密相气力输送中气固两相流动特性多源信息分析

doi:10.3969/j.issn.0438-1157.2012.10.010

化工学报 ›› 2012, Vol. 63 ›› Issue (10): 3070-3079.DOI: 10.3969/j.issn.0438-1157.2012.10.010

密相气力输送中气固两相流动特性多源信息分析

付飞飞, 许传龙, 王式民

东南大学能源与环境学院, 能源热转换及其过程测控教育部重点实验室(东南大学), 江苏南京 210096

收稿日期:2012-03-08 修回日期:2012-05-30 出版日期:2012-10-05 发布日期:2012-10-05
通讯作者: 许传龙
作者简介:许传龙,付飞飞(1985- ),女,博士研究生。
基金资助:
国家自然科学基金项目(50836003,50906012);国家重点基础研究发展计划项目(2010CB227002)。

Multi-sensors integration for flow characterization of dense phase pneumatic conveying of coal powder

FU Feifei, XU Chuanlong, WANG Shimin

Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, Jiangsu, China

Received:2012-03-08 Revised:2012-05-30 Online:2012-10-05 Published:2012-10-05
Supported by:
supported by the National Natural Science Foundation of China(50836003,50906012)and the National Basic Research Program of China(2010CB227002).

摘要/Abstract

摘要： 在加压密相气力输送煤粉实验装置上,结合静电、压力传感器与电容层析成像系统(ECT)3种方法,利用统计学和分形方法研究了不同操作条件(总输送压差、输送载气和煤粉含水率等)下密相气固两相流动力学行为。结果表明:输送载气为CO₂时,颗粒相微观运动剧烈程度随总输送压差(0.3~1 MPa)的增大而增大,气流和颗粒相之间的相互作用在总输送压差0.75 MPa下最强烈,但煤粉宏观整体的流动保持稳定;煤粉含水率增加对宏观流动稳定性没有影响,但水分增加使颗粒相的微观运动剧烈性减小;载气为N₂时,管道截面煤粉的平均浓度及分布变化明显,宏观流动状态不稳定,但颗粒相的微观运动剧烈程度与载气为CO₂时的变化规律一致。

关键词: 静电传感器, 电容层析成像, 气固两相流, 分形

Abstract: Multi-sensor integration including electrostatic sensor,pressure sensor and capacitance tomography system(ECT)were used to investigate the flow behavior of dense phase pneumatic conveying of coal powder under various operating conditions(transportation pressure difference,carrier gas and moisture content).Statistics and fractal method were applied to extracting the Hurst of electrostatic fluctuation signal and the variance of differential pressure signal.Experimental results showed that when CO₂ was used as carrier gas,the complexity of micro-movement of individual particle increased with increasing total transportation pressure difference and the interaction between gas and particles was more intensified under pressure difference of 0.75 MPa.However,the macro-motion state of the coal particles kept stable.The increase of coal moisture content resulted in higher complexity of micro-motion of individual particle,and yet had no influence on the stability of macro-motion state of the whole coal particles.When N₂ was used as carrier gas,coal average concentration over the cross section of the pipeline fluctuated obviously and the macro-motion state of the whole coal particles was unstable.But the micro- motion of individual coal particle was similar to that with carrier gas of CO₂.

Key words: electrostatic sensor, electrostatic capacitance tomography, gas-solids two-phase flow, fractal method

中图分类号:

TB934

付飞飞, 许传龙, 王式民. 密相气力输送中气固两相流动特性多源信息分析[J]. 化工学报, 2012, 63(10): 3070-3079.

FU Feifei, XU Chuanlong, WANG Shimin. Multi-sensors integration for flow characterization of dense phase pneumatic conveying of coal powder[J]. CIESC Journal, 2012, 63(10): 3070-3079.

参考文献 18

[1]	Fan L T,Neogi D,Yashima M,Nassar R.Stochastic analysis of a three-phase fluidized bed:fractal approach[J].AIChE Journal,1990,36(10):1529-1535
[2]	Zhao Guibing(赵贵兵),Yang Yongrong(阳永荣).Characteristics of multi-fractal of pressure signals in a bubbling fluidized bed[J].Journal of Chemical Engineering of Chinese Universities(高校化学工程学报),2003,17(6):468-653
[3]	Zhao Guibing,Yang Yongrong.Multiscale resolution of fluidized-bed pressure fluctuations[J].AIChE Journal,2003, 49(4):869-882
[4]	Franca F,Acikgoz M,Lahey R T,Clausse A.The use of fractal techniques for flow regime identification[J].Int.J.Multiphase Flow,1991,17(4):545-552
[5]	Drahos J,Bradka F,Puncochar M.Fractal behaviour of pressure fluctuations in a bubble column[J].Chemical Engineering Science,1992,47(15/16):4069-4075
[6]	Cabrejos F J,Klinzing G E.Characterization of dilute flows using the rescaled range analysis[J].Powder Technology,1995,84(2):139-156
[7]	Shuji Matsusaka,Hiroaki Masuda.Electrostatics of particles[J].Adv.Powder Technology,2003,14(2):169-179
[8]	Masaharu Nifuku,Hiromi Katoh.A study on the static electrification of powders during pneumatic transportation and the ignition of dust clouds[J].Powder Technology,2003,136/137:234-242
[9]	Hiroaki Masuda,Takahiro Komatsu,Naohiro Mitsui,Koichi Iinoya.Electrification of gas-solid suspensions flowing in steel and insulating-coated pipes[J].Journal of Electrostatics,1977,2(4):341-350
[10]	Xu Jian,Bao Xiaojun,Wei Weisheng,Shi Gang,Shen Shikong,Bi H T,Grace J R,Lim C J.Statistical and frequency analysis of pressure fluctuations in spouted beds[J].Powder Technology,2004,140:141-145
[11]	Bai D R,Bi H T,Grace J R.Chaotic behavior of fluidized beds based on pressure and voidage fluctuations[J].AIChE Journal,1997,43(5):1357-361
[12]	Ostrowski K,Luke S P,Bennet M A T,Williams R A.Real time visualization and analysis of dense phase powder conveying[J].Powder Technology,1999,102:1-13
[13]	Cong Xingliang,Guo Xiaolei,Gong Xin,Lu Haifeng,Dong Weibing.Experimental research of flow patterns and pressure signals in horizontal dense phase pneumatic conveying of pulverized coal[J].Powder Technology,2011,208:600-609
[14]	Xu Chuanlong,Wang Shimin,Tang Guanghua,Yang Daoye,Zhou Bin.Sensing characteristics of electrostatic inductive sensor for flow parameters measurement of pneumatically conveyed particles[J].Electrostatic,2007,65(9):582
[15]	Xu Chuanlong,Wang Shimin.HHT analysis of electrostatic fluctuation signals in dense-phase pneumatic conveying of pulverized coal at high pressure[J].Chemical Engineering Science,2010,65(4):1334-1344
[16]	Xu Xusong(徐绪松),Ma Lili(马莉莉),Chen Yanbin(陈彦斌).Theoretical basis of R/S analysis:fractional brownian motion[J].J.Wuhan Univ.:Nat.Sci.Ed.,(武汉大学学报:自然科学版),2004,50(5):547-550
[17]	Zhou Jiangang(周建刚),Wang Bingsheng(王炳生),Zhang Shu(张述),Wang Dongsheng(王东生).Experimental study on the dense-phase pneumatic conveying of pulverized coal out of a fluidized bed tank[J].Journal of Iron and Steel Research,1991,3(2):1-6
[18]	Li Jinghai,Tung Yuanki,Mooson Kwauk.Mathematical modeling of particle-fluid two-phase flow(Ⅰ):Multi-scale modeling and energy minimization[J].Engineering Chemistry and Metallurgy,1988,9(1):29-3

密相气力输送中气固两相流动特性多源信息分析

Multi-sensors integration for flow characterization of dense phase pneumatic conveying of coal powder

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献 18

相关文章 15

编辑推荐

Metrics

本文评价

[1]	刘道银, 陈柄岐, 张祖扬, 吴琰. 颗粒聚团结构对曳力特性影响的数值模拟[J]. 化工学报, 2023, 74(6): 2351-2362.
[2]	刘怡琳, 李钰, 余亚雄, 黄哲庆, 周强. 基于重置温度方法的双参数介尺度气固传热模型构建[J]. 化工学报, 2022, 73(6): 2612-2621.
[3]	张志敏, 丁雪兴, 张兰霞, 力宁, 司佳鑫. 浮环密封端面分形磨损预估模型及数值分析[J]. 化工学报, 2022, 73(12): 5526-5536.
[4]	朱华兴, 王景效, 许建良, 代正华, 刘海峰. 双出口分级气流床气化炉内颗粒速度和浓度分布[J]. 化工学报, 2022, 73(10): 4355-4365.
[5]	徐玲玲, 蒲亮. 基于热短路问题的仿生地埋管换热器模拟[J]. 化工学报, 2021, 72(S1): 134-139.
[6]	方黄峰, 刘瑶瑶, 张文彪. 基于LSTM神经网络的流化床干燥器内生物质颗粒湿度预测[J]. 化工学报, 2020, 71(S1): 307-314.
[7]	陈昭, 陈猛, 王江江, 常家兴, 刘马林. 非规则结构电容层析成像填补法测量的敏感场特性及重构算法改进[J]. 化工学报, 2020, 71(8): 3469-3479.
[8]	孙先亮, 李健, 韩哲哲, 许传龙. 基于数据驱动的卷积神经网络电容层析成像图像重建[J]. 化工学报, 2020, 71(5): 2004-2016.
[9]	耿庆庆,李瑞琦,杨茉. Hurst指数在判别火灾轰燃中的应用[J]. 化工学报, 2019, 70(S2): 369-375.
[10]	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.
[11]	徐国稳, 李坤, 蒋祎璠, 黄明骏, 房东旭, 蔡姗姗. 三类随机分形结构下干土壤有效热导率的介观研究[J]. 化工学报, 2019, 70(7): 2496-2502.
[12]	谢昭明, 邓容锐, 刘作华, 邓丽, 李千文, 张柱, 殷兆迁, 陶长元. 钠化焙烧转炉钒渣粉体分形生长的演化行为[J]. 化工学报, 2019, 70(5): 1904-1912.
[13]	林俊杰, 罗坤, 王帅, 胡陈枢, 樊建人. coarse-grained CFD-DEM方法在不同流态流化床中的模拟验证[J]. 化工学报, 2019, 70(5): 1702-1712.
[14]	蔡改贫, 宗路, 刘鑫, 罗小燕. 基于MEEMD-多尺度分形盒维数和ELM的球磨机负荷识别方法[J]. 化工学报, 2019, 70(2): 764-771.
[15]	吴渊默, 张守玉, 张华, 慕晨, 李昊, 宋晓冰, 吕俊复. 高温干燥对褐煤孔隙结构及水分复吸的影响[J]. 化工学报, 2019, 70(1): 199-206.