| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 154374 | Chemical Engineering Science | 2016 | 14 Pages |
•This article focus on gas–liquid two-phase flow patterns of the dust scrubber.•PDD, wavelet analysis, and PSD used to analyze gas–liquid two-phase flow.•Gas pressure PDD can reflect macroscopic property of gas–liquid flow fluctuations.•The 91.18–92.30% wavelet energy in the frequency band from 0 to 32 Hz.•Gas–liquid flow pattern can identified by the different of the PSD curves.
Self-excited dust scrubbers are widely used in the purification of a high dust concentration. However, the existing research has been primarily focused on the macroscopic performance of the dust scrubbers and has neglected the gas–liquid two-phase flow patterns that are closely related to its dust collection principle. This paper employed high-speed photography technology to acquire video images of liquid-phase patterns and employed high-frequency acquisition technology to acquire the corresponding dynamic pressure signals of the gas-phase of the self-excited dust scrubber. Using the probability density distribution (PDD), wavelet analysis, and power spectral density (PSD) estimation, in combination with the dynamic image analysis of the gas–liquid two-phase flow, a quantitative study of the gas–liquid two-phase flow patterns of self-excited dust scrubbers was conducted. This study provides strong supporting data to overcome the bottleneck that limits theoretical studies on self-excited dust scrubbers.
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