Matching rules between dispersants and Shenfu coal slurriability

SONG Chengjian; QU Jianlin; YANG Zhiyuan; WANG Guangheng; YANG Fusheng; ZHOU Anning

doi:10.11949/j.issn.0438-1157.20160108

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Matching rules between dispersants and Shenfu coal slurriability

更新时间：2025-12-10

- Matching rules between dispersants and Shenfu coal slurriability
- CIESC Journal Issue 9, Pages: 3965-3971(2016)
- 作者机构：
  
  西安科技大学化学与化工学院,陕西,西安,710054
- 作者简介：
- 基金信息：
- DOI：10.11949/j.issn.0438-1157.20160108
  CLC： Q530
- Online First：05 September 2016，
  
  Published：05 September 2016
- 稿件说明：
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SONG Chengjian, QU Jianlin, YANG Zhiyuan, et al. Matching rules between dispersants and Shenfu coal slurriability[J]. CIESC Journal, 2016, (9): 3965-3971.
DOI：

SONG Chengjian, QU Jianlin, YANG Zhiyuan, et al. Matching rules between dispersants and Shenfu coal slurriability[J]. CIESC Journal, 2016, (9): 3965-3971. DOI： 10.11949/j.issn.0438-1157.20160108.

摘要

采用傅里叶变换衰减全反射红外光谱法（ATR-FTIR）研究了分散剂官能团特征与神府煤（SFC）成浆性匹配规律。基于4种分散剂的ATR-FTIR分析结果，采用Gaussian分峰法计算了这些分散剂中亲水基团（-OH、-C-O、-C=O、-SO3-）和疏水基团（-CH3、CH2、-C=C）的分布，研究了分散剂中亲、疏水基团对神府煤成浆性的影响。结果表明：用ZFZ分散剂所制备的神府水煤浆（SFCWS）的定黏浓度最高，用MZS分散剂制备的SFCWS的浓度最低。这主要归因于ZFZ分散剂有较多的亲水基团，相对较少的疏水基团，与神府煤有良好匹配性。采用偏最小二乘法（PLS）建立了分散剂与神府煤定黏浓度预测模型和匹配度模型，选用JJN、DNC和SMS分散剂验证了模型的精确性，误差在±1%以内，同时定黏浓度预测值和匹配度的预测值与定黏浓度的实验值变化趋势一致。

Abstract

The matching rules between dispersants and Shenfu coals (SFC) slurriability were investigated by using attenuated total internal reflectance Fourier transform infrared spectroscopy (ATR-FTIR). Based on the ATR-FTIR results of four kinds of dispersants

the hydrophilic groups (-OH、-C-O、-C=O、-SO3-) and hydrophobic groups (-CH3、CH2、-C=C) were calculated by Gaussian peak separation method

respectively

and the effects of hydrophilic and hydrophobic groups on the SFC slurriability were also discussed. The results showed that the slurry concentration of Shenfu coal water slurry (SFCWS) with ZFZ dispersants was the highest

but with MZS dispersants it was the lowest. The results indicated that ZFZ was a good kind of dispersant for SFCWS because of its less hydrophobic groups and more hydrophilic groups. A slurry concentration prediction model and matching degree model between the dispersants and SFC were further proposed by partial least squares method. The models were proved by using JJN

DNC and SMS dispersants with the errors of predictive slurry concentration within ±1%. The change trend of predictive slurry concentration and matching degree was consistent with the actual slurry concentration.

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