On the assessment, implementation, validation, and verification of drag and lift forces in gas–liquid applications for the CFD codes FLUENT and CFX

Montoya, Gustavo; Sanyal, Jay; Braun, Markus; Azhar, Mohammed

doi:10.1007/s42757-019-0032-z

Cited by 16 publications

(5 citation statements)

References 13 publications

(14 reference statements)

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“…C D models the complex dependencies of shape, inclination and flow conditions on hydrodynamic bubbles/droplets (Montoya et al, 2019).…”

Section: 𝜕(𝛼mentioning

confidence: 99%

“…[34] In addition, the widely used Schiller and Naumann drag correlation only considers spherical particles and cannot correctly represent interface deformability force changes. [35] For oil and water interactions, lift was considered negligible due to the similar density and small oil droplet sizes, [12] but lift models such as the model by Frank et al [36] should be reviewed for their larger oil droplet implications. An alternative approach to better correlate CFD with experimental results would be to tune F B [25] encouraging easier oil break-up and diffusion.…”

Section: Two-phase (Oil and Water) Mixing Analysismentioning

confidence: 99%

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CFD evaluation of hydrophobic feedstock bench‐scale fermenters for efficient high agitation volumetric mass transfer

Marx,

Liu,

Yoon

et al. 2024

Biotechnology Journal

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A new biomanufacturing platform combining intracellular metabolic engineering of the oleaginous yeast Yarrowia lipolytica and extracellular bioreaction engineering provides efficient bioconversion of plant oils/animal fats into high‐value products. However, predicting the hydrodynamics and mass transfer parameters is difficult due to the high agitation and sparging required to create dispersed oil droplets in an aqueous medium for efficient yeast fermentation. In the current study, commercial computational fluid dynamic (CFD) solver Ansys CFX coupled with the MUSIG model first predicts two‐phase system (oil/water and air/water) mixing dynamics and their particle size distributions. Then, a three‐phase model (oil, air, and water) utilizing dispersed air bubbles and a polydispersed oil phase was implemented to explore fermenter mixing, gas dispersion efficiency, and volumetric mass transfer coefficient estimations (kLa). The study analyzed the effect of the impeller type, agitation speed, and power input on the tank's flow field and revealed that upward‐pumping pitched blade impellers (PBI) in the top two positions (compared to Rushton‐type) provided advantageous oil phase homogeneity and similar estimated kLa values with reduced power. These results show good agreement with the experimental mixing and kLa data.

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“…C D models the complex dependencies of shape, inclination and flow conditions on hydrodynamic bubbles/droplets (Montoya et al, 2019).…”

Section: 𝜕(𝛼mentioning

confidence: 99%

Section: Two-phase (Oil and Water) Mixing Analysismentioning

confidence: 99%

CFD evaluation of hydrophobic feedstock bench‐scale fermenters for efficient high agitation volumetric mass transfer

Marx,

Liu,

Yoon

et al. 2024

Biotechnology Journal

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“…The pressure difference between the inlet and the outlet can be calculated by intercepting the simulation results on the central axis. Then substitute pressure difference into equation (11) to obtain the resistance coefficient of the branch pipe. Fig.…”

Section: Fig 4 Mesh-independence Studymentioning

confidence: 99%

“…Nowadays, many buildings apply fluid dynamics to the exhaust flow calculation of domestic range hoods and perform parametric modeling to easily modify the parameters [10] . CFD and Fluent software are often used to simulate and verify turbulence models [11] . For instance, Li A. et al [12] used computational fluid dynamics to analyze the static pressure and velocity distribution of the central exhaust system.…”

Section: Introductionmentioning

confidence: 99%

Centralized exhaust system simulation and parameter optimization

Lu,

Miao,

Zhang

et al. 2024

Preprint

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With the enhancement of people's awareness of environmental protection and the improvement of environmental quality requirements, it is necessary to evaluate the effect of kitchen smoke exhaust on the environment. We introduced the structural definition of the parameters involved in the centralized exhaust flue and the range hood model in the centralized flue exhaust system. The iterative function calculation flow of the smoke output is clarified and the convergence of the iterative function was verified. To ensure the accuracy of parameters in the control equation which include the combined resistance coefficient of the pipeline's inner wall, we used CFD to solve resistance coefficients in the flue model of this smoke exhaust system. This solution was later verified experimentally. We deployed C# language for parametric programming, which allowed us to accommodate changes in different conditions. These include the number or height of layers, flue size, hood model, branch pipe length and type, valve angle, check valve type, and operating rate, among others. The results show that different pipe structures and smoke exhaust conditions are represented as a whole by parameters, which can be quickly calculated and displayed visually visualization program of flow changes in various layers inside the centralized exhaust flue. Lastly, we utilized the model to simulate a scenario, following which we evaluated the impact of the centralized exhaust flue in that scenario. The results of this study can guide the modeling of centralized flue systems and the evaluation of the effect of the exhaust pipe.

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“…The drag force plays an important role in the fluid dynamics of the flow in the axial direction. This force depends significantly on the way the particle is being modeled (Montoya, 2019).…”

Section: Drag Modelsmentioning

confidence: 99%

CFD Simulation of Sand Content Influence in Oil Production Pipelines

Moura

Barros

Neto

et al. 2023

BJPG

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The presence of sand close to hydrocarbons in production is most often harmful to well productivity. This also leads to undesired problems in surface devices and equipment, as well as obstructions in the production column and, consequently, decreasing fluid flow production and causing severe economic losses to the field. The objective of this work is to study the influence of sand content in production pipelines through simulation using computational fluid dynamics tools ICEM CFD and ANSYS CFX 19.0- student version in vertical, directional and horizontal well scenarios, with variations of parameters such as the saturation of the fluids present in the system and the type of oil being produced. The results obtained indicate some impacts of excessive sand production in oil wells, such as a decrease in productivity in more than 20% for the case with 10% sand content in the pipeline, and a decrease in productivity in more than 39% for the case with 20% sand content in the pipe. In addition, the increase in head loss for lifting fluids was observed.

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On the assessment, implementation, validation, and verification of drag and lift forces in gas–liquid applications for the CFD codes FLUENT and CFX

Cited by 16 publications

References 13 publications

CFD evaluation of hydrophobic feedstock bench‐scale fermenters for efficient high agitation volumetric mass transfer

CFD evaluation of hydrophobic feedstock bench‐scale fermenters for efficient high agitation volumetric mass transfer

Centralized exhaust system simulation and parameter optimization

CFD Simulation of Sand Content Influence in Oil Production Pipelines

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