燃料化学学报2016，Vol.44Issue(12)：1430-1439,10.
配煤对高熔点煤灰熔融特性影响的研究
Influence of coal blending on ash fusion characteristics for coal with high ash fusion temperature
摘要
Abstract
Xiangyang coal with low ash fusion temperature ( AFT) and Jincheng coal with high AFT were used to prepare the blending samples. The influence of Xiangyang coal addition on AFT of Jincheng coal was explored by XRF, SEM, DSC, XRD, and ternary phase diagram analysis. The results show that blending coal can reduce the AFT effectively. The AFT of blending coal is lowered significantly when the adding amount of Xiangyang coal is lower than 24%. Whereas, when the adding amount is between 24% and 40%, AFT of the mixed coal has a slight change and the ash flow temperature is below 1 400 ℃. A series of chemical reactions among ash composition of mixed coal occur at 1 000-1 200℃, mainly including formation of high melting point compound (mullite) from SiO2 with A12O3, and that of low melting point compounds (anorthite and hercynite) from the reactions between mullite and CaO or Fe2 O3 . The above reactions mainly cause the changes of ash fusion temperature in blending coal. Based on BP neural network, a prediction model of ash fusion temperature was built. It is proved that the prediction average accuracy by BP neural network is higher than 99%, which is better than that of a previous empirical formula. Furthermore, analysis by thermodynamics software (HSC 5. 0) shows that mullite prefers to react with CaO rather than Fe2 O3 .关键词
配煤/灰熔融温度/BP神经网络Key words
coal blending/ash fusion temperature/BP neural network分类
化学化工引用本文复制引用
谢良才,李风海,薛兆民,徐龙,马晓迅..配煤对高熔点煤灰熔融特性影响的研究[J].燃料化学学报,2016,44(12):1430-1439,10.基金项目
The project was supported by the National Natural Science Foundation of China (Key Program,21536009), Shandong Provincial Natural Science Foundation (ZR2014BM014) and Xiˊan Science and Technology Project (CXY1511(4)).国家自然科学基金重点项目(21536009),山东省自然科学基金(ZR2014BM014)和西安市科技计划项目(CXY1511(4))资助 （Key Program,21536009）
