Study of gas–liquid two-phase flow patterns of self-excited dust scrubbers

• 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.

Figure optionsDownload high-quality image (282 K)Download as PowerPoint slide