燃料化学学报2016，Vol.44Issue(5)：521-527,7.
气化中煤灰熔点和黏度预测模型
Prediction model of ash fusion temperature and viscosity in coal gasification
摘要
Abstract
Based on classification of silica and alumina content and silica alumina ratio in coal ash, optimized prediction models of coal ash melting point and viscosity related to ash components were built. Their relationship in a wide range of ash components was also discussed. An ash fusion temperature prediction model based on liquidus temperature from FactSage Thermodynamic software demonstrates accuracy improvement with error of less than ± 40 ℃ and deviation of 25 ℃. The combination of Urbain and Roscoe model results in viscosity prediction error between prediction and experiment results within ± 0 . 1 for relative low viscosity and ± 0 . 2 for relative high viscosity. The results show that components classification model obtains better results than wide-covered model. Thus a better understanding of ash fusion mechanism is provided and gives reasonable guidance for blending and additives added to coal.关键词
煤气化/灰熔点/黏度/预测模型Key words
coal gasification/ash fusion temperature/viscosity/prediction model分类
化学化工引用本文复制引用
郑常昊,王倩,张建胜..气化中煤灰熔点和黏度预测模型[J].燃料化学学报,2016,44(5):521-527,7.基金项目
The project was supported by the National Natural Science Foundation of China (51176097).国家自然科学基金(51176097)资助 （51176097）
