| 响应面法优化铝灰中氮化铝脱除工艺 |
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| 引用本文： | 李帅,康泽双,刘万超,刘中凯,闫琨. 响应面法优化铝灰中氮化铝脱除工艺[J]. 化工环保, 2021, 41(2): 184-189. DOI: 10.3969/j.issn.1006-1878.2021.02.010 |
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| 作者姓名： | 李帅 康泽双 刘万超 刘中凯 闫琨 |
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| 作者单位： | 中铝郑州有色金属研究院有限公司,河南 郑州 450041;国家铝冶炼工程技术研究中心,河南 郑州 450041;中铝环保节能集团有限公司,北京 101300 |
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| 基金项目： | 国家重点研发计划项目（2017YFC0703100） |
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| 摘 要： | 为了优化二次铝灰中AlN氧化焙烧脱除工艺,基于响应面法建立了焙烧温度、焙烧时间、铝灰粒径等工艺参数与AlN脱除率之间的数学模型,并进行了方差分析,对铝灰中AlN的脱除工艺参数进行了优化设计.结果表明,所建立的回归模型能够准确预测AlN脱除率,预测值与实验值误差为0.93％.经优化设计得到铝灰中AlN的最佳脱除工艺参数为...
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| 关 键 词： | 铝灰 氧化焙烧 响应面法 氮化铝 回归模型 |
| 收稿时间： | 2020-07-21 |
Process optimization for AlN removing from aluminum dross by response surface method |
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| LI Shuai,KANG Zeshuang,LIU Wanchao,LIU Zhongkai,YAN Kun. Process optimization for AlN removing from aluminum dross by response surface method[J]. Environmental Protection of Chemical Industry, 2021, 41(2): 184-189. DOI: 10.3969/j.issn.1006-1878.2021.02.010 |
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| Authors: | LI Shuai KANG Zeshuang LIU Wanchao LIU Zhongkai YAN Kun |
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| Affiliation: | 1. Zhengzhou Non-ferrous Metal Research Institute Co. Ltd. of CHALCO,Zhengzhou 450041,China;2. China National Engineering Research Central for Aluminum Metallurgy,Zhengzhou 450041,China;3. CHINALCO Environmental Protection and Energy Conservation Group Co. Ltd.,Beijing 101300,China |
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| Abstract: | To optimize the process of AlN removing from secondary aluminum dross by oxidation roasting,the mathematical model of relationship between roasting temperature,roasting time,particle size of aluminum dross and AlN removal rate was established based by response surface method and variance analysis was conducted. The process parameters for AlN removal were optimized. The results show that the regression model can predict the AlN removal rate accurately,and the error between the predicted value and the test value is 0.93%. The optimum process parameters for AlN removal are as followings：roasting temperature 1 026 ℃,reaction time 36 min,and aluminum dross particle size 110 mesh. |
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| Keywords: | aluminum dross oxidation roasting response surface method aluminum nitride regression model |
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