首页|Optimization of response surface methodology (RSM) for defluorination of spent carbon cathode (SCC) in fire-roasting aluminum electrolysis

Optimization of response surface methodology (RSM) for defluorination of spent carbon cathode (SCC) in fire-roasting aluminum electrolysis

扫码查看
Spent carbon cathode (SCC) is a typical toxic and hazardous solid waste generated in aluminum electrolysis. The harmless treatment of SCC is extremely important for the aluminum electrolysis industry. Herein, the response surface methodology was used to investigate the best process for removing fluoride from the SCC of aluminum electrolysis using the roasting method. A Box-Behnken design (BBD) was used to investigate the effects of three independent variables, namely, particle size, roasting temperature, and treatment time, on the fluorine removal rate of the SCC. Seventeen groups of experiments were conducted according to these three factors. Statistical analysis system software and a second-order polynomial model were used to analyze the data and predict the response. The results showed that the particle size, roasting temperature, and treatment time significantly influenced fluoride removal in the SCC. Under optimum process conditions, the system predicted a fluoride removal rate of 87% for the SCC. Validation experiments were conducted on the fluoride removal rate of the SCC under optimum process conditions. The results showed that the actual value reached 88%. The X-ray diffraction analysis before and after calcination showed that a small amount of SiO2 was converted into SiC through a carbon thermal reduction reaction after calcination. This paper provides a theoretical basis for the best process of roasting SCC to remove fluoride. It also has a certain guiding significance for other solid waste treatments.

Spent carbon cathodeResponse surface methodologyFire-roastingFluorine removal rateACTIVATED CARBONEXTRACTIONADSORPTION

Zhu, Zhi、Xu, Lei、Han, Zhaohui、Liu, Jianhua、Zhang, Libo、Tian, Shihong、Xu, Yongchao、Koppala, Sivasankar

展开 >

Kunming Univ Sci & Technol

Saveetha Inst Med & Tech Sci SIMATS

2022

Minerals Engineering

Minerals Engineering

EISCI
ISSN:0892-6875
年,卷(期):2022.182
  • 8
  • 29