密度对电厂中速磨煤机分离器分离过程的影响
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摘要
为探究矿物密度对煤粉分离器中物料分离效果的影响,进行了不同密度纯矿物分离试验,采用Whiten分离效率模型阐述了密度对分离精度、分离粒径以及分离过程中"鱼钩效应"现象的影响规律,并以Whiten模型为参考,建立了含有颗粒粒度和密度参数的分离效率曲线模型.结果表明:分离器溢流的产率和R90均随密度的降低而升高;随风量的增大,分离器溢流的产率增加,R90增大.低密度物料有较高的鱼钩参数、分离精度和分离粒径.风量的增加会导致分离精度降低,并且加剧高密度物料的鱼钩效应.新模型能更准确地描述同一操作条件下不同密度矿物的分离效率.
To investigate the impact of particle density on classification effect in the air classifier,classification tests were conducted among pure minerals with different density.The Whiten model was applied to illustrate the influence of density on the separation accuracy,separation particle size and fishhook effect.Based on the Whiten model,a new classification efficiency model,considering particle size and density,was established.Results show that both the yield and R90 of overflow increase with the decreasing of density,and the growth of air volume also lead them to rise.Material with lower density has a higher fishhook effect parameter,classification accuracy and particle size.The increase of air volume would result in the decreasing of classification sharpness,and a more evident fishhook effect for high density material.The new model can more precisely describe the classification efficiency of materials with different densityin identical experiment conditions.
To investigate the impact of particle density on classification effect in the air classifier,classification tests were conducted among pure minerals with different density.The Whiten model was applied to illustrate the influence of density on the separation accuracy,separation particle size and fishhook effect.Based on the Whiten model,a new classification efficiency model,considering particle size and density,was established.Results show that both the yield and R90 of overflow increase with the decreasing of density,and the growth of air volume also lead them to rise.Material with lower density has a higher fishhook effect parameter,classification accuracy and particle size.The increase of air volume would result in the decreasing of classification sharpness,and a more evident fishhook effect for high density material.The new model can more precisely describe the classification efficiency of materials with different densityin identical experiment conditions.
引文
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[2]谢卫宁.基于能量特征参数的燃煤电厂中速磨煤机碎磨动力学的基础研究[D].徐州:中国矿业大学,2016:102-105.XIE Weining.Fundamental research on grinding kinetics of vertical spindle pulverizer in power plants based on energetic characterized parameters[D].Xuzhou:China University of Mining and Technology,2016:102-105.
[3]杨龙滨,高振森,吕玉庭.不同挡板开度下静态分离器分离性能数值模拟[J].黑龙江科技学院学报,2009,19(4):253-257.YANG Longbin,GAO Zhensen,LYuting.Numerical simulation on separation performance of stationary classifier with different opening ratio of baffle plate[J].Journal of Heilongjiang Institute of Science and Technology,2009,19(4):253-257.
[4]何亚群,周念鑫,左蔚然,等.不同磨煤粒度条件下煤粉分离器分离特性研究[J].中国粉体技术,2012,18(1):61-65.HE Yaqun,ZHOU Nianxin,ZUO Weiran,et al.Study on separation characteristics of pulverized fuel classifier under different ground coal size[J].China Powder Science and Technology,2012,18(1):61-65.
[5]周念鑫.煤粉分离器分离特性研究及数值模拟[D].徐州:中国矿业大学,2011:52-55.ZHOU Nianxin.Separation characterizes and numerical simulation of the pulverized coal classifier[D].Xuzhou:China University of Mining and Technology,2011:52-55.
[6]李永华,程学远,魏杰儒.旋转煤粉分离器分离特性的数值研究[J].电力科学与工程,2013,29(8):46-49.LI Yonghua,CHENG Xueyuan,WEI Jieru.Numerical simulation on separation characteristic of rotary pulverized coal separator[J].Electric Power Science and Engineering,2013,29(8):46-49.
[7]李永华,王治博,杨小海.动态粗粉分离器结构优化与数值模拟[J].锅炉技术,2014,45(3):11-14.LI Yonghua,WANG Zhibo,YANG Xiaohai.Numerical simulation and structure optimization of rotary pulverized coal separator[J].Boiler Technology,2014,45(3):11-14.
[8]田小伟,刘宝先.EM型磨煤机分离器性能的数值模拟[J].中国粉体技术,2016,22(4):31-34.TIAN Xiaowei,LIU Baoxian.Numerical simulation on separator performance of EM coal mills[J].China Powder Science and Technology,2016,122(4):31-34.
[9]吕太,丁帅,程超.ZGM型中速磨煤机分离器挡板开度优化研究[J].电站系统工程,2016,32(4):21-24.LTai,DING Shuai,CHENG Chao.Optimization study on separator baffle opening of ZGM medium speed mill[J].Power System Engineering,2016,32(4):21-24.
[10]吕太,丁帅,程超.粗粉分离器挡板开度对煤粉粒子分离特性影响的数值研究[J].东北电力大学学报,2016,36(4):39-43.LTai,DING Shuai,CHENG Chao.Numerical simulation on the effect of baffle opening on the separation characteristics of coal particles in separator[J].Journal of Northeast Dianli University,2016,36(4):39-43.
[11] WEI Hua,HE Yaqun,SHI Fengnian,et al.Breakage and separation mechanism of ZGM coal mill based on parameters optimization model[J].International Journal of Mining Science and Technology,2014,24(2):285-289.
[12]陈波.HP磨煤机稳态特性与经济细度研究[D].南京:东南大学,2016:30-33.CHEN Bo.Research on steady-state characteristics of HP mill and economic granule size of pulverized coal[D].Nanjing:Southeast University,2016:30-33.
[13] ATAS S,TEKIR U,PAKSOY M A,et al.Numerical and experimental analysis of pulverized coal mill classifier performance in the Soma B Power Plant[J].Fuel Process Technology,2014,126:441-452.
[14] SHI F N,KOJOVIC T,BRENNAN M.Modeling of vertical spindle mills.Part 1:Sub-models for comminution and classification[J].Fuel,2015,143:595-601.
[15] SHI F,HE Y Q.Efficiency improvements in coal fired utilities[R].Asia-Pacific Partnership on Clean Development and Climate,2011:56-57.
[16] QIN Wenqing,WU Jiajia,JIAO Fen,et al.Mechanism study on flotation separation of molybdenite from chalcocite using thioglycollic acid as depressant[J].International Journal of Mining Science and Technology,2017,27(6):1043-1049.
[17]张亚恒.电厂磨煤机返料振动流化床分选的床层特性研究及数值模拟[D].徐州:中国矿业大学,2016:15-21.ZHANG Yaheng.Characteristics of bed and numerical simulation of particle separation of recirculating load of power station pulverizer in the vibrated fluidized bed[D].Xuzhou:China University of Mining and Technology,2016:15-21.
[18] LI Hong,HE Yaqun,SHI Fengnian,et al.Performance of the static air classifier in a vertical spindle mill[J].Fuel,2016,177:8-14.
[19]ZER C,WHITEN W J,SHI F N,et al.Investigation of the classification operation in a coal pulverising vertical spindle pulveriser[C].XXV International Mineral Processing Congress,Brisbane:Australian Institute of Mining and Metallurgy,2010:1065-1076.
[20]ZER C E.A new multi-component model for the vertical spindle mill[D].Brisbane:University of Queensland,2011:148-156.
[21] ALTUN O,TOPRAK A,BENZER H,et al.Multi component modeling of an air classifier[J].Mineral Engineering,2016,93:50-56.