Identification of gas-liquid two-phase flow patterns in dust scrubber based on wavelet energy entropy and recurrence analysis characteristics

Wei, Tao; Li, Xiaochuan; Wang, Dongxue

doi:10.1016/j.ces.2020.115504

Cited by 19 publications

(4 citation statements)

References 22 publications

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“…The fitness function of optimization algorithm affects the optimization result directly. Entropy and kurtosis were chosen as the fitness in the existing study [40], which performance well in fault diagnosis. The envelope spectrum analysis [40][41][42] can effectively extract the anomalous frequencies in the signal, and envelope demodulation analysis based on the Hilbert transform is an effective method of amplitude modulation, which is as follows,…”

Section: Envelope Spectral Calculationmentioning

confidence: 99%

Liquid film characteristics measurement based on NIR in gas–liquid vertical annular upward flow

Zhao

Wang

Wang³

et al. 2022

Meas. Sci. Technol.

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Liquid film plays a crucial role in void fraction, friction pressure drops, the momentum and heat transfer in the two-phases flow. The film thickness measurement experiments of annular flow at four pressure conditions have been conducted by near infrared (NIR) sensor. The signal is processed by variational mode decomposition (VMD), of which parameters are optimized by sparrow search algorithm (SSA). Envelope spectrum and Pearson correlation coefficient (PCC) judgment criteria is adopted for signal reconstruction, and the value of liquid film thickness is obtained. The effect (Such as flow rate, pressure, entrainment, etc) of liquid film thickness are analyzed theoretically. The characterization parameters Weg”, Wel, Nμl and Xmod have been extracted and optimized, and then a new average liquid film thickness correlation is proposed. The laboratory results indicate that mean absolute percentage error (MAPE) of the predictive correlation is 4.35% (current data) and 12.02% (literatures’ data) respectively.

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Section: Envelope Spectral Calculationmentioning

confidence: 99%

Liquid film characteristics measurement based on NIR in gas–liquid vertical annular upward flow

Zhao

Wang

Wang³

et al. 2022

Meas. Sci. Technol.

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“…Under this circumstance, researchers investigated the particle capture performance in another gas–liquid flow state, bubble flow. Particles are trapped by the bubble while particles move to the gas–liquid interface due to the drag force, the inertial force, the Brownian force, and the thermophoresis force. − The bubble flow is inconsistent with the droplet flow, where there are no size limitations for the bubbles.…”

Section: Introductionmentioning

confidence: 99%

Improving Fine Particle Removal Using a Single-Channel Slit Bubbling Device in Wet Flue Gas Desulfurization System

Fang,

Xiao,

Qiu

et al. 2024

ACS Omega

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To improve the cleanliness of coal-fired power plants' particulate matter emissions, a novel device (single-channel slit bubbling particle removal device (SCSB-PRD)) is proposed to improve the wet flue gas desulfurization system's (WFGDs) collaborative particle removal effect. Actual coal-fired flue gas was used to test the particle removal performance. The results showed that the flue gas temperature had no obvious effect on the scrubbing effect of the SCSB-PRD. The scrubbing space, scrubbing liquid volume, and flue gas flow rate effectively changed the gas− liquid flow state, and the bubbling state was the key factor in particle removal. The jet-bubbling contact state was more conducive to removing particles than the foam bubbling state. The jet-bubbling state improved the removal efficiency of fine particles by approximately 30% compared to the foam bubbling state. The device operated in a single stage, and the removal performance of the particulate matter reached more than 60%. Even the submicron particles had a satisfactory removal performance of greater than 50%. The particulate matter concentration at the outlet of the WFGDs was reduced to less than 10 mg/m 3 , which provides a feasible transformation path for ultraultra-low emissions of particulate matter from coal-fired power plants.

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“…At the same time, the flow behaviors of oil bubbly flow are demonstrated with the experimental collected fluid conductance or pressure fluctuation signals. Time series analysis methods, including the joint time-frequency representation [8], wavelet analysis [9], recurrence plot [10], and complex network are [11] employed to reveal the bubbly flow evolutional dynamics [12], multi-scale features [13], and nonlinear characteristics [14].…”

Section: Introductionmentioning

confidence: 99%

Detecting non-uniform structures in oil-in-water bubbly flow experiments

Du,

Ren,

Min

et al. 2024

Physica A: Statistical Mechanics and its Applications

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Identification of gas-liquid two-phase flow patterns in dust scrubber based on wavelet energy entropy and recurrence analysis characteristics

Cited by 19 publications

References 22 publications

Liquid film characteristics measurement based on NIR in gas–liquid vertical annular upward flow

Liquid film characteristics measurement based on NIR in gas–liquid vertical annular upward flow

Improving Fine Particle Removal Using a Single-Channel Slit Bubbling Device in Wet Flue Gas Desulfurization System

Detecting non-uniform structures in oil-in-water bubbly flow experiments

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