Prediction of Bubble Generation Based on Acoustic Emission

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• 作者：Li Chen ; Vinh Trinh ; William Yang ; Krishna Mohanangam
• 关键词：Bubble size distribution ; Bubble acoustics ; Bubble initial excitation ratio ; Bubbly plume
• 刊名：Acoustics Australia
• 出版年：2016
• 出版时间：August 2016
• 年：2016
• 卷：44
• 期：2
• 页码：325-331
• 全文大小：1,666 KB
• 刊物类别：Engineering Acoustics; Acoustics; Noise Control;
• 刊物主题：Engineering Acoustics; Acoustics; Noise Control;
• 出版者：Springer Singapore
• ISSN：1839-2571
• 卷排序：44

文摘

The noise associated with gas discharged from a submerged nozzle is of great interest to many industries because of its important applications. For example, it can be used to size bubbles and to detect gas flow rate. However, the physics associated with the acoustic emission due to bubble formation is complex, particularly when a large number of bubbles are involved, and has not been fully understood. In this study, the dynamics of the bubble formation from a submerged nozzle has been studied experimentally using the Particle Droplet Image Analysis technique. An improved model for prediction of the bubble generation rate and size distribution based on acoustic emission is presented. The experimental study is carried out in a large water tank, of dimensions 10 m \(\times \) 10 m \(\times \) 6 m, using multiple hydrophones. The water tank is carefully calibrated in order to provide free-field measurements. The predicted bubble generation rate and size distribution have been compared with the experimental data. It has been found that the predicted results are in good agreement with the experimental measurement, implying that an accurate prediction of acoustic emission associated with a bubbling plume from a submerged nozzle can be achieved by using the model.