化学工程2012，Vol.40Issue(10)：80-84,5.DOI:10.3969/j.issn.1005-9954.2012.10.018
褐煤配入高熔点煤灰的灰熔点预测模型研究
Ash fusion temperature prediction model of lignite blending high melting point coal ash
摘要
Abstract
In order to study the effects of blending high melting point coal ash on the ash fusion temperature of lignite, the ash fusion characteristics of lignite mixing with different anthracite ash were measured, and the BP neural network was used to predict the mixing coal ash fusion temperature based on its chemical composition and combined parameters. The results indicate that three kinds of low ash melting point of lignite can be increased by blending the anthracite ash,and the changing trends are not linear with the proportions of adding ash. The rising of ash melting point can be divided into two types; 'first rising and then leveling off and 'first rising,then keeping unchanged and finally rising again'. There may be not better effect to add the ash with much higher ash fusion temperatures for improving the ash melting temperature of lignite. BP neural network can obtain a better performance when the input layer is consisted of 8 chemical composition parameters and 5 combined parameters ( silica value, acid value,base value,dolomite ratio and R250) based on molar fraction and it can be a useful tool to predict the mixing ash fusion temperature.关键词
褐煤/配煤/灰熔点/预测模型Key words
lignite/ blending coal/ ash fusion temperature/ prediction model分类
化学化工引用本文复制引用
杨鑫,黄戒介,赵建涛,房倚天,王洋..褐煤配入高熔点煤灰的灰熔点预测模型研究[J].化学工程,2012,40(10):80-84,5.基金项目
中国科学院知识创新工程前沿方向资助项目(KGCX2-YW-334) （KGCX2-YW-334）
中国科学院知识创新工程方向项目(KGCX2-YW-397) （KGCX2-YW-397）
国家高技术研究发展计划(863)资助项目(2007AA05Z325) （863）
