School of Mining, Liaoning Technical University
College of Science, Liaoning Technical University
Batang Company, Huadian Jinsha River Upstream Hydropower Development Company Limited
School of Materials Science and Engineering, Liaoning Technical University

为解决煤矸石氯化焙烧除铁过程中氯化剂消耗量过高、焙烧时间掌握不准以及除铁率难以达到期望值的问题,以CaCl2作为氯化剂对煤矸石进行氯化焙烧除铁,在焙烧温度分别为600℃,700℃,800℃,900℃,1000℃,CaCl2添加量(质量分数)分别为5%,10%,15%,20%,25%,焙烧时间分别为90min,120min,150min,180min,210min的单因素实验基础上,通过De-sign-Expert13.0.6软件设计和优化了煤矸石氯化焙烧除铁实验。通过方差分析、等高线分析、响应面分析证明了模型的可靠并分析了各变量之间的交互影响关系。运用响应面优化法以除铁率为指标优化了工艺参数。结果表明:焙烧温度与焙烧时间交互最为显著,CaCl2添加量与焙烧时间交互最低。各影响因子按影响显著性由大到小依次为焙烧温度、CaCl2添加量、焙烧时间;随着焙烧温度升高除铁率进一步提升,由于焙烧温度超过1000℃后产物会转为莫来石,因此控制焙烧温度不超过950℃,当CaCl2添加量达到15%时除铁率最好,超过这一添加量会降低除铁率,焙烧时间达到180min时除铁率基本上达到了最高值,继续延长焙烧时间对除铁率的影响不大;对响应面模型预测并优化后得到了最佳的工艺条件,即焙烧温度为915℃,CaCl2添加量为15%,焙烧时间为175min,在此条件下除铁率达到了95.23%,实验值与预测值基本一致。

To address issues such as excessive chlorinating agent consumption, inaccurateroasting time has the least significant impact. The order of significance for the influence factors from large to small is as follows: roasting temperature, CaCl2 added amount, roasting time. The iron removal ratio continues to increase with an increase in the roasting temperature. Given the product transforms into mullite when the roasting temperature surpasses 1 000 ℃, it is required to keep the roasting temperature below 950 ℃. When the addition of CaCl2 reaches 15%, the best iron removal ratio is achieved. Exceeding this amount will reduce the iron removal ratio. When the roasting time reaches 180 min, the iron removal ratio approaches its peak value. Fur-ther extending the roasting time has little effect on the iron removal ratio. The process condi-tions, determined through the prediction and optimization of the response surface model, are as follows: roasting temperature at 915 ℃, CaCl2 added amount at 15%, and roasting time at 175 min. Under these conditions, the iron removal ratio reaches 95.23%, the actual experimental re-sults closely align with the predicted values.

2021年度辽宁省教育厅科学研究经费项目(LJKZ0328).

张雨涵,赵雪淞,李婷婷,等.基于响应面法的煤矸石氯化焙烧除铁工艺参数优化[J].煤炭转化,2024,47(1):81-90

ZHANG Yuhan,ZHAO Xuesong,LI Tingting,et al.Optimization of process parameters for iron removal by chlorination roasting of coal gangue based on response surface methodology[J].Coal Conversion,2024,47(1):81-90