Removal of SO2 from smelting flue gas by using copper tailings with MnSO4: factors optimization by response surface methodology

Tao, Lei; Wang, Langlang; Zhou, Yangjie; Hu, Ningmeng; Cai, Jun; Chen, Xiaoyu; Wang, Xueqian; Ning, Ping

doi:10.1007/s11356-021-13990-8

Cited by 9 publications

(6 citation statements)

References 44 publications

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“…The initial reaction rate is constrained when n = 1 and approached zero when n > 1. 38 As shown in Figure 9a, the data were fitted linearly by substituting the leaching rate into Equation (7). The final fitted curve's correlation coefficient R 2 was higher than that of the first two models, indicating a superior fit.…”

Section: Kinetic Analysismentioning

confidence: 99%

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Mechanism and kinetics study on waste acid leaching from copper smelting dust

Cai,

Yu,

Lin

et al. 2024

Env Prog and Sustain Energy

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Copper smelters generate large amounts of copper smelting dust (CSD) that has a high recycling value because it contains about 20% copper. Waste acid can be used to leach CSD. Here, the effects of different temperatures, times and liquid–solid ratios on copper, iron and arsenic leaching rates were investigated. The optimal conditions were determined to be a temperature of 95°C, leaching time of 3 h, and liquid–solid ratio of 7:1. Under these condition, the leaching rate of copper reached 96.37%, and the copper ion concentration was 32.71 g/L. The leaching kinetics date revealed that the leaching of copper and iron was controlled by two different reaction models. The leaching of copper conformed to the Johnson–Mehl–Avrami (JMA) model and was diffusion controlled, and the reaction was rapid in the first 60 min. In contrast, leaching of iron was controlled by a chemical reaction. Copper and iron activation energies were 2.579 and 62.791 kJ/mol, respectively. These results show that CSD waste acid is can be used to dispose of arsenic‐containing hazardous waste in a green, sustainable, and ecologically method.

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Section: Kinetic Analysismentioning

confidence: 99%

“…Copper smelting produces dust that contains heavy metals such as copper, lead, and cadmium, which may harm the ecosystem and human health heavy metals accumulation 5–10 . Heavy metals have cumulative negative impacts on organisms, and their release pollutes the environment.…”

Section: Introductionmentioning

confidence: 99%

Mechanism and kinetics study on waste acid leaching from copper smelting dust

Cai,

Yu,

Lin

et al. 2024

Env Prog and Sustain Energy

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“…Using the RSM to elucidate the interaction between different factors under expanded trial conditions, the Box-Behnken design (BBD) is selected because it generally requires fewer design points, making it less costly to run compared to a Central Composite Design (CCD) with the same number of factors. [33,34] Therefore, this study employs the BBD for regression fitting of the data and establishes a Declined from 100 %-90 % after 18 h [29] denitrification prediction model based on the relationship between influencing factors and response values. Through the response surface optimization design of the expanded experiment, this research provides key technical support for the industrial application of the slag slurry method in copper smelting.…”

Section: Introductionmentioning

confidence: 99%

“…This method has been widely applied in various simulations, optimizations, parameter configurations, and experimental designs in science and engineering. It can be used to explore interactions under multiple parameters, hence attracting scholars’ attention [31–33] . RSM is mainly used for process optimization at the laboratory scale, but there is a lack of analysis on expansion experiment for further industrial application.…”

Section: Introductionmentioning

confidence: 99%

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Simultaneous Removal of NOx and SO₂ from Smelting Flue Gas Using Thermally Modified Copper Slag: Factor Optimization via Response Surface Methodology

Wang,

Li,

Wang

et al. 2024

ChemistrySelect

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In this study, Response Surface Methodology (RSM) was employed to optimize the experimental factors influencing the simultaneous removal of NOx and SO2 in a spray tower wet scrubbing experiment. Thermally modified copper slag (CS‐CaO‐900) was prepared by heat treating the original copper slag. The performance of CS‐CaO‐900 in the synchronized removal of NOx and SO2 was then evaluated in an expanded experimental setup. Based on single‐factor experimental results, the Box‐Behnken design of RSM was used to optimize the reaction parameters in a two‐stage sequential reactor (bubbling reactor + spray tower). NOx removal efficiency was modeled as a function of reaction temperature, pH, and H2O2 concentration. Regression curves provided a visual representation of the interaction effects among these parameters on NOx removal efficiency in the thermally modified copper slag/H2O2 composite slurry. This study elucidates the characteristics of each parameter under wet scrubbing conditions and provides essential data for industrial applications.

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Study on the degradation mechanism of 2-amino-4-acetaminoanisole from wastewater by nano-Fe3O4-catalyzed Fenton system

Liu

Zhang

Chen

et al. 2022

Environ Sci Pollut Res

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Wide use of 2-Amino-4-Acetaminoanisole (AMA) as a coupling component in the synthesis of many commercial dyes leads to the generation of AMA dyed wastewater. Discharge of untreated AMA dyed wastewater could bring environmental concerns. The present study featured H 2 O 2 heterogeneous Fenton system to degrade 2-Amino-4-Acetaminoanisole from wastewater using nano-Fe 3 O 4 catalyst prepared via the co-precipitation method. Based on a single factor and taking the AMA removal rate as the response value, the Box-Benhnken (BBD) response surface method was used to investigate the individual effects of Fe 3 O 4 dosage, H 2 O 2 dosage, initial pH, and reaction time. For the interaction study, the experimental data were processed with Design-Expert 10.0 software to obtain a quadratic response surface model. The results showed that the order of the in uence of the four independent variables on the response value is as follows: nano-Fe 3 O 4 dosage > H 2 O 2 dosage > reaction time > pH. The obtained mathematical model exhibited a high degree of t with the maximum AMA removal e ciency reaching to 100%. The optimal reaction conditions considered in this study are 1.70 g/L of Nano-Fe 3 O 4 dosage, 53.52 mmol/L of H 2 O 2 dosage, pH 5.14 and 388.97 mins as system reaction time. Furthermore, HPLC-MS was employed to analyze the degradation mechanism of AMA and the reaction intermediate products. Findings of this research provides fundamental theory and could guide subsequent practical AMA treatment during wastewater treatment.

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Removal of SO2 from smelting flue gas by using copper tailings with MnSO4: factors optimization by response surface methodology

Cited by 9 publications

References 44 publications

Mechanism and kinetics study on waste acid leaching from copper smelting dust

Mechanism and kinetics study on waste acid leaching from copper smelting dust

Simultaneous Removal of NOx and SO₂ from Smelting Flue Gas Using Thermally Modified Copper Slag: Factor Optimization via Response Surface Methodology

Study on the degradation mechanism of 2-amino-4-acetaminoanisole from wastewater by nano-Fe3O4-catalyzed Fenton system

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Removal of SO2 from smelting flue gas by using copper tailings with MnSO4: factors optimization by response surface methodology

Cited by 9 publications

References 44 publications

Mechanism and kinetics study on waste acid leaching from copper smelting dust

Mechanism and kinetics study on waste acid leaching from copper smelting dust

Simultaneous Removal of NOx and SO2 from Smelting Flue Gas Using Thermally Modified Copper Slag: Factor Optimization via Response Surface Methodology

Study on the degradation mechanism of 2-amino-4-acetaminoanisole from wastewater by nano-Fe3O4-catalyzed Fenton system

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Simultaneous Removal of NOx and SO₂ from Smelting Flue Gas Using Thermally Modified Copper Slag: Factor Optimization via Response Surface Methodology