Numerical simulation of solid-liquid mixing characteristics in a stirred tank with fractal impellers

Gu, Deyin; Cheng, Chao Chia; Liu, Zuohua; Wang, Yundong

doi:10.1016/j.apt.2019.06.028

Cited by 33 publications

(13 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Such works notably include a series of papers published by Tamburini and colleagues between 2009 and 2019 [27][28][29][30][31][32], determining suitable turbulence [28] and drag [23,30] models for such systems at relatively low solids concentrations, and the 2016 work of Wadnerkar et al [33], which explored solids loadings up to 40 wt %. There exist two main approaches to the numerical modeling of solid-liquid two-phase systems: the ''pure-CFD'' or Euler-Euler approach, in which both solid and liquid phases are modeled as continua (see, e.g., [34][35][36]) and the Euler-Lagrange or ''point-particle'' approach, wherein the solid phase is instead modeled as discrete particles, using a modeling approach such as the coupled computational fluid dynamics and discrete element method (CFD-DEM) approach (see, e.g., [37,38]).…”

Section: A Brief Review Of Prior Workmentioning

confidence: 99%

Positron Emission Particle Tracking for Liquid‐Solid Mixing in Stirred Tanks

et al. 2020

View full text Add to dashboard Cite

Mixing in stirred tanks is vital to a wide range of industrial processes, typically requiring solids to be fully suspended and evenly distributed. The quality of suspension and mixing is typically measured visually. Such measurements are thus subject to human interpretation and can only feasibly be conducted in transparent systems – an uncommon condition in industrial systems. Visual measurements of homogeneity must also infer full 3D distributions of particles solely from the observation of a limited section thereof. This work details methods by which a system's homogeneity and state of suspension may be measured and quantified with no human interpretation, which can extract information from opaque systems and consider full 3D data acquired throughout the interior of a given system.

show abstract

Section: A Brief Review Of Prior Workmentioning

confidence: 99%

Positron Emission Particle Tracking for Liquid‐Solid Mixing in Stirred Tanks

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Micheli et al (2015) conclude that in the case of spray mixture tanks, the efficiency of the homogenization of the mixture inside the tank has a great impact on the quality of the application and the treatment of a crop and can be hampered by the introduction of anti-sloshing devices. On the other hand, Pukkella et al (2019) and Gu et al (2019) studied experimentally and numerically mixing in stirred tanks for the process industry. In this type of tank, the effectiveness of mixing is typically improved through baffles and fractal impellers.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Reduction of the Sloshing Phenomena Due To Sudden Movement of Spray Mixture Tanker

Micheli

Fogal

Scalon

et al. 2022

JAFM

View full text Add to dashboard Cite

The sloshing phenomenon occurs in partially filled tankers due to sudden movement can affect the tank structure integrity and impair the dynamic stability of the tanker. The effects of sloshing phenomena in a spray mixture tank due to acceleration or deceleration of the agricultural vehicle is investigated under three filling levels of 25%, 50%, and 75%. The pressure time distributions on the tank wall were evaluated by using a multiphase transient model (water and air as an ideal gas) and a free surface flow in a homogeneous model. It was possible to verify the wave behavior of sloshing. The condition of 75% tank filling volume generated the highest pressure on the tank wall. The effectiveness of two types of vertical baffles in suppressing pressure was numerically investigated. Shear stress on the tank bottom wall under these proposed arrangements was analyzed by steady-state models and mechanical agitation, considering a filled tank. The proposed solution based on two partial vertical baffles and a central gap was the most effective. It promotes the higher reduction of wall impact pressure and other sloshing instabilities and maintains similar results of mixture agitation of the tank without baffles.

show abstract

“…These previous studies have used a multi-scale turbulence grid to generate high-intensity turbulence. The generation of turbulence by means of these multi-scale turbulence grids may also be used to enhance the mixing of heat and mass [18][19][20][21][22][23][24]. The turbulence generated by this type of turbulence grid has also been studied numerically.…”

Section: Introductionmentioning

confidence: 99%

Numerical visualisation on applying a five-stage multi-scaled square turbulence-generating grid to generating turbulence

Suzuki

2022

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

This study presents the numerical visualisation of turbulence generated by a five-stage square-type multi-scale turbulence grid. The present study applies a turbulence grid with an increased number of stages to five, in contrast to previous studies using multi-scale turbulence grids with four stages. For the present numerical visualisation, direct numerical analysis is used in this analysis. This analysis uses the high-order central difference schemes and the third-order Runge-Kutta scheme. In addition to the multi-scale turbulence grid with five stages, the present study also covers two turbulence grids with four stages for reference. By using the external force term in the governing equations, the present multi-scale turbulence grids were formed numerically in the computational domain. The spatial homogeneity of the downstream turbulence field is approached in this work. The turbulence generated by the turbulence grids with four stages is characterised by a flow structure with a doughnut-like instantaneous velocity figure in the downstream region. By examining contour diagrams of the streamwise instantaneous velocity, the present study can see that the spatial homogeneity of the turbulence field downstream is improved by increasing the number of stages for the turbulence grid.

show abstract

Numerical simulation of solid-liquid mixing characteristics in a stirred tank with fractal impellers

Cited by 33 publications

References 26 publications

Positron Emission Particle Tracking for Liquid‐Solid Mixing in Stirred Tanks

Positron Emission Particle Tracking for Liquid‐Solid Mixing in Stirred Tanks

Analysis and Reduction of the Sloshing Phenomena Due To Sudden Movement of Spray Mixture Tanker

Numerical visualisation on applying a five-stage multi-scaled square turbulence-generating grid to generating turbulence

Contact Info

Product

Resources

About