In-situ online monitoring of ultrafiltration membrane fouling based on electrical impedance tomography

doi:10.11949/0438-1157.20211593

Abstract

Abstract:

Based on the in-situ visualization features of electrical impedance tomography (EIT), yeast and kaolin are used as model pollutants, the different fouling characteristics of ultrafiltration (UF) membranes were studied under different cross flow velocity, the flux, average voltage, EIT image and three-dimensional image reconstruction were obtained, and the correlation model between membrane flux and average voltage was established. The results show that the EIT can visually display the membrane fouling interface. The membrane fouling formed by the yeast presented a spatially uneven distribution, while the fouling formed by the kaolin was relatively uniform, and the fouling formed by the mixed solution lies between the two. The information about the thickness of the contamination layer was obtained from the reconstructed image of the EIT signal. The results showed that the contamination layer formed by yeast was the thickest, followed by the mixed solution of yeast and kaolin, and the thinnest contamination layer was the kaolin solution.

Key words: ultrafiltration (UF), membrane, fouling, tomography, cross flow velocity

摘要：

基于电阻抗成像（electrical impedance tomography，EIT）的原位可视化特征，以酵母与高岭土为模型污染物，在不同错流速度下对超滤（UF）膜不同的污染过滤特性进行了研究，得到通量变化、平均电压变化、EIT图像，进行了三维图像重建，并建立了膜通量与平均电压间的相关性模型。结果表明：EIT图可直观显示膜污染界面的变化情况，酵母溶液形成的膜污染呈现空间上的不均匀分布，而高岭土溶液形成的膜污染较为均匀，混合溶液形成的污染分布居于两者之间。通过EIT信号的重建图像得到了有关污染层厚度方面的信息，结果表明，酵母形成的污染层最厚，其次为酵母及高岭土混合溶液，污染层最薄的为高岭土溶液。

关键词: 超滤, 膜, 污染, 成像, 错流速度

CLC Number:

X 522

Min SUN, Hui JIA, Qingwen QIN, Qi WANG, Zinan GUO, Yanru LUO, Jie WANG. In-situ online monitoring of ultrafiltration membrane fouling based on electrical impedance tomography[J]. CIESC Journal, 2022, 73(4): 1754-1762.

孙敏, 贾辉, 秦卿雯, 王琦, 郭子楠, 罗艳茹, 王捷. 电阻抗成像原位在线监测超滤膜污染行为研究[J]. 化工学报, 2022, 73(4): 1754-1762.

Figures/Tables 8

Fig.1 Schematic diagram of experimental device(a) Schematic diagram of experimental device; (b) Exploded diagram of EIT evaluation pool; (c) The experimental device1—computer; 2—permeate tank; 3—electronic balance; 4—image processing system; 5—peristaltic pump; 6—pressure sensor; 7—paperless recorder; 8—evaluation pool; 9—data acquisition and processing unit; 10—peristaltic pump; 11—feed solution tank

Fig.2 Schematic diagram of the principle of EIT to monitor membrane fouling

Fig.3 Correlation between flux and average voltage

Fig.4 Specific flux, average voltage, EIT image chart changes of yeast solution (a), kaolin solution (b), yeast and kaolin mixture solution (c) with filtration time within 180 min

Fig.5 Three-dimensional surface diagrams of yeast solution, kaolin solution, yeast and kaolin mixture solution in different imaging sections within 180 min

Fig.6 The flux change, average voltage change and EIT image of the yeast solution at a cross-flow velocity of 0.1 m/s (a) and 0.2 m/s (b) within 180 min

Fig.7 The flux change, average voltage change and EIT image of the kaolin solution at a cross-flow velocity of 0.1 m/s (a) and 0.2 m/s (b) within 180 min

Fig.8 The flux change, average voltage change and EIT image of the yeast and kaolin mixed solution at a cross-flow velocity of 0.1 m/s (a) and 0.2 m/s (b) within 180 min

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