摘要
根据飞灰质量浓度与烟气速度的计算式建立了以易测取量为输入参数的磨损预测数学模型,通过测取预测模型的输入参数,对受热面的磨损量进行预测,并将其表示为过量空气系数与飞灰细度的函数.结果表明:过量空气系数和飞灰细度对磨损量影响显著;控制过量空气系数与煤粉细度,可以有效地降低磨损量;结合输入参数的在线测量,该模型亦可作为锅炉对流管束磨损的监测模型.
Based on formulas for calculation of fly ash mass concentration and flue gas velocity,a mathematical model for erosion prediction of heat surfaces was built up by taking quantities easy to get as input parameters.After acquisition of the input parameters,corresponding erosion prediction was then completed,of which the results were expressed in a function of excess air ratio and fly ash fineness.Results show that both the excess air ratio and fly ash fineness have an appreciable impact on erosion of boiler tubes,therefore controlling excess air ratio and fly ash fineness at an appropriate level can effectively reduce the erosive wear,and if combined with online measurement of input parameters,the model can also be used to monitor erosion condition of boiler convection tubes.
出处
《动力工程学报》
CAS
CSCD
北大核心
2012年第3期187-191,共5页
Journal of Chinese Society of Power Engineering
关键词
锅炉管束
磨损预测
过量空气系数
飞灰细度
烟气速度
boiler tube
erosion prediction
excess air ratio
fly ash fineness
flue gas velocity