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Investigation of optimum conditions in coal-oil agglomeration using Taguchi experimental design

机译：利用田口实验设计研究煤油集聚的最佳条件

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摘要

The present study was undertaken to optimize the oil agglomeration process parameters for maximum recovery of coal fines using analysis of mean (ANOM) statistical approach based on the Taguchi parameter design methodology. The various operational parameters considered during the current study were the type of coal, type of oil, coal particle size and pulp density. The study reported a maximum recovery of 91.03% under the following optimum conditions: low ash high sulphur coal, Karanja oil, coal particle size of+75-200 μm and pulp density of 3% (wt./vol.). The percentage contribution of each process parameter towards the agglomerate yield determined using Analysis of Variance (ANOVA) approach was found to be of the following order: coal particle size (55.35%) > type of coal (17.84%) > pulp density (16.50%) > type of oil (8.41%). The most influential process parameter appeared to be coal particle size which has been the primary criteria used for selection of particular process for coal washing. Linear regression analysis carried out using the SPSS 19.0 statistical software further supported the same. Further, a mathematical model was also developed to predict the agglomerate yield by oil agglomeration under the given set of boundary conditions. The experimentally obtained yields were in close agreement with the predicted yield of the model. The agglomerate yield (91.03%) obtained during the confirmation experiment carried out under optimum conditions was much higher than that observed in all the test runs and thereby, the authenticity of optimization was checked.
机译：本研究旨在通过基于Taguchi参数设计方法的均值分析（ANOM）统计方法来优化油团聚工艺参数，以最大程度地回收煤粉。在当前研究期间考虑的各种操作参数是煤的类型，油的类型，煤的粒度和纸浆密度。该研究报告了在以下最佳条件下的最大回收率：91.03％：低灰分高硫煤，卡拉汉油，煤颗粒尺寸为+ 75-200μm和纸浆密度为3％（重量/体积）。发现使用方差分析（ANOVA）方法确定的每个工艺参数对附聚物产率的百分比贡献按以下顺序排列：煤粒度（55.35％）>煤类型（17.84％）>纸浆密度（16.50％ ）>油类型（8.41％）。最具影响力的工艺参数似乎是煤的粒度，这已成为选择特定洗煤工艺的主要标准。使用SPSS 19.0统计软件进行的线性回归分析进一步支持了这一点。此外，还开发了数学模型来预测在给定的边界条件下通过油团聚产生的附聚物产率。实验获得的产率与模型的预测产率非常一致。在最佳条件下进行的确认实验中获得的附聚物收率（91.03％）远高于在所有测试运行中观察到的附聚物收率，从而检查了优化的真实性。

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  • 来源
    《Fuel》 |2012年第2012期|p.259-264|共6页
  • 作者

    G.H.V.C. Chary; M.G. Dastidar;

  • 作者单位

    Centre for Energy Studies, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110 016, India;

    Centre for Energy Studies, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110 016, India;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    oil agglomeration; taguchi design; optimization; coal beneficiation;

    机译：石油聚集;田口设计;优化;选煤;

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