首页|响应曲面法优化含镍铜尾矿还原焙烧—磁选工艺提镍

响应曲面法优化含镍铜尾矿还原焙烧—磁选工艺提镍

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针对某含镍铜尾矿镍品位低、矿物组成复杂等问题,以焦炭为还原剂,NaCl、Na2 CO3 和NaClO为添加剂,采用还原焙烧方法对含镍铜尾矿进行预处理,焙烧熟料采用磁选回收镍.采用Box-Behnken响应曲面法进行试验设计并优化含镍铜尾矿还原焙烧过程中各添加剂用量,分析各因素水平间的交互作用对磁选指标的影响,并建立自变量与响应值间的数学预测模型,确定还原焙烧—磁选工艺处理含镍铜尾矿的最优工艺条件为:NaCl用量 23.723%、Na2 CO3 用量 14.552%、NaClO用量 10%,在此条件下得到预测磁选镍精矿的镍品位为 3.528%.试验结果对优化含镍铜尾矿还原焙烧工艺具有可行性.
Optimization of Nickel Extraction from Nickel-bearing Copper Tailings Using Reduction Roasting-Magnetic Separation Process with Response Surface Methodology
Aiming at the problems of low grade and complex mineral phase of a nickel-bearing g copper tailings,the nick-el-copper tailings were pretreated by reduction roasting method with coke as reducing agent,NaCl,Na2 CO3 and NaClO as the roasting additives.In order to improve the separation and enrichment index,the Box-Behnken response surface method was used to design the experiment and optimize the dosage of various additives in the reduction roasting of nickel-containing copper tail-ings.The influence of the interaction between the factors on the magnetic separation index was analyzed,and the mathematical prediction model between the independent variables and the response values was established.The optimal process conditions for reduction roasting-magnetic separation of nickel-containing copper tailings were determined:NaCl dosage 23.723%,Na2 CO3 dosage 14.552%,NaClO dosage 10%.Under this condition,the predicted nickel grade of magnetic separation concentrate was 3.528%.It has certain practicability and feasibility for optimizing the reduction roasting process of nickel-containing copper tailings.

nickelnickel-bearing copper tailingsroastingmagnetic separationresponse surface methodology

陈肖汀、肖军辉、陈正义、李成秀

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四川省非金属矿粉体改性与高质化利用工程实验室,四川 绵阳 621010

中国地质科学院矿产综合利用研究所自然资源部战略性矿产综合利用工程技术创新中心,四川 成都 610041

固体废物处理与资源化利用教育部重点实验室,四川 绵阳 621010

西南科技大学环境与资源学院,四川 绵阳 621010

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镍 含镍铜尾矿 焙烧 磁选 响应曲面法

中央引导地方科技发展专项四川省科技计划项目四川省科技计划项目四川省科技计划项目自然资源部战略性矿产综合利用工程技术创新中心项目四川省自然资源厅项目

2023ZYD002824NSFSC21502022YFS05092021YJ0057CCUM-KY-2304KJ-2023-003

2024

10.19614/j.cnki.jsks.202404037

金属矿山
中钢集团马鞍山矿山研究院 中国金属学会

金属矿山

CSTPCD北大核心
影响因子：0.935
ISSN：1001-1250
年,卷(期)：2024.(4)
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