氯碱电解槽内压力波动的混沌分析及流型识别

doi:10.11949/j.issn.0438-1157.20180914

化工学报 ›› 2019, Vol. 70 ›› Issue (S1): 35-44.DOI: 10.11949/j.issn.0438-1157.20180914

氯碱电解槽内压力波动的混沌分析及流型识别

张丽¹(),由钢¹,乔霄峰²,许光文^1,³,刘国桢⁴,刘云义¹()

1. 沈阳化工大学化学工程学院，辽宁沈阳 110142
2. 蓝星(北京)化工机械有限公司，北京 100176
3. 中国科学院过程工程研究所多相复杂系统国家重点实验室，北京 100190
4. 蓝星沈阳轻工机械设计研究所，辽宁沈阳 110015

收稿日期:2018-08-13 修回日期:2018-11-30 出版日期:2019-03-31 发布日期:2019-03-31
通讯作者: 刘云义
作者简介:<named-content content-type="corresp-name">张丽</named-content>（1975—）,女,博士,教授，<email>syhgxyzhangli@163.com</email>|刘云义（1960—）,男,博士,教授，<email>liuyunyia@163.com</email>
基金资助:
多相复杂系统国家重点实验室开放课题项目(MPCS2017D11);辽宁省自然科学基金项目(201602596);辽宁省博士科研启动基金项目(201601195);沈阳市科技计划项目(17-231-1-23)

Chaotic analysis of pressure fluctuation and identification of flow regime in chlor-alkali electrolyzer

Li ZHANG¹(),Gang YOU¹,Xiaofeng QIAO²,Guangwen XU^1,³,Guozhen LIU⁴,Yunyi LIU¹()

1. School of Chemical Engineering, Shenyang University of Chemical Technology, Shenyang 110142, Liaoning, China
2. Bluestar Beijing Chemical Machinery Corporation Limited，Beijing 100176，China
3. State Key Multi-phase Reaction Laboratory of Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
4. Bluestar Shenyang Research Institute of Light Industry Machinery, Shenyang 110015, Liaoning, China

Received:2018-08-13 Revised:2018-11-30 Online:2019-03-31 Published:2019-03-31
Contact: Yunyi LIU

摘要/Abstract

摘要：

为研究氯碱电解槽内气液两相流动的压力波动特性和流型特点，对冷模电解槽阳极室内循环板上开口处的压力信号进行了混沌特性分析；利用高速摄像仪照相法及Kolmogorov熵下降法对流动形态进行了识别，绘制了流型图；利用流型图对不同电流密度下的两相流型进行了判定。结果表明，电解槽压力信号的吸引子具有分数维数，当电流密度大于6 kA·m^-2时，Lyapunov指数大于0，说明电解槽内两相流动具有混沌特性；对于测压点位置及电解槽下部，当电流密度小于5 kA·m^-2时，分别为射流充分发展段和孤立气泡流；电流密度为5 ~ 8 kA·m^-2时为射流过渡段和合并气泡流；电流密度大于8 kA·m^-2时为射流的初始段和合并气泡流。

关键词: 氯碱工业, 电解, 化学反应器, 气液两相流, 压力信号, 混沌, 流型

Abstract:

In order to clarify the pressure fluctuation characteristics and flow patterns of the gas- liquid two-phase flow in the chlor-alkali electrolyzer, the pressure signals at the upper opening of the recirculation plate in the anode chamber of a cold-model electrolyzer were analyzed by using chaos method. The flow patterns were identified by the Kolmogorov entropy descending method and the pictures taken by a high-speed camera. The flow pattern maps were drawn. The flow patterns under different current densities were determined. The results show that, the attractors of pressure signal of electrolyzer have fractional dimension. The values of Lyapunov exponent are greater than 0 when the current density exceeds 6 kA·m^-2. These results demonstrate the gas-liquid two-phase flow in the electrolyzer has chaotic characteristics. For the position of the upper opening of the circulation plate and the lower section of the electrolyzer, the fully developed section of the jet flow and the isolated bubble flow appear when the current density is less than 5 kA·m^-2. The transition section of the jet flow and combined bubble flow appear when the current density is 5－8 kA·m^-2. The initial section of the jet flow and combined bubble flow appear when the current density is greater than 8 kA·m^-2.

Key words: chlor-alkali industry, electrolysis, chemical reactors, gas-liquid two-phase flow, pressure signal, chaos, flow pattern

中图分类号:

TQ 021.1

张丽, 由钢, 乔霄峰, 许光文, 刘国桢, 刘云义. 氯碱电解槽内压力波动的混沌分析及流型识别[J]. 化工学报, 2019, 70(S1): 35-44.

Li ZHANG, Gang YOU, Xiaofeng QIAO, Guangwen XU, Guozhen LIU, Yunyi LIU. Chaotic analysis of pressure fluctuation and identification of flow regime in chlor-alkali electrolyzer[J]. CIESC Journal, 2019, 70(S1): 35-44.

图/表 13

图1 氯碱电解槽阳极室冷模压力波动实验装置流程

Fig.1 Flow sheet of experimental setup for pressure fluctuation measurement in cold-model anode chamber of chlor-alkali electrolyzer

图2 气体进入方式

Fig.2 Pattern of gas inlet

图3 阳极室侧面图

Fig.3 Side view of anode chamber

图4 压力信号的时间序列

Fig.4 Pressure signal time series

图5 不同气液流量下的气泡照片

Fig.5 Photos of bubbles at different gas and liquid flow rates

图6 不同气液流量下的功率谱

Fig.6 Power spectra at different gas and liquid flow rates

图7 不同气液流量下压力信号的重构相空间

Fig.7 Reconstructed phase space of pressure signals under different gas and liquid flow rates

图8 压力信号时间序列关联维数的计算

Fig.8 Calculation of correlation dimension of pressure signals time series

图9 压力信号时间序列的关联维数与流型

Fig.9 Correlation dimension of time series of pressure signals and flow patterns

图10 压力信号时间序列的最大Lyapunov指数与流型

Fig.10 Maximum Lyapunov exponents of time series of pressure signals and flow patterns

图11 不同气液体流量下的Kolmogorov熵

Fig.11 Kolmogorov entropy at different gas and liquid flow rates

图12 电解槽内气液两相流型识别结果

Fig.12 Identification results of gas-liquid two-phase flow patterns in electrolytic cell

表1 不同电流密度下电解槽内气液两相流动状态

Table 1 Flow patterns in cell at different current density

I/(kA·m^-2)	Q_g /(L·min^-1)	Q_l /(ml·s^-1)	D	λ	K	ε/%	流动状态
I/(kA·m^-2)	Q_g /(L·min^-1)	Q_l /(ml·s^-1)	D	λ	K	ε/%	B点	C点
3.0	2.47	1.41	5.135	-0.0248	0.3166	3.05	充分发展段	孤立气泡流
4.0	3.29	1.88	4.735	-0.0432	0.4849	4.00	充分发展段	孤立气泡流
5.0	4.12	2.36	4.507	-0.0151	0.4676	4.70	过渡段	合并气泡流
6.0	4.95	2.83	4.288	0.0096	0.5703	5.75	过渡段	合并气泡流
7.0	5.77	3.31	4.169	0.0345	0.6373	6.83	过渡段	合并气泡流
8.0	6.60	3.78	4.169	0.0134	0.6183	7.98	过渡段	合并气泡流

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氯碱电解槽内压力波动的混沌分析及流型识别

Chaotic analysis of pressure fluctuation and identification of flow regime in chlor-alkali electrolyzer

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