基于递归分析的喷雾气固流化床团聚状态识别

doi:10.11949/j.issn.0438-1157.20180360

化工学报 ›› 2018, Vol. 69 ›› Issue (9): 3835-3842.DOI: 10.11949/j.issn.0438-1157.20180360

基于递归分析的喷雾气固流化床团聚状态识别

周云龙¹, 卢志叶¹, 王猛²

1. 东北电力大学能源与动力工程学院, 吉林省吉林市 132012;
2. 中交煤气热力研究设计院有限公司, 辽宁沈阳 110000

收稿日期:2018-04-03 修回日期:2018-05-09 出版日期:2018-09-05 发布日期:2018-09-05
通讯作者: 卢志叶
基金资助:
国家自然科学基金项目（51276033）。

Recursive analysis and agglomerate state recognition of spray gas-solid fluidized bed

Zhou Yunlong¹, Lu Zhiye¹, WANG Meng²

1. School of Energy and Power Engineering, Northeast Electric Power University, Jilin 132012, Jilin, China;
2. CCCC Gas & Heat Research and Design Institute Limited Company, Shenyang 110000, Liaoning, China

Received:2018-04-03 Revised:2018-05-09 Online:2018-09-05 Published:2018-09-05
Supported by:
supported by the National Natural Science Foundation of China (51276033).

摘要/Abstract

摘要：

液体会影响喷雾气固流化中的颗粒循环模式，形成不同程度的颗粒团聚物，从而直接降低反应器的传热、传质效果。实验中向流化床喷入不同黏度的乙二醇溶液，来人工制造团聚现象。研究结果表明，喷入不同黏度的液体后，流化床内会形成不同的团聚结构，按照团聚物大小可分为四类：微团聚、成核团聚、黏结团聚以及糊状团聚。通过对不同工况中的压差波动信号进行递归分析，发现不同团聚状态下的递归图纹理结构有着明显的差异。与此同时，对50种流动条件下的递归特征量分布情况进行分析，以此来识别不同的团聚结构，整体识别率高达96.39%。结果表明：通过对压差信号的递归分析可以快速识别流化床中的团聚状态。

关键词: 气固流化床, 团聚, 液体黏度, 递归分析

Abstract:

Liquid affects particle circulation in spray gas-solid fluidization by forming different extent of particle agglomerates and directly reduce heat and mass transfer of the reactor. Ethylene glycol solutions of various viscosities were sprayed onto fluidized bed to artificially create agglomerates. The results showed that liquids of different viscosities would form different agglomerates in fluidized bed, which can be divided into four groups by agglomerate size, including microaggregation, nucleation agglomerates, coherence agglomerates, and paste agglomerates. Recursive analysis of differential pressure fluctuation signal in flow process indicated some obvious differences in recursive pattern structure under different agglomeration conditions. Further analysis finding on distribution of recursive feature indices of 50 flow conditions was used to identify agglomeration structures which 96.39% overall recognition rate was achieved. Therefore, agglomerated state in fluidized bed was quickly identified by recursive analysis of differential pressure signal.

Key words: gas-solid fluidized bed, agglomeration, liquid viscosity, recursive analysis

中图分类号:

O359.2

周云龙, 卢志叶, 王猛. 基于递归分析的喷雾气固流化床团聚状态识别[J]. 化工学报, 2018, 69(9): 3835-3842.

Zhou Yunlong, Lu Zhiye, WANG Meng. Recursive analysis and agglomerate state recognition of spray gas-solid fluidized bed[J]. CIESC Journal, 2018, 69(9): 3835-3842.

参考文献 32

[1]	郭慕孙, 李洪钟. 流态化手册[M]. 北京:化学工业出版社, 2008:32. GUO M S, LI H Z. Handbook of Fluidization[M]. Beijing:Chemical Industry Press, 2008:32.
[2]	ZHOU Y, SHI Q, HUANG Z, et al. Effects of interparticle forces on fluidization characteristics in liquid-containing and high-temperature fluidized beds[J].Industrial & Engineering Chemistry Research, 2013, 52(47):16666-16674.
[3]	HIGMAN C, BURGT M. Gasification[M]. Jordan Hill:Gulf Professional Publishing, 2008:26.
[4]	MIRGAIN C, BRIENS C, POZO M D, et al. Modeling of feed vaporization in fluid catalytic cracking[J]. Industrial & Engineering Chemistry Research, 2000, 39(11):4392-4399.
[5]	ZHOU Y, WANG J, YANG Y, et al. Modeling of the temperature profile in an ethylene polymerization fluidized-bed reactor in condensed-mode operation[J]. Industrial & Engineering Chemistry Research, 2013, 52(12):4455-4464.
[6]	Wormsbecker M. Study of hydrodynamic behaviour in a conical fluidized bed dryer using pressure fluctuation analysis and X-ray densitometry[D]. Saskatoon:University of Saskatchewan, 2008.
[7]	DARAB P, POUGATCH K, SALCUDEAN M, et al. DEM investigations of fluidized beds in the presence of liquid coating[J]. Powder Technology, 2011, 214(3):365-374.
[8]	Seville J P K, Willett C D, Knight P C. Interparticle forces in fluidisation:a review[J]. Powder Technology, 2000, 113(3):261-268.
[9]	House P K, Mohammad S, Cedric L. et al. Injection of a liquid spray into a fluidized bed: particle-liquid mixing and impact on fluid coker yields[J]. Quantitative Biology, 2004, 245(2):230-237.
[10]	Iveson S M, Litster J D, Hapgood K, et al. Nucleation, growth and breakage phenomena in agitated wet granulation processes:a review[J]. Powder Technology, 2001, 117(12):3-39.
[11]	Zhou Y, Shi Q, Huang Z, et al. Effects of interparticle forces on fluidization characteristics in liquid-containing and high-temperature fluidized beds[J]. Industrial & Engineering Chemistry Research, 2013, 52(47):16666-16674.
[12]	Zhou Y, Ren C, Wang J, et al. Characterization on hydrodynamic behavior in liquid-containing gas-solid fluidized bed reactor[J]. AIChE Journal, 2013, 59(4):1056-1065.
[13]	Bi H, Zhu J. Static instability analysis of circulating fluidized beds and concept of high-density risers[J]. AIChE Journal, 1993, 39(8):1272-1280.
[14]	Maronga S J, Wnukowski P. The use of humidity and temperature profiles in optimizing the size of fluidized bed in a coating process[J]. Chemical Engineering & Processing Process Intensification, 1998, 37(5):423-432.
[15]	Tardos G I, Khan M I, Mort P R. Critical parameters and limiting conditions in binder granulation of fine powders[J]. Powder Technology, 1997, 94(3):245-258.
[16]	Iveson S M, Beathe J A, Page N W. The dynamic strength of partially saturated powder compacts:the effect of liquid properties[J]. Powder Technology, 2002, 127(2):149-161.
[17]	Mclaughlin L J, Rhodes M J. Prediction of fluidized bed behaviour in the presence of liquid bridges[J]. Powder Technology, 2001, 114(1):213-223.
[18]	Mcdougall S, Saberian M, Briens C, et al. Effect of liquid properties on the agglomerating tendency of a wet gas-solid fluidized bed[J]. Powder Technology, 2005, 149(23):61-67.
[19]	Becher R D, Schlunder E U. Fluidized bed granulation-the importance of a drying zone for the particle growth mechanism[J]. Chem. Eng. Process., 1998, 37(1):1-6.
[20]	Schaafsma S H, Vonk P, Segers P, et al. Description of agglomerate growth[J]. Powder Technology, 1998, 97(3):183-190.
[21]	Weber S, Briens C, Berruti F, et al. Agglomerate stability in fluidized beds of glass beads and silica sand[J]. Powder Technology, 2006, 165(3):115-127.
[22]	Weber S, Namkajorn M, Alizadeh A, et al. Condensed mode cooling for ethylene polymerization:the influence of inert condensing agent on the polymerization rate[J]. Macromolecular Chemistry and Physics, 2014, 215(9):873-878.
[23]	Weber S, Briens C, Berruti F, et al. Stability of agglomerates made from fluid coke at ambient temperature[J]. Powder Technology, 2011, 209(1):53-64.
[24]	Base T E, Chan E W, KENNETT R D. Nozzle for atomizing liquid in two phase flow:US6003789[P]. 1999-12-21.
[25]	刘新华, 高士秋, 李静海. 循环流化床中颗粒团聚物性质的PDPA测量[J]. 化工学报, 2004, 55(4):555-562. LIU X H, GAO S Q, LI J H. Characteristics of particle clusters in gas-solids circulating fluidized beds by using PDPA[J]. Journal of Chemical Industry & Engineering (China), 2004, 55(4):555-562.
[26]	任杰, 朱衡君. 时间序列分析和参数识别方法确定两相流流态[J]. 北京交通大学学报, 1998, 22(4):83-86. REN J, ZHU H J. Detecting two-phase flow by time series parametric modelling[J]. Journal of Beijing Jiaotong University, 1998, 22(4):83-86.
[27]	李晓祥, 石炎福, 黄卫星, 等. 快速流化床提升管中气固流动行为的非线性分析[J]. 化工学报, 2004, 55(2):182-188. LI X X, Shi Y F, Huang W X, et al. Nonlinear analysis of gas-solid flow behavior in fast fluidized bed riser[J]. Journal of Chemical Industry & Engineering (China), 2004, 55(2):182-188.
[28]	Eckmann J P, Kamphorst S O, Rucllc D. Recurrence plots of dynamical systems[J]. Euro Physics Letters, 1987, 5(9):973-977.
[29]	Zbilut J P, JR C L W. Embeddings and delays as derived from quantification of recurrence plots[J]. Physics Letters A, 1992, 171(4):199-203.
[30]	吴剑华, 禹言芳, 王宗勇, 等. 旋流静态混合器内瞬态压差波动信号递归特性[J]. 化工学报, 2011, 62(10):2845-2853. WU J H, YU Y F, WANG Z Y, et al. Recurrence characteristics of instantaneous pulsating pressure signals in static mixer with twisted-leaves[J]. CIESC Journal, 2011, 62(10):2845-2853.
[31]	冯晨, 姬光荣, 程军娜. 基于递归定量分析的实测海杂波中的小目标检测[J]. 中国海洋大学学报(自然科学版), 2014, 44(11):106-113. FEN C, JI G R, CHENG J N. Small target detection in the observed sea clutter based on recurrence quantification analysis[J]. Periodical of Ocean University of China, 2014, 44(11):106-113.
[32]	Bandt C, Groth A, Marwan N, et al. Analysis of Bivariate Coupling by Means of Recurrence[M]. Berlin:Springer, 2008:153.

基于递归分析的喷雾气固流化床团聚状态识别

Recursive analysis and agglomerate state recognition of spray gas-solid fluidized bed

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