc from a copper-smelter dust (CSD). The results of microwave-leaching mechanism were compared with conventional heating leaching based on kinetics modelling. The final Cu recovery in the conventional heating and microwave irradiation was 80.88% and 69.83%, respectively. Kinetic studies indicated that the leaching reactions follow diffusion across the product layer. Based on X-ray powder diffraction (XRD) analyses, during conventional experiments sulfate; components formed with high intensity as an ash layer which prevents reagent access to the solid surface and decreases the Cu dissolution. While the sulfate components did not detect in the microwave-leaching residuals which means that microwave irradiation helped to decrease the ash layer formation. Taking all mentioned results into consider it can be concluded that microwave-leaching can be considered as an efficient method for extraction of valuable metals from waste materials.

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Roasted zinc concentrate leaching: Population balance modeling and validation

Cited by 13 publications

References 37 publications

Extraction of Lead and Zinc from a Rotary Kiln Oxidizing Roasting Cinder

Extraction of Lead and Zinc from a Rotary Kiln Oxidizing Roasting Cinder

A spatiotemporal‐distributed deep‐learning framework for KPI estimation of chemical processes with cascaded reactors

Microwave-Leaching of Copper Smelting Dust for Cu and Zn Extraction

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