Prediction of minimum fluidization velocity in pulsed gas–solid fluidized bed

Li, Yanjiao; Zhou, Chenyang; Lv, Guannan; Ren, Yongxin; Zhao, Yuemin; Liu, Qingxia; Rao, Zhonghao; Dong, Liang

doi:10.1016/j.cej.2020.127965

Cited by 12 publications

(5 citation statements)

References 30 publications

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“…Then, eq becomes For the formula of minimum fluidization velocity in the pulsed fluidized bed, Li et al proved that it is related to the pulsation frequency, and its prediction formula is …”

Section: Theoretical Analysis Of the Gas–solid Distribution Model Of ...mentioning

confidence: 99%

“…For the formula of minimum fluidization velocity in the pulsed fluidized bed, Li et al 32 proved that it is related to the pulsation frequency, and its prediction formula is For eq 14, previous literatures 33,34 have been collected to verify this model. As shown in Figure 2, the experimental value of the bubble diameter in the pulsed fluidized bed is smaller than the predicted value, which proves that the bubble diameter in the pulsed fluidized bed is smaller than the traditional bed, but the overall error is controlled within 20%, so eq 14 was still used to predict the bubble diameter of the pulsed fluidized bed.…”

Section: Theoretical Analysis Of the Gas−solid Distribution Model Of ...mentioning

confidence: 99%

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Gas–Solid Distribution Theory in a Pulsed Fluidized Bed Based on the Intermediate Phase

Zhou

Zhang

et al. 2021

Ind. Eng. Chem. Res.

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Fluidized bed technology is widely used in chemical industries. The introduction of pulsating energy into a traditional fluidized bed can effectively reduce the generation of bubbles and improve the fluidization quality. The accuracy of gas−solid distributions has a significant influence on the density control of fluidized beds. Here, a gas−solid distribution model and bed expansion prediction model were established with the wake taken as the intermediate phase to make up for the lack of a gas−solid distribution theory in a pulsed fluidized bed. The correlation coefficient of the theoretical model was validated using data obtained from collapse experiments. The linear fitting correlation between the bed expansion height H (p) and correction coefficient Y is quite good. The error of the modified model of the bed expansion ratio was found to be within 20%, which enables it to provide theoretical guidance for industrial applications of pulsed fluidized beds.

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Section: Theoretical Analysis Of the Gas–solid Distribution Model Of ...mentioning

confidence: 99%

Section: Theoretical Analysis Of the Gas−solid Distribution Model Of ...mentioning

confidence: 99%

Gas–Solid Distribution Theory in a Pulsed Fluidized Bed Based on the Intermediate Phase

Zhou

Zhang

et al. 2021

Ind. Eng. Chem. Res.

Self Cite

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“…The minimum fluidization velocity can be calculated by the following equation where d̅ b is the average bubble diameter, calculated according to eq …”

Section: Theoretical Analysis Of Bed Density Correlationmentioning

confidence: 99%

“…The key parameters involved in calculating bed density with eq 18, such as the minimum fluidization velocity u mf , bubble diameter d b ̅ , and phase distribution coefficient Y, were verified in our previous works, which are applicable to all pulsed fluidized beds. 10,29,33 4. RESULTS AND DISCUSSION 4.1.…”

Section: Theoretical Analysis Of Bed Densitymentioning

confidence: 99%

Prediction of Bed Density in a Pulsed Gas–Solid Fluidized Bed

Zhou

Yang

et al. 2021

Ind. Eng. Chem. Res.

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Pulsed fluidized beds can reduce bubble generation and improve coal separation accuracy. The reasonable regulation and prediction of bed density are essential to improve the separation accuracy. However, existing bed density correlations are not applicable to pulsed fluidized beds because the pulsating energy affects the behavior of particles and bubbles, and the wake is also a key factor affecting the bed density. This work proposed a novel method of predicting bed density combined with gas–solid distribution theory. When compared with experimental results, the error of this prediction correlation was less than 10%. The distribution characteristics and change trends of the bed density under different operating conditions were also analyzed. This work offers a theoretical foundation for effective separation of coal with pulsed gas–solid fluidized beds.

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“…This velocity depends on the particle diameter and bed porosity, among other factors [7]. There are many formulas for calculating the minimum fluidization velocity [8][9][10][11]. However, they have been developed for industries other than food production, so they do not take into account such properties of agricultural and food products as shape irregularity or adhesion forces.…”

Section: Introductionmentioning

confidence: 99%

Minimum Velocity of Impingement Fluidization for Parachute-Shaped Vegetables

2022

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Accurate calculation of the minimum fluidization velocity makes it possible to reduce raw material losses due to the use of excessively high or excessively low air velocities. This is particularly true for impingement fluidization, which is little studied, especially when treating parachute-shaped raw material. This paper focused on determining the drag coefficient for cauliflower florets, mushrooms, and broccoli. Analysis of the critical particle lift velocity showed that the lowest value of the drag coefficient was found for mushrooms (0.9). The parachute-shaped vegetables analyzed had a large scatter of drag coefficient values associated with their specific shape (standard deviation: mushrooms 0.10 broccoli 0.14, and for cauliflower 0.15). The measured mean values of the minimum fluidization velocity of the tested vegetables in the impingement fluidization method ranged from 6.9 m∙s−1 to 10.97 m∙s−1. Application of the procedure recommended by Shilton and Narajan for calculating the minimum fluidization velocity on the basis of the shape coefficient ε resulted in large discrepancies between the calculated and experimental values (from 2.4 m∙s−1 to 3.8 m∙s−1).

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Prediction of minimum fluidization velocity in pulsed gas–solid fluidized bed

Cited by 12 publications

References 30 publications

Gas–Solid Distribution Theory in a Pulsed Fluidized Bed Based on the Intermediate Phase

Gas–Solid Distribution Theory in a Pulsed Fluidized Bed Based on the Intermediate Phase

Prediction of Bed Density in a Pulsed Gas–Solid Fluidized Bed

Minimum Velocity of Impingement Fluidization for Parachute-Shaped Vegetables

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