“Bubbly flow reconstruction using the Stochastic Estimation with an electrode array"

• Material Type: 文書・図像類
• Title: “Bubbly flow reconstruction using the Stochastic Estimation with an electrode array"
• Author/Editor: ZHOU, Wei; SUZUKI, Takao; NISHIUMI, Toyohiko; YAMAMOTO, Fujio
• Author Heading: ZHOU, Wei; SUZUKI, Takao; NISHIUMI, Toyohiko; YAMAMOTO, Fujio
• Publication, Distribution, etc.: IOP PUBLISHING LTD
• Publication Date: 2008-10
• Publication Date (W3CDTF): 2008-10
• Alternative Title: Reconstruction of gas-liquid flows using the Stochastic Estimation with a 16-channel electrode array
• Periodical title: Measurement Science and Technology
• No. or year of volume/issue: 19 10
• Volume: 19
• Issue: 10
• Pages: 105402-
• Text Language Code: eng
• Subject Heading: bubbly flow; micro-bubble method; void fraction measurement; electrical impedance; stochastic estimation; flow reconstruction; flow control
• Target Audience: 一般
• Note (General): Bubble-injection methods are considered to be a prospective approach to reduce skin-frictional drag for ships. To apply this technique for unsteady flows, we attempt to introduce a feedback loop of air injection in future applications. Hence, we wish to establish reduced order models of unsteady bubbly flows from the information at the bottom of the ship, but this must be achieved with a limited number of sensors in practice. This motivates us to develop a reconstruction technique that recovers instantaneous phase information of gas-liquid flows. This study introduces the so-called “Stochastic Estimation" and reconstructs bubble distribution based on electrical impedance. We simulate the flow at the bottom of a ship using a horizontal channel and install a 16-channel electrode array on the upper wall to acquire time-histories of electrical impedance. The relation between the bubble distribution and the electrical impedance is determined by simultaneous image measurement using a high-speed camera. Once the coefficients of the linear relation between the electrical impedance and the local void fraction are calculated, two-dimensional bubble distribution can be estimated only from voltages at the 16 electrodes. The proposed technique is examined over a range of void fractions and flow velocities, and the capabilities of the Stochastic Estimation applied to bubbly-flow reconstruction are demonstrated by comparing the reconstructed/predicted images with the original ones.
• Source: https://u-fukui.repo.nii.ac.jp/?action=repository_action_common_download&item_id=22399&item_no=1&attribute_id=22&file_no=1
• Access Restrictions: 限定公開
• Related Material (DOI): 10.1088/0957-0233/19/10/105402
• Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）; https://irdb.nii.ac.jp
• Original Data Provider (Database): 福井大学 : 福井大学学術機関リポジトリ