Bubble growth obtained from pressure fluctuation in vibration separation fluidized bed using wavelet analysis

Zhang, Yadong; Zhang, Xiangyu; Zhao, Yuemin; Lv, Guannan; Yang, Xuliang; Wang, Ziming; Chen, Duan; Dong, Liang

doi:10.1016/j.apt.2020.06.018

Cited by 12 publications

(5 citation statements)

References 41 publications

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“…The used vibration conditions in MFM simulations are the same as in experiments, while the superficial gas velocity used in MFM simulations is 0.97 U mf,l . In both experiments and MFM simulations, the used conditions can excite both the light and heavy particles into a fluid‐like state, while preventing the formation of gas bubbles in the bed, as shown in Figure 3C from MFM simulations, because the use of vibration reduces the U mf of fluidized particles 31,32 and suppresses bubbling in fluidized beds 31,33 . Figure 3A shows that for a small initial droplet with a side length of 1 cm, the droplet descends vertically without splitting.…”

Section: Resultsmentioning

confidence: 99%

Multifluid model simulations of gravitational instabilities in fluidized binary granular materials

et al. 2022

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Predicting granular flow using continuum approaches is fundamental to advance granular physics and industrial applications. Previous studies have demonstrated that continuum modeling can capture some hydrodynamic instability analogs in monodisperse granular materials. Recently, a family of gravitational instabilities was found between two types of grains, including a Rayleigh-Taylor analog, a granular bubble rising, a granular droplet splitting and particle segregation. The high packing fraction and bi-disperse nature of these flows allow for new challenges to continuum models.Herein, we applied multifluid modeling (MFM) that treats the gas phase and two separate granular phases as fully interpenetrating continua to simulate these instabilities and compared them with newly conducted experiments. Simulation results reproduced all of the four instabilities and demonstrated that frictional particle stress and solids-solids drag are needed to capture critical qualitative flow features. This study can serve as a basis for challenging future particle stress and solids-solids drag models.

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Section: Resultsmentioning

confidence: 99%

Multifluid model simulations of gravitational instabilities in fluidized binary granular materials

et al. 2022

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“…It is the number of times that a time-series pressure signal crosses its average value per second − where N c is the number of times the signal crosses its average value and t is the time length. Since the dominant frequency of the bubble bed is between 0 and 10 Hz, the high-frequency part of the pressure signal is filtered out by a high-pass filter before processing the pressure signal. − …”

Section: Experimental Descriptionmentioning

confidence: 99%

Gas-Particle Flows in a Two-Stage Integrated Bubbling-Transport Fluidized Bed for CO₂ Capture

Bao

et al. 2022

Ind. Eng. Chem. Res.

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Integrated bubbling-transport fluidized bed is a potential reactor for CO 2 capture with solid sorbents. The gasparticle flows in the reactor greatly influence the capture efficiency. This paper studied the gas-particle flow behaviors in this reactor, focusing on the particle circulation and gas entrainment. The results show that the particle circulation rate is mainly limited by the particle-returning capacity of loop seals. Both the particle circulation rate and the gas entrainment rate increase with the total static bed height, fluidization velocity, and central gas velocity. The particle circulation rate is the most sensitive to the fluidization velocity, whereas the gas entrainment rate is the most sensitive to the total static bed height. When keeping the total static bed height constant, the particle circulation rate and the gas entrainment rate increase with the bed height of stage II. Synthesizing the above analysis, fine sorbents are recommended when applying this reactor for CO 2 capture with solid sorbents.

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“…The time series could be observed as a discrete result obtained by sampling a continuous-time system. Furthermore, the hidden information of the observed time series could be extracted and explored by the following methods including frequency domain analysis, [17] wavelet analysis, [18] and chaos analysis. [19] Chaos, which is an important development of nonlinear time series analysis, has been widely found in biology, [20,21] medicine, [22] finance, [23] industrial, [24,25] and other research areas.…”

Section: Introductionmentioning

confidence: 99%

Dynamic chaos of imaging measurements for characterizing gas–liquid nonlinear flow behaviour in a metallurgical reactor stirred by top‐blown air

Yang,

Zhang,

Yang

et al. 2023

Can J Chem Eng

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A modern chaos detection strategy for imaging measurements is proposed in this work to quantify the thermal mixing state quality in a metallurgical reactor stirred by top‐blown air. Specifically, the improved C‐C algorithm is proposed to reconstruct the phase space of the nonlinear time series of the bubble characteristics under thermal conditions. Moreover, a chaos decision tree algorithm is introduced to extract the chaotic mixing characteristics of the thermal two‐phase mixing system for the first time. Experimental and calculated results show that all the possible mixing states of the mixing system are visualized by reconstructing the phase space with the help of the visualization technique of the thermal gas–liquid two‐phase flow. It is found that the attractor of the nonlinear time series of bubbles exhibited more serious variations while the chosen working condition was optimal. Furthermore, the obtained parameter represents the chaotic characteristics of the thermal gas–liquid two‐phase mixing system which has chaotic characteristics under various experimental conditions. Hence, the new strategy would be helpful and effective in beneficial exploration for understanding the nonlinear intensification mechanism of metallurgical thermal processes.

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Bubble growth obtained from pressure fluctuation in vibration separation fluidized bed using wavelet analysis

Cited by 12 publications

References 41 publications

Multifluid model simulations of gravitational instabilities in fluidized binary granular materials

Multifluid model simulations of gravitational instabilities in fluidized binary granular materials

Gas-Particle Flows in a Two-Stage Integrated Bubbling-Transport Fluidized Bed for CO₂ Capture

Dynamic chaos of imaging measurements for characterizing gas–liquid nonlinear flow behaviour in a metallurgical reactor stirred by top‐blown air

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Bubble growth obtained from pressure fluctuation in vibration separation fluidized bed using wavelet analysis

Cited by 12 publications

References 41 publications

Multifluid model simulations of gravitational instabilities in fluidized binary granular materials

Multifluid model simulations of gravitational instabilities in fluidized binary granular materials

Gas-Particle Flows in a Two-Stage Integrated Bubbling-Transport Fluidized Bed for CO2 Capture

Dynamic chaos of imaging measurements for characterizing gas–liquid nonlinear flow behaviour in a metallurgical reactor stirred by top‐blown air

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Gas-Particle Flows in a Two-Stage Integrated Bubbling-Transport Fluidized Bed for CO₂ Capture