基于微分代数积分矩量法的聚并器超细颗粒聚团研究

doi:10.11949/j.issn.0438-1157.20160874

化工学报 ›› 2017, Vol. 68 ›› Issue (1): 119-128.DOI: 10.11949/j.issn.0438-1157.20160874

基于微分代数积分矩量法的聚并器超细颗粒聚团研究

郑建祥, 许帅, 王京阳, 史梦燚, 汪龙

东北电力大学能源与动力工程学院, 吉林省吉林市 132012

收稿日期:2016-06-27 修回日期:2016-10-20 出版日期:2017-01-05 发布日期:2017-01-05
通讯作者: 郑建祥
基金资助:
吉林省教育厅“十三五”科研项目（[2016]第81号）；吉林市科技发展项目（20156405）。

Simulation of ultrafine particle aggregation in aggregation device by differential-algebraic quadrature method of moments

ZHENG Jianxiang, XU Shuai, WANG Jingyang, SHI Mengyi, WANG Long

School of Energy and Power Engineering, Northeast Electric Power University, Jilin 132012, Jilin, China

Received:2016-06-27 Revised:2016-10-20 Online:2017-01-05 Published:2017-01-05
Contact: 10.11949/j.issn.0438-1157.20160874
Supported by:
supported by the 13th Five-year Research Program of Jilin Province Education Department ([2016] No.81) and the Science and Technology Development of Jilin(20156405).

摘要/Abstract

摘要：

研究聚并器内布朗聚团和湍流聚团引起超细颗粒聚团，特别考虑颗粒之间近程力（范德华引力、静电斥力）和颗粒与气体之间的流体力学作用力对颗粒聚团的影响。基于FLUENT软件UDF功能自定义聚团核，考虑颗粒之间近程力和流体力学作用力对聚并率的影响，引入碰撞效率α对聚团核进行修正，得到修正湍流聚并模型并将该模型与理想湍流聚并模型进行比较。应用群体平衡模型（population balance model，PBM）耦合CFD对颗粒聚团过程进行数值模拟，并采用微分代数积分矩量法（DAE-QMOM）求解群体平衡方程。结果表明：理想湍流聚并模型与实验结果误差为8.92%，而修正改进的湍流聚团模型与实验结果误差仅为3.35%，更加符合实际情况；微分代数积分矩量法具有较高的效率，而且误差较小，相比PD积分矩量法有明显的优势，稳定性也比较突出。

关键词: 超细颗粒物, 湍流聚并器, 群体平衡模型, 颗粒聚团, 聚并率, 微分代数积分矩量法

Abstract:

The ultrafine particle aggregation arising from Brownian aggregation and Turbulence aggregation in turbulence aggregation device was studied, especially influences of short range force(van der Walls attraction and electric repulsion) among particles and hydrodynamics between particle and gas upon particle aggregation.Based on user-defined aggregation kernel of UDF function of FLUENT software, influences of short range force and hydromechanics among particles upon aggregation rate were studied and aggregation kernel was corrected using collision efficiencyα.Then, a corrected turbulence aggregation model was established and was compared with an ideal turbulence aggregation model.Particle aggregation process underwent numerical simulation using population balance model(PBM) coupling CFD and population balance equation was solved using differential-algebraic framework(DAE-QMOM).The results showed an error of 8.92% between the ideal turbulence aggregation model and the experimental result and an error of 3.35% between the corrected turbulence aggregation model and the experimental result, the latter conformed to practical situations better.Differential-algebraic quadrature method of moment as a high efficiency, a small error rate and a high reliability, it has obvious advantages over PD quadrature method of moment.

Key words: ultrafine particle, turbulence aggregation device, population balance model, particle aggregation, aggregation rate, differential-algebraic framework quadrature method of moments

中图分类号:

TK124

郑建祥, 许帅, 王京阳, 史梦燚, 汪龙. 基于微分代数积分矩量法的聚并器超细颗粒聚团研究[J]. 化工学报, 2017, 68(1): 119-128.

ZHENG Jianxiang, XU Shuai, WANG Jingyang, SHI Mengyi, WANG Long. Simulation of ultrafine particle aggregation in aggregation device by differential-algebraic quadrature method of moments[J]. CIESC Journal, 2017, 68(1): 119-128.

参考文献 28

[1]	龙正伟, 冯壮波, 姚强. 静电除尘器数值模拟[J]. 化工学报, 2012, 63(11):3393-3401. LONG Z W, FENG Z B, YAO Q. Numerical modeling of electrostatic precipitator[J]. CIESC Journal, 2012, 63(11):3393-3401.
[2]	熊桂龙, 李水清, 陈晟, 等. 增强PM_(2.5)脱除的新型电除尘技术的发展[J]. 中国电机工程学报, 2015, 35(9):2217-2223. XIONG G L, LI S Q, CHEN S, et al. Development of advanced electrostatic precipitation technologies for reducing PM2.5 emissions from coal-fired power plants[J]. Proceedings of the CSEE, 2015, 35(9):2217-2223.
[3]	隋建才, 徐明厚, 丘纪华, 等. 燃煤可吸入颗粒的物理化学特性及形成机理[J]. 化工学报, 2006, 57(7):1664-1670. SUI J C, XU M H, QIU J H, et al. Physical and chemical properties and formation mechanism of inhaled particles produced by coal combustion[J]. Journal of Chemical Industry and Englineering(China), 2006, 57(7):1664-1670.
[4]	YAO Q, LI S Q, XU H W, et al. Studies on formation and control of combustion particulate matter in China:a review[J]. Energy, 2010, 35(11):4480-4493.
[5]	颜金培, 陈立奇, 杨林军. 燃煤细颗粒在过饱和氛围下声波团聚脱除的实验研究[J]. 化工学报, 2014, 65(8):3243-3249. YAN J P, CHEN L Q, YANG L J. Agglomeration removal of fine particles at super-saturation steam by using acoustic wave[J]. CIESC Journal, 2014, 65(8):3243-3294.
[6]	洪亮, 王礼鹏, 祁慧,等. 细颗粒物团聚性能实验研究[J]. 热力发电, 2014, 43(9):124-128. HONNG L, WANG L P, QI H, el al. Experimental research on agglomeration characteristics of fine particlulate matters in Shajiao C Power Plant[J]. Thermal Power Generation, 2014, 43(9):124-128.
[7]	TRUCE R, CRYNACK R, WILKINS J, 等. INDIGO凝聚器——减少电除尘器可见排放物的有效技术[C]//第11届全国电除尘学术会议论文集. 2005:244-252. TRUCE R, CRYNACK R, WILKINS J, et al. The indigo agglomerator:the effective technology to reduce ESP visible emissions[C]//Proceedings of the 11th Conference of ESP. 2005:244-252.
[8]	LI Y F, YANG J G, WANG Y Y, et al. A novel turbulent aggregation device for flue gas[C]//Advanced Materials Research. Trans Tech Publications, 2014, 955:2425-2429.
[9]	郑建祥, 朱秀丽. 粘附性颗粒流化特性研究及信息熵分析[J]. 东北电力大学学报, 2015, 35(2):18-22. ZHENG J X, ZHU X L. Study and application of shannon entropy in analysis of flow behavior of cohesive particle agglomerations[J]. Journal of Northeast Dianli University, 2015, 35(2):18-22.
[10]	刘忠, 刘含笑, 冯新新,等. 湍流聚并器流场和颗粒运动轨迹模拟[J]. 中国电机工程学报, 2012, 32(14):71-75. LIU Z, LIU H X, FENG X X, et al. Simulation for the flow field of the turbulence coalescence device and the trajectory of particles[J]. Proceedings of the CSEE, 2012, 32(14):71-75.
[11]	MCGRAW R. Description of aerosol dynamics by the quadrature method of moments[J]. Aerosol Science & Technology, 2007, 27(2):255-265.
[12]	GORDON R G. Error bounds in equilibrium statistical mechanics[J]. Journal of Mathematical Physics, 1968, 9(5):655-663.
[13]	RONG F, MARCHISIO D L, FOX R O. Application of the direct quadrature method of moments to polydisperse gas-solid fluidized beds[J]. Powder Technology, 2004, 139(1):7-20.
[14]	GIMBUN J, NAGY Z K, RIELLY C D. Simultaneous quadrature method of moments for the solution of population balance equations, using a differential algebraic equation framework[J]. Industrial & Engineering Chemistry Research, 2009, 3(1):23-28.
[15]	SAFFMAN P G, TURNER J S. On the collision of drops in turbulent clouds[J]. Journal of Fluid Mechanics, 1956, 1(1):16-30.
[16]	ZHOU Y, WEXLER A S, WANG L P. On the collision rate of small particles in isotropic turbulence(Ⅱ):Finite inertia case[J]. Physics of Fluids, 1998, 10(5):1206-1216.
[17]	刘含笑, 姚宇平, 郦建国. 凝聚器二维单扰流柱流场中颗粒凝并模拟[J]. 动力工程学报, 2015, 4(5):292-297. LIU H X, YAO Y P, LI J G. Coagulating simulation of particles in flow field of coagulator 2D single turbulence column[J]. Journal of Chinese Society of Power Engineering, 2015, 4(5):292-297.
[18]	李云飞. 煤烟气细颗粒物湍流团聚的研究[D]. 哈尔滨:哈尔滨工业大学, 2014. LI Y F. Research on turbulent aggegation of fine particles in flue gas[D]. Harbin:Harbin Institute of Technology, 2014.
[19]	陈阿强, 王振波, 孙治谦. 基于相群平衡模型的浮选气泡聚并模拟[J]. 化工学报, 2015, 66(12):4780-4787. CHEN A Q, WANG Z B, SUN Z Q. Numerical simulayion of bubble coalescence in dissolved air flotation tank based on population balance model[J]. CIESC Journal, 2015, 66(12):4780-4787.
[20]	MEYER C J, DEGLON D A. Particle collision modeling-a review[J]. Minerals Engineering, 2011, 24(8):719-730.
[21]	CHENG J C, VIGIL R D, FOX R O. A competitive aggregation model for Flash NanoPrecipitation[J]. Journal of Colloid & Interface Science, 2010, 35(2):330-342.
[22]	HOGG R, HEALY T W, FUERSTENAU D W. Mutual coagulation of colloidal dispersions[J]. Trans. Faraday Soc., 1966, 62(3):1638-1651.
[23]	FUCHS N. Uber die stabilitat and aufladung der aerosole[J]. Zeitschrift fur Physik, 1934, 89(11):736-743.
[24]	HAN M Y, LEE H. Collision effiency factor in Brownian cogulation for unstable and stable suspension including hydrodynamics and interparticle forces[J]. KSCE Journal of Civil Engineering, 1997, 1(1):95-102
[25]	CHUN J, KOCH D L. Coagulation of monodisperse aerosol particles by isotropic turbulence[J]. Physics of Fluids, 2005, 17(17):779-797.
[26]	ABRAHAMSON J. Collision rates of small particles in a vigorously turbulent fluid[J]. Chemical Engineering Science, 1975, 30(11):1371-1379.
[27]	ZAICHIK L I, SOLOVEV A L. Collision and coagulation nuclei under conditions of brownian and turbulent motion of aerosol particles[J]. High Temperature, 2002, 40(3):422-427.
[28]	章鹏飞, 米建春, 潘祖明. 装置元件排列间距和颗粒浓度对细颗粒湍流聚并的影响[J]. 中国电机工程学报, 2016, 36(6):1625-1632. ZHANG P F, MI J C, PAN Z M. Influences of elemental arrangement and particle concentration on fine particle amalgamation[J]. Proceedings of the CSEE, 2016, 36(6):1625-1632.

基于微分代数积分矩量法的聚并器超细颗粒聚团研究

Simulation of ultrafine particle aggregation in aggregation device by differential-algebraic quadrature method of moments

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献 28

相关文章 13

编辑推荐

Metrics

本文评价

[1]	石孝刚, 王成秀, 高金森, 蓝兴英. 提升管反应器介尺度结构影响规律的数值模拟研究[J]. 化工学报, 2022, 73(6): 2708-2721.
[2]	管小平, 杨宁. 基于介尺度稳定性条件的多相流曳力与群体平衡模型[J]. 化工学报, 2022, 73(6): 2427-2437.
[3]	牛犁, 刘梦溪, 王海北. 密相流化床中介尺度流动结构的流体力学特性研究[J]. 化工学报, 2022, 73(6): 2622-2635.
[4]	郑建祥, 李玉凯, 孙笑楠, 周怀春. 湍流聚团过程中非球形颗粒聚团碰撞频率分析研究[J]. 化工学报, 2019, 70(S2): 228-236.
[5]	辛亚男, 张建文, 张淑珍, 姜爱国. 螺旋内槽管内天然气-水-表面活性剂体系的水合物生成动力学计算[J]. 化工学报, 2018, 69(6): 2463-2473.
[6]	吴迎亚, 彭丽, 和宁宁, 高金森, 蓝兴英. 基于DEM模拟气固循环流化床提升管内颗粒聚团特性[J]. 化工学报, 2016, 67(8): 3321-3330.
[7]	孙伟, 刘小伟, 徐义书, 陈栋, 张宇, 崔江, 徐明厚. 两种改性高岭土减排超细颗粒物的对比分析[J]. 化工学报, 2016, 67(4): 1179-1185.
[8]	吕林英, 蓝兴英, 吴迎亚, 燕兰玲, 高金森, 徐春明. FCC提升管反应器中颗粒聚团对裂化反应的影响[J]. 化工学报, 2015, 66(8): 2920-2928.
[9]	丁程兵，陈迁乔，钟秦. 三种湍流模型下搅拌釜内气含率特性的模拟[J]. 化工进展, 2013, 32(11): 2569-2573.
[10]	李林，董勇，崔琳，张立强，马春元. 荷电水雾脱除超细颗粒物的研究进展 [J]. CIESC Journal, 2010, 29(6): 1143-.
[11]	齐国杰，董勇，崔琳，马春元. 超细颗粒物增湿团聚技术研究进展 [J]. CIESC Journal, 2009, 28(5): 745-.
[12]	赵永椿; 张军营; 魏凤; 陈俊; 郑楚光. 燃煤超细颗粒物团聚促进机制的实验研究 [J]. CIESC Journal, 2007, 58(11): 2876-2881.
[13]	赵永志;程易;金涌. 提升管与下行床颗粒团聚行为的离散颗粒模拟 [J]. CIESC Journal, 2007, 58(1): 44-53.