煤炭工程 ›› 2015, Vol. 47 ›› Issue (10): 122-124.doi: 10.11799/ce201510038

• 研究探讨 • 上一篇    下一篇

响应面法提高神府煤制浆浓度的研究

曲建林,张冬冬   

  1. 西安科技大学 化工与化工学院
  • 收稿日期:2015-04-21 修回日期:2015-05-26 出版日期:2015-10-12 发布日期:2015-10-19
  • 通讯作者: 曲建林 E-mail:1064439760@qq.com

Improving the concentration of shenfu coal water slurry via response surface methodology

  • Received:2015-04-21 Revised:2015-05-26 Online:2015-10-12 Published:2015-10-19

摘要: 针对神府煤丝质组含量高、高内水、高含氧量,难以制备出高浓度、低粘度的水煤浆的问题,以超细煤粉平均粒径d50=8μm煤粉百分含量,d50=6.5μm、4.5μm含量比和分散剂复配比为三因素,采用Box-Behnken设计试验,在粘度不变时,建立浓度的回归方程模型并进行方差分析。响应面分析三因素对水煤浆定粘浓度的影响,并进行优化。结果表明,最优配方为:8μm煤粉百分含量为70%,6.5μm:4.5μm为1.44,分散剂复配比为0.33,预测浓度为59.09%。按照最优配方进行试验验证,当粘度为580mPa·s时,水煤浆浓度为60.29%,与理论预测值相近,且优化后的浆体稳定性和流变性也明显改善。

关键词: 神府煤, 水煤浆, 定粘浓度, 建模, 响应面法

Abstract: Abstract: Shenfu coal is difficult to prepare high concentration and low viscosity of coal-water slurry (CWS) due to its high fusinite content, high internal water and high oxygen content. The report used the percentage of ultrafine pulverized coal (d50 =8μm), the content ratio of two kinds of ultrafine pulverized coal (d50=6.5μm and 4.5μm) and the dispersant compound ratio as three factors to design experiment with Box-Behnken. The regression equation about the constant viscosity concentration was obtained and analysed via variance analysis. Through response surface methodology, the factors effecting on the constant viscosity concentration of coal water slurry were analysed and optimized. The results shown that, the optima formula: the percentage of 8μm was 70%,the content ratio of two kinds of ultrafine pulverized coal was 1.44 and the dispersant compound ratio was 0.33, and the predicted concentration was 59.09%. Based on the optima formula, the concentration of coal water slurry was 60.29% (approximately to the predicted concentration) through testing when the viscosity was 580mPa﹒s. In addition, the stability and rheological property of coal water slurry were improved significantly after optimization.

Key words: Key word: Shenfu coal, coal water slurry, constant viscosity concentration, modeling, response surface methodology

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