摘要
结合燃料智能化项目并针对采样留样量大的特点,开发设计采制一体化的前置大质量缩分连接系统。经来样量及煤流通道、全水分偏倚、破碎过筛率、缩分量调节、烘干效率等详细需求分析后设计了全新的制样工艺路线及“采制弃”全自动生产线的一体化布局。ASM550制样机经数月的生产运行并通过第三方制样和化验精密度核验、灰分偏倚试验、全水分偏倚试验,出样质量试验后已基本达到项目预期的目标要求,即系统安装简洁、不堵煤、稳定运行、制样效率高。最后结合使用情况对系统主要的破碎、缩分、烘干、研磨设计进行归纳总结,并对整机系统后续持续优化设计提出了新的设计思路。
Combining with the fuel intelligent project and regarding to the character of big amount of sample reservation in coal sampling,the integration system of sampling and sample preparation with front big mass division connection system was developed and designed.After analysis of detail requirements such as sample amount received,coal stream pass way,total moisture bias,crushing sieving rate,division amount adjustment and drying efficiency,the new sample preparation process path and integration layout of "sampling,sample preparation and discarding" automatic production line were designed,the ASM 550 sample preparation machine had been in operation for several months,and it had been got through examinations such as the third party sample preparation and test precision check,ash content bias experiment,total moisture bias experiment and sample quality test,the target requirement of project prediction could be reached already,the system installation was simple and neat,the coal block would not happen,the operation was stable,and the sample preparation efficiency was high.Finally,combining with the utilizing circumstance,the main designs in the system like crushing,division,drying and grinding were summarized,and the new design thought was proposed for follow-up continuous optimization and design of whole machine system.
作者
兰勇波
李波
冯奎
闵雄
LAN Yong-bo;LI Bo;FENG Kui;MIN Xiong(Chongqing Hengtai Power Generation Corporation Ltd.,Chongqing 400000,China;Guodian Science and Technology Research Institute Corporation Ltd.,Nanjing 210000,China;Yuanguang Gongchuang Intelligent Technology Corporation Ltd , Zhuhai 519000,China)
出处
《煤质技术》
2019年第3期31-35,共5页
Coal Quality Technology
关键词
智能制样系统
破碎缩分
精密度核验
全水分偏倚
灰分偏倚
破碎过筛率
缩分量调节
烘干效率
制样效率
intelligent sample preparation system
crushing and division
precision verification
total moisture bias
ash content bias
crushing sieving rate
division amount adjustment
drying efficiency
sample preparation efficiency