Process Optimization of High-Efficiency Leaching of Cadmium from Lead Smelting Smoke Based on RSM

Li Yaoshan; Liu Yuan; Gao Zhaowei; Wen Kan; Guo Hui; Zhang Dongyang

doi:10.3969/j.issn.1000-6532.2023.05.019

2023 No. 5

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Article navigation > Multipurpose Utilization of Mineral Resources > 2023 > 44(5): 106-111

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Li Yaoshan, Liu Yuan, Gao Zhaowei, Wen Kan, Guo Hui, Zhang Dongyang. Process Optimization of High-Efficiency Leaching of Cadmium from Lead Smelting Smoke Based on RSM[J]. Multipurpose Utilization of Mineral Resources, 2023, 44(5): 106-111. doi: 10.3969/j.issn.1000-6532.2023.05.019

Citation:

Li Yaoshan, Liu Yuan, Gao Zhaowei, Wen Kan, Guo Hui, Zhang Dongyang. Process Optimization of High-Efficiency Leaching of Cadmium from Lead Smelting Smoke Based on RSM[J]. Multipurpose Utilization of Mineral Resources, 2023, 44(5): 106-111. doi: 10.3969/j.issn.1000-6532.2023.05.019

Process Optimization of High-Efficiency Leaching of Cadmium from Lead Smelting Smoke Based on RSM

1.
Western Mining Group Technology Development Co., Ltd, Key Laboratory of Plateau Mineral Processing Engineering and Comprehensive Utilization of Qinghai Province, Qinghai Province Non-ferrous Mineral Resources Engineering Technology Research Center, Xining, Qinghai, China
2.
Qinghai Xiyu Nonferrous Metals Co. Ltd, Geermu, Qinghai, China

More Information

Corresponding author: Liu Yuan, ly_xbky@163.com

Received Date: 01 May 2022

Publish Date: 25 October 2023

Abstract

Abstract

This is an essay in the field of metallurgical engineering. This work aims to investigate and optimize the effects of the leaching parameters on the selective leaching of cadmium from bottom blowing melting furnace dust. The response surface method was applied for the optimization of selective leaching parameters of cadmium from the dust. The leaching recovery of cadmium (Y1) was taken as the response variable, where the leaching time (A, h), concentration of sulphuric acid (B, mol/L), and leaching temperature (C, ℃) were considered as the independent variables (factors). The research shows that the parameters of the response surface quadratic regression model are significant. Among the model parameters, A, B, C, A² and C² are important model items. The order of influence of temperature, time and sulfuric acid concentration on Cd leaching rate is C>A>B. The F value of AB was 2.16, the F value of AC was 0.051, and the F value of BC was 0.2. The order of influence on Cd leaching rate during the interaction process was AB>BC>AC. When the temperature is 75 ℃, the time is 1.62 h, and the sulfuric acid concentration is 0.26 mol/L, the predicted cadmium leaching rate is 99.2%. Through three experiments, the average value of the cadmium leaching rate is 98.18%, and the deviation from the predicted value is 1.02, Higher is the optimum process condition for leaching of cadmium.
- Metallurgical engineering /
- Response surface method /
- Cadmium-containing soot /
- Leaching rate /
- Cadmium

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References

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