响应曲面法优化铅转炉灰的砷浸出过程

王焕龙; 焦芬; 刘维; 韩俊伟; 李文华; 覃文庆

doi:10.3969/j.issn.1000-6532.2022.03.032

响应曲面法优化铅转炉灰的砷浸出过程

1.
中南大学矿物加工与生物工程学院，湖南　长沙　410083

2.
湖南省战略性含钙矿产资源清洁高效利用重点实验室，湖南　长沙　410083

详细信息

作者简介: 王焕龙（1997-），男，硕士，研究方向为再生资源高效清洁利用

通讯作者: 焦芬（1983-），女，教授, 研究方向为再生资源高效清洁利用

中图分类号: TD989

收稿日期: 2021-09-07

刊出日期: 2022-06-25

Optimization of Arsenic Leaching From Lead Converter Ash by Response Surface Methodology

1.
School of Minerals Processing and Bioengineering, Central South University, Changsha, Hunan, China

2.
Key Laboratory of Hunan Province for Clean and Efficient Utilization of Strategic Calcium-containing Mineral Resources, Changsha, Hunan, China

More Information

Corresponding author: Jiao Fen, jfen0601@126.com

Received Date: 07 September 2021

Publish Date: 25 June 2022

摘要

摘要:
以硫酸为浸出介质，通过响应面方法和Box-Behnken设计（BBD）对浸出条件，包括酸浓度、液固比和温度进行优化。结果表明，酸浓度是最重要的因素，其次是温度和液固比。通过响应面优化，确定在酸浓度为116.77 g/L，液固比为8，温度为170℃的较佳工艺条件下，铜转炉灰中砷的提取率达到94.49%，说明响应面方法可以成功优化铅转炉砷灰的酸提取实验。
- 响应曲面法 /
- 除砷 /
- 砷烟灰 /
- 酸浸 /
- Box-Behnken
Abstract:
Sulfuric acid was used as the leaching medium, and the leaching conditions, including acid concentration, liquid-solid ratio and temperature, were optimized by response surface methodology and Box-Behnken design (BBD). The results showed that the acid concentration was the most important factor, followed by temperature and liquid-solid ratio. Through response surface optimization, the optimal process conditions were determined as follows: acid concentration of 116.77 g/L, liquid-solid ratio of 8, and temperature of 170℃. Under these conditions, the arsenic extraction rate of copper converter reached 94.49%, indicating that the acid extraction experiment of lead converter arsenic ash could be successfully optimized by response surface methodology.
- Response surface methodology /
- Arsenic removal /
- Arsenic smelter /
- Acid leaching /
- Box-Behnken

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图 1 As-H₂O系统E-pH

Figure 1.

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图 2 不同浸出条件对砷提取的影响

Figure 2.

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图 3 酸浓度100 g/L时，砷浸出率随温度和液固比变化的响应

Figure 3.

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图 4 170℃时砷浸出率对酸浓度和温度的响应

Figure 4.

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图 5 液固比8时砷浸出率对酸浓度和温度的响应

Figure 5.

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图 6 浸出矿渣XRD

Figure 6.

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图 7 含砷净化渣的SEM-EDS分析

Figure 7.

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表 1 高砷铅冶炼粉尘的主要化学成分/%

Table 1. Main chemical composition of high arsenic lead smelting dust

As	Pb	Cd	Sb	S
34.20	11.10	6.63	7.36	3.28

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表 2 酸浸响应曲面分析结果

Table 2. Analysis results of acid leaching response surface

编号	因素			砷浸出率/%
编号	T/ ℃	(S/L)/ （ g·mL^-1）	[H₂SO₄]/ （ g·L^-1）	砷浸出率/%
1	130	4	100	66.17
2	170	4	100	77.35
3	130	8	100	79.07
4	170	8	100	91.61
5	130	6	80	58.06
6	170	6	80	71.35
7	130	6	120	77.65
8	170	6	120	91.42
9	150	4	80	59.06
10	150	8	80	71.25
11	150	4	120	78.63
12	150	8	120	86.07
13	150	6	100	79.49
14	150	6	100	79.96
15	150	6	100	79.58

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表 3 酸浸过程中各模型的回归系数

Table 3. Regression coefficients of each model during acid leaching

参数	DF	Adj SS	Adj MS	F -value	P -value
模型	9	0.137905	0.015323	63.65	0.000
线性	3	0.128149	0.042716	177.43	0.000
温度	1	0.032230	0.032230	133.87	0.000
液固比	1	0.027378	0.027378	113.72	0.000
酸度	1	0.068541	0.068541	284.70	0.000
平方	3	0.009142	0.003047	12.66	0.009
温度*温度	1	0.000006	0.000006	0.03	0.879
液固比*液固比	1	0.000366	0.000366	1.52	0.272
酸度*酸度	1	0.008969	0.008969	37.25	0.002
两种因素交互	3	0.000614	0.000205	0.85	0.523
温度*液固比	1	0.000046	0.000046	0.19	0.680
温度*酸度	1	0.000006	0.000006	0.02	0.882
液固比*酸度	1	0.000562	0.000562	2.34	0.187
误差	5	0.001204	0.000241
失拟	3	0.001192	0.000397	64.95	0.015
纯差总计	2 14	0.000012 0.139109	0.000006
DF-自由度; adj SS-调整后的方差之和; adj MS-调整后的均方差

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表 4 浸出渣主要元素化学成分/.%

Table 4. Chemical composition of main elements of leaching residue

As	Pb	Cd	Sb
4.67	8.18	4.20	6.37

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