A fast EIT image reconstruction method for the two-phase flow visualization |
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| Affiliation: | 1. Hugot Sugar Technology Laboratory, Luiz de Queiroz College of Agriculture/University of São Paulo, Padua Dias Avenue, 11, Piracicaba, São Paulo, Brazil;2. Biological Science Department, Luiz de Queiroz College of Agriculture/University of São Paulo, Brazil;3. Thomson Mass Spectrometry Laboratory, Institute of Chemistry, University of Campinas, Campinas, São Paulo, Brazil;1. Engineering Research Center of the Ministry of Education for Bioconversion and Biopurification, Zhejiang University of Technology, Hangzhou,310032, PR China;2. College of Environment, Zhejiang University of Technology, Hangzhou 310032, PR China;1. Hugot Sugar Technology Laboratory, Luiz de Queiroz College of Agriculture/University of São Paulo, Av. Pádua Dias, 11, Piracicaba, São Paulo, Brazil;2. Thomson Mass Spectrometry Laboratory, Institute of Chemistry, University of Campinas, Campinas, São Paulo, Brazil;1. College of Material Science and Engineering, Northeast Forestry University, Harbin 150040, China;2. Key Laboratory of Forest Plant Ecology, Ministry of Education, Northeast Forestry University, Harbin 150040, China;3. Key Laboratory of Wood Science and Technology of Zhejiang Province, Zhejiang Agriculture and Forestry Unversity, Hangzhou Lin’an 311300, China |
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| Abstract: | A preliminary investigation is introduced to demonstrate the feasible potentials of the application of the EIT (Electrical Impedance Tomography) to visualize the bubble distribution in two-phase flow field. We expect the required experimental apparatus for the EIT bubble distribution measurement to be rather simple thus much cheaper than the other bubble motion monitoring devices like LDV (Laser Doppler Velocïmetry), PIV (Particle Image Velocimetry) and optical probes. At the present stage, however, the EIT visualization of the bubble distribution takes too long time to be implemented. In this paper, an adaptive mesh grouping method based on fuzzy-GA (Genetic Algorithm) is introduced to reduce the image reconstruction time significantly. Sample reconstructed images by the proposed method are presented with discussion for several ‘artificial’ bubble distributions. |
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