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A FAST EIT IMAGE RECONSTRUCTION METHOD FOR THE TWO-PHASE FLOW VISUALIZATION

机译:两相流可视化的快速EIT图像重建方法

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A preliminary investigation is introduce 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 Velocimetry),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.
机译:进行初步研究以证明应用EIT(电阻抗断层扫描)可视化两相流场中气泡分布的可行性。我们期望EIT气泡分布测量所需的实验设备非常简单,因此比其他气泡运动监控设备(如LDV(激光多普勒测速仪),PIV(颗粒图像测速仪)和光学探头)便宜得多。然而,在现阶段,实现气泡分布的EIT可视化还需要很长时间才能实现。本文提出了一种基于模糊GA(遗传算法)的自适应网格分组方法,以显着减少图像重建时间。通过讨论的几种人工气泡分布,讨论了通过该方法重构的样本图像。

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