煤质技术2024，Vol.39Issue(1)：74-78,84,6.DOI:10.3969/j.issn.1007-7677.2024.01.011
三塘湖煤田煤灰熔融性温度预测模型研究
Research on prediction model of coal ash fusibility temperature in Santanghu coalfield
朱金刚1
作者信息
- 1. 新疆维吾尔自治区煤炭煤层气测试研究所, 新疆 乌鲁木齐 830000
- 折叠
摘要
Abstract
The fusibility of coal ash is one of the important indexes to determine the smooth operation of boiler or gas-ifier,and it has a strong correlation with the chemical composition of coal ash.Therefore,the establishment of the fusibility temperature prediction model of coal ash in Santanghu coalfield is of great significance to realize the tempera-ture control of coal ash fusibility and clean and efficient utilization of coal in specific mining areas.Based on the coal ash composition and fusibility data of 70 coal samples from Santanghu coalfield,a four-variable prediction model,a ten-variable prediction model and a twelve-variable prediction model were established by using multiple linear regres-sion analysis,which took coal ash composition,Si-Al ratio,acid-base ratio as independent variables and coal ash fluidity temperature as dependent variable.The stepwise regression analysis method was used to optimize the predic-tion model and the optimal regression equation was obtained.With the increase of the number of independent varia-bles,the correlation coefficient of the model increases gradually.The optimal regression equation prediction model was tested for usability and numerical value,and the regression equation had good confidence.The predicted value of coal ash fluidity temperature in the model had a small deviation from the experimental value,indicating that the pre-diction model could perform well in prediction.关键词
煤灰熔融性/灰成分/预测模型/回归分析/变量/最优回归方程/可用性检验/数值检验Key words
fusibility of coal ash/coal ash composition/prediction models/regression analysis/variable/optimal regression equation/usability test/numerical test分类
化学工程引用本文复制引用
朱金刚..三塘湖煤田煤灰熔融性温度预测模型研究[J].煤质技术,2024,39(1):74-78,84,6.
