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响应曲面法优化Na2S-NaOH体系浸出硫酸烧渣中的砷

王永良, 肖力, 付国燕, 刘娅, 韩培伟, 钱鹏, 叶树峰, 陈运法

王永良, 肖力, 付国燕, 刘娅, 韩培伟, 钱鹏, 叶树峰, 陈运法. 响应曲面法优化Na2S-NaOH体系浸出硫酸烧渣中的砷[J]. 工程科学学报, 2018, 40(9): 1036-1042. DOI: 10.13374/j.issn2095-9389.2018.09.003
引用本文: 王永良, 肖力, 付国燕, 刘娅, 韩培伟, 钱鹏, 叶树峰, 陈运法. 响应曲面法优化Na2S-NaOH体系浸出硫酸烧渣中的砷[J]. 工程科学学报, 2018, 40(9): 1036-1042. DOI: 10.13374/j.issn2095-9389.2018.09.003
WANG Yong-liang, XIAO Li, FU Guo-yan, LIU Ya, HAN Pei-wei, QIAN Peng, YE Shu-feng, CHEN Yun-fa. Arsenic removal from pyrite cinders in Na2S-NaOH solution with parameters optimized using the response surface methodology[J]. Chinese Journal of Engineering, 2018, 40(9): 1036-1042. DOI: 10.13374/j.issn2095-9389.2018.09.003
Citation: WANG Yong-liang, XIAO Li, FU Guo-yan, LIU Ya, HAN Pei-wei, QIAN Peng, YE Shu-feng, CHEN Yun-fa. Arsenic removal from pyrite cinders in Na2S-NaOH solution with parameters optimized using the response surface methodology[J]. Chinese Journal of Engineering, 2018, 40(9): 1036-1042. DOI: 10.13374/j.issn2095-9389.2018.09.003

响应曲面法优化Na2S-NaOH体系浸出硫酸烧渣中的砷

基金项目: 

国家高技术研究发展计划资助项目(2011AA06A104)

十二五国家科技支撑计划资助项目(2012BAB08B04)

详细信息
  • 分类号: TD98

Arsenic removal from pyrite cinders in Na2S-NaOH solution with parameters optimized using the response surface methodology

  • 摘要: 硫酸烧渣作为重要的二次资源,除砷有利于提高烧渣的价值.针对某含砷硫酸烧渣预处理脱砷的问题,采用Na2S-NaOH体系浸出烧渣中的砷.首先采用单因素试验确定Na2S和NaOH的药剂用量范围,进而采用响应曲面法优化浸出工艺参数.结果显示,响应曲面法优化Na2S-NaOH体系中浸出砷的模型显著,Na2S、NaOH和温度均对砷的浸出有着重要影响,且温度越高越有利于砷的浸出,Na2S和NaOH之间存在明显的交互作用,在80℃、NaOH浓度为0.34 mol·L-1、Na2S浓度为0.12mol·L-1时,浸出后烧渣中的砷质量分数可以降低到0.08%.
    Abstract: Pyrite cinder is one of the important secondary resources; however, the arsenic typically contained in pyrite cinder is harmful to metallurgical process. The removal of arsenic can improve the value of pyrite cinders. Thus, a pretreatment method for removal of arsenic from pyrite cinders using a Na2S-NaOH solution was investigated in this paper. A single factor experiment was conducted to determine the appropriate concentration ranges of NaOH and Na2S, and then the response surface methodology (RSM) was used to optimize the leaching parameters. The results indicate that the optimized RSM model is reliable. The temperature, NaOH concentration, and Na2S concentration have significant effects on the arsenic removal. The higher temperature is found to be favorable to the leaching of arsenic, and a significant interaction is found between the concentrations of NaOH and Na2S. The content of arsenic in the leaching slag can be reduced to 0.08% at 80℃ when the concentration of NaOH and Na2S is 0.34 and 0.12 mol·L-1, respectively.
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出版历程
  • 收稿日期:  2017-09-11
  • 刊出日期:  2018-09-24

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