Particle image velocimetry investigations on multiphase flow in fluidized beds: A review

Neogi, Ajita; Mohanta, Hare Krishna; Sande, Priya C.

doi:10.1016/j.flowmeasinst.2023.102309

Cited by 15 publications

(2 citation statements)

References 104 publications

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“…When the air velocity of the upper and lower outlet vents is uneven, with the air in front of the outlet producing an upward or downward deviation, certain areas may experience excessive air impact while others may be less affected [9,10]. This can result in inconsistent sizes, shapes, and drying levels of the granules during the granulation process.…”

Section: Analysis Of Factors Affecting Uniformitymentioning

confidence: 99%

Performance Analysis of Boiling Drying Granulator Cutting Spraying Assisted Wind Field

Qiao,

Sha,

Meng

et al. 2023

J. Phys.: Conf. Ser.

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Through computational fluid dynamics (CFD) analysis, the research focused on the influence of fish-scale hole structure and porosity on the airflow uniformity within a cutting and spraying form fluidized bed drying granulator. By optimizing the airflow distribution through simulation calculations, the overall performance of the granulator was improved, leading to enhanced drying efficiency and reduced energy consumption. Furthermore, a comprehensive understanding of the complex airflow patterns and turbulence characteristics within the granulator was gained, facilitating the identification of factors impacting airflow uniformity, such as the structural design and opening rates of the fish-scale hole structure. This knowledge contributed to the development of effective process control and optimization strategies. The research findings demonstrated that the best internal airflow uniformity was achieved when the fish-scale holes had a width of 21mm, a hole height of 3mm, and an overall porosity of 8.4%, or a width of 24mm, a hole height of 2.5mm, and an overall porosity of 8.0%. These results provide guidance for achieving better product outcomes in industrial applications.

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Section: Analysis Of Factors Affecting Uniformitymentioning

confidence: 99%

Performance Analysis of Boiling Drying Granulator Cutting Spraying Assisted Wind Field

Qiao,

Sha,

Meng

et al. 2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

“…With the help of advanced instruments, the voidage, velocity, and solid holdup were measured. In liquid–solid fluidized beds, for example, the electrolyte tracer technique was employed to investigate the axial and radial mixing behaviors of the liquid phase; the radioactive particle tracking technique was applied to measure the solid flow pattern and mixing behaviors; the conductivity probe technique was used for measuring the local solid holdups; and the particle image velocimetry (PIV), as a nonintrusive technique, was employed to determine the particle velocity. , These reported experimental data gave a comprehensive understanding of the mechanism of liquid–solid fluidization. Based on these experimental data, many empirical equations of the voidage and pressure drop were proposed. − However, experiments were usually expensive and time-consuming, especially to obtain a complete experimental data set.…”

Section: Introductionmentioning

confidence: 99%

Customized Software Package for the Simultaneous Prediction of Multiple Fluidization Characteristic Parameters in Liquid–Solid Fluidized Beds

He,

Lei,

Xie

2024

Ind. Eng. Chem. Res.

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In liquid−solid fluidized beds, there are many parameters that need to be determined for their optimization design. This study develops four machine learning models for the simultaneous prediction of the bed expansion ratio, voidage, and drag coefficient in liquid−solid fluidized beds. The Ridge regression model, K-nearest neighbor model, support vector regression, and XGBoost model are trained and tested based on the liquid−solid fluidization experimental data set. The methods of grid-search and nested cross-validation are employed for hyperparameter tuning. It is found that the XGBoost model is the best-performing model. The results of 5-fold cross-validation and Leave-One-Out confirm that there is no overfitting problem. The voidage, drag coefficient, and bed expansion ratio are all accurately predicted, and the average R 2 is 0.992, 0.976, and 0.974, respectively. Furthermore, the method of principal component analysis is employed to analyze the high-dimensional fluidization data, and the feature importance of each principal component is obtained. For convenience in use, a customized software package is developed by Python language. The software has a good graphical interface function and supports user-defined models, which can be trained using users' own data set and customized model parameters. The software is expected to benefit the preliminary design of fluidized beds.

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Hydraulic performance of bottom intake velocity caps using PIV and OpenFOAM methods

Hajebi,

Firozjaei,

Naeeni

et al. 2024

Appl Water Sci

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The objective of this investigation is to obtain a more profound understanding of the effective parameters of the velocity caps for bottom intake systems, utilizing particle image velocimetry (PIV) and OpenFOAM. Observations indicate a higher probability of surface vortex formation in square types compared to circular ones, with the vortex being formed downstream of the caps. Additionally, the flow pattern reveals that the flow whirls in a more favorable path into the circular caps as opposed to the square ones. Through both experimental and numerical comparisons of three shapes (rhombus, square, and circle), it becomes evident that the circular type outperforms the other types in terms of discharges through the intake, showing an improvement of about 8%. The results indicate that flow depth and height of the velocity caps are positively effective parameters for the flow rate, with respective influences of 90% and 30%. In contrast, the interaction between the flow and caps intensifies with an increase in the distance of the intake opening from the bed, which plays a negative influence on the flow rate. Enhancing the number of blades in caps proves to be the optimal approach for generating a smoother flow with minimal impact on the flow rate. Numerical simulations show a 50% reduction in cap height leads to a significant 33% decrease in flow rate. Additionally, rotating the square cap by 45° into a rhombus aligned with the flow direction results in a 7% discharge flow rate increase.

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Particle image velocimetry investigations on multiphase flow in fluidized beds: A review

Cited by 15 publications

References 104 publications

Performance Analysis of Boiling Drying Granulator Cutting Spraying Assisted Wind Field

Performance Analysis of Boiling Drying Granulator Cutting Spraying Assisted Wind Field

Customized Software Package for the Simultaneous Prediction of Multiple Fluidization Characteristic Parameters in Liquid–Solid Fluidized Beds

Hydraulic performance of bottom intake velocity caps using PIV and OpenFOAM methods

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