• 论文
主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
准东高铁煤中伴生矿物对水煤浆成浆性能影响
  • Title

    Effect of associated minerals in Zhundong high-iron coal on theapparent properties of coal water slurry

  • 作者

    刘啸天王珊文蓉蓉许燕凤高昊阳魏博

  • Author

    LIU Xiaotian;WANG Shan;WEN Rongrong;XU Yanfeng;GAO Haoyang;WEI Bo

  • 单位

    新疆大学化工学院新疆煤炭清洁转化与化工过程自治区重点实验室

  • Organization
    Key Laboratory of Coal Clean Conversion & Chemical Engineering Process, School of Chemical Engineering and Technology,Xinjiang University
  • 摘要
    准东黑山矿区将军庙二矿的准东高铁煤储量丰富,是优质动力煤产区,以该煤样为原料煤,考察煤中主要伴生矿物对水煤浆性能影响。用煤炭浮沉分离方法获得不同矿物含量、种类和分布规律的不同密度等级煤样,并对煤样进行成浆性影响评价。经能谱仪(EDS)、X射线衍射仪(XRD)和X射线荧光仪(XRF)确定煤样中元素含量及矿物组成。最后利用SPSS软件计算不同矿物元素含量与成浆性能相关性。发现准东高铁煤密度主要集中于1.40~1.50g/cm3,占整体的55.88%,而密度>1.50g/cm3煤样约占4.88%;黄铁矿、硫酸铁、高岭土和石英石含量随煤样密度增大而增加,密度>1.50g/cm3煤样中伴生矿物含量高,Al、Si、S和Fe元素含量均达到最大,其中Fe元素质量分数从<0.5%增至5.97%;水煤浆样品黏度和稳定性也随制备煤样密度增加而下降,使用密度<1.40g/cm3的ZD1煤样制备的水煤浆黏度960mPa·s,析水率1.37%,而采用密度>1.50g/cm3煤样制备的浆体样品整体过于稀薄,成浆黏度降至320mPa·s,析水率达9.09%;相关性分析显示,煤中伴生Na、Mg和Ca元素在各个密度等级煤样中分布相对均匀,与成浆性能无明显相关性,而Al、Si、S和Fe元素的含量与成浆黏度和稳定性分别呈现显著和极其显著的负相关,即黄铁矿、硫酸铁、高岭土和石英石质量分数越高,水煤浆黏度、稳定性下降趋势越显著。
  • Abstract
    The Zhundong Heishan mining area, particularly the Jiangjunmiao No.2 mine, is abundant in high iron coal reserves, a sourceof high-quality power coal. The impact of primary associated minerals in coal on the performance of coal water slurry was focused on,using these coal samples. The samples, varying by mineral content, type, and distribution rule, were divided into different density gradesvia the coal flotation and sedimentation separation method, facilitating an evaluation of their influence on slurryability. Energy dispersivespectrometer (EDS), X-ray diffraction (XRD), and X-ray fluorescence (XRF) were utilized to pinpoint the elemental content and mineral composition in the samples. Correlations between different mineral element content and pulping performance were calculatedusing SPSS software. It was observed that the density of Zhundong high iron coal primarily concentrated in the 1.40-1.50 g/ cm3 range, representing 55.88% of the total. Coal samples exceeding 1.50 g/ cm3 in density accountes for roughly 4.88%.Pyrite, ferric sulfate, kaolin,and quartz content increased proportionally to the coal sample density. Coal samples exceeding 1.50 g/ cm3 in density contained high levelsof associated minerals, with Al, Si, S, and Fe reaching their peak. In this case, the Fe mass fraction increases from below 0.5% to5.97%. Coal water slurry samples displayes a decrease in viscosity and stability as coal sample density increases. The coal water slurry viscosity generated by the ZD1 coal sample, with less than 1.40 g/ cm3 density, stand at 960 mPa·s, with a water precipitation rate of1.37%. Meanwhile, the slurry sample generated by coal samples exceeding 1.50 g/ cm3 in density is too thin, reducing slurry viscosity to320 mPa·s and elevating the water precipitation rate to 9.09%. The correlation analysis reveales that the associated Na, Mg, and Ca elements in coal are relatively evenly distributed across coal samples at all density grades, and showes no clear correlation with the slurryforming performance. Conversely, the contents of Al, Si, S, and Fe elements are significantly and extremely significantly negatively correlated with the slurry viscosity and stability, respectively. In other words, the higher the pyrite, ferric sulfate, kaolin, and quartz massfractions are, the more pronounced the downward trend in the viscosity and stability of the coal water slurry are.
  • 关键词

    准东高铁煤浮沉分离煤样物性分析水煤浆性能相关性分析

  • KeyWords

    Zhundong high-iron coal;floating and sinking separation;coal sample physical property analysis;coal water slurry perform ance;correlation analysis

  • 基金项目(Foundation)
    新疆维吾尔自治区自然科学基金资助项目(2022D01C670);国家自然科学基金面上资助项目(22178298);天山创新团队资助项目资助项目(2023D14010);
  • DOI
  • 引用格式
    刘啸天,王珊,文蓉蓉,等.准东高铁煤中伴生矿物对水煤浆成浆性能影响[J].洁净煤技术,2024,30(6):68-74.
  • Citation
    LIU Xiaotian,WANG Shan,WEN Rongrong,et al.Effect of associated minerals in Zhundong high-iron coal on the apparentproperties of coal water slurry[J].Clean Coal Technology,2024,30(6):68-74.
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