The inhomogeneous MUSIG model for the simulation of polydispersed flows

Krepper, Eckhard; Lucas, Dirk; Frank, Thomas; Prasser, Horst-Michael; Zwart, Phil J.

doi:10.1016/j.nucengdes.2008.01.004

Cited by 236 publications

(117 citation statements)

References 14 publications

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“…Rzehak et al [459] compared various formulations applied to vertical bubbly flow in a pipe and concluded that the inclusion of this force into the model is fundamental. The virtual mass force arises from the relative acceleration of an immersed moving object to its surrounding fluid; this force is often found to be negligible in bubble column simulations [421,428,437,439,449,460], and different studies have neglected it [420,430,440,441,446,450,458,[461][462][463][464][465][466][467][468][469]. Recently, Ziegenhein et al [10] demonstrated that the virtual mass force has an influence on the prediction of the turbulence intensity at higher flow rates.…”

Section: The Eulerian Multi-fluid Approachmentioning

confidence: 99%

Two-Phase Bubble Columns: A Comprehensive Review

2018

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We present a comprehensive literature review on the two-phase bubble column; in this review we deeply analyze the flow regimes, the flow regime transitions, the local and global fluid dynamics parameters, and the mass transfer phenomena. First, we discuss the flow regimes, the flow regime transitions, the local and global fluid dynamics parameters, and the mass transfer. We also discuss how the operating parameters (i.e., pressure, temperature, and gas and liquid flow rates), the operating modes (i.e., the co-current, the counter-current and the batch modes), the liquid and gas phase properties, and the design parameters (i.e., gas sparger design, column diameter and aspect ratio) influence the flow regime transitions and the fluid dynamics parameters. Secondly, we present the experimental techniques for studying the global and local fluid dynamic properties. Finally, we present the modeling approaches to study the global and local bubble column fluid dynamics, and we outline the major issues to be solved in future studies.

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Section: The Eulerian Multi-fluid Approachmentioning

confidence: 99%

Two-Phase Bubble Columns: A Comprehensive Review

2018

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“…Moreover, two or three velocity classes can describe the main effects of the bubbly flow, as suggested in Ref. [50]. In the present investigation, to keep the numerical effort small, two bubble classes are considered.…”

Section: Turbulence Modelingmentioning

confidence: 99%

Annular Gap Bubble Column: Experimental Investigation and Computational Fluid Dynamics Modeling

Besagni

Guédon

Inzoli

2015

Journal of Fluids Engineering

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This paper investigates the countercurrent gas-liquid flow in an annular gap bubble column with a 0.24 m inner diameter by using experimental and numerical investigations. The two-phase flow is studied experimentally using flow visualizations, gas holdup measurements, and double fiber optical probes in the following range of operating conditions: superficial air velocities up to 0.23 m/s and superficial water velocities up to À0.11 m/s, corresponding to gas holdups up to 29%. The flow visualizations were used to observe the flow patterns and to obtain the bubble size distribution (BSD). The gas holdup measurements were used for investigating the flow regime transitions, and the double fiber optical probes were used to study the local flow phenomena. A computational fluid dynamics (CFD) Eulerian two-fluid modeling of the column operating in the bubbly flow regime is proposed using the commercial software ANSYS FLUENT. The three-dimensional (3D) transient simulations have been performed considering a set of nondrag forces and polydispersity. It is shown that the errors in the global holdup and in the local properties are below 7% and 16%, respectively, in the range considered.

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“…It is believed that much of this velocity/size sensitivity is due to swirl, thus making the full multiphase approach especially appropriate for the simulation of swirling sprays. It would be interesting to determine whether an inhomogeneous multiple size group model, such as that discussed by Krepper et al [31], could sufficiently capture the velocity/size sensitivity discussed above while reducing computational intensity. The full multiphase predictions presented herein should be valuable in answering this question.…”

Section: Low Flow Condition Simulation Resultsmentioning

confidence: 99%

Eulerian Multiphase Population Balance Model of Atomizing, Swirling Flows

Rayapati

Panchagnula

Peddieson

et al. 2011

International Journal of Spray and Combustion Dynamics

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An Eulerian/Eulerian multiphase flow model coupled with a population balance model is used as the basis for numerical simulation of atomization in swirling flows. The objective of this exercise is to develop a methodology capable of predicting the local point-wise drop size distribution in a spray, such as would be measured by the Phase Doppler Particle Analyzer (PDA). Model predictions are compared to experimental measurements of particle size distributions in an airblast atomizer spray to demonstrate good qualitative and quantitative agreement. It is observed that the dependence of velocity on drop size inherent in a multiphase description of the drop cloud appears necessary to capture some features of the experimental data. Using this model, we demonstrate the relative contributions of secondary atomization and transport to the variation observed in the downstream spray drop size distribution.

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The inhomogeneous MUSIG model for the simulation of polydispersed flows

Cited by 236 publications

References 14 publications

Two-Phase Bubble Columns: A Comprehensive Review

Two-Phase Bubble Columns: A Comprehensive Review

Annular Gap Bubble Column: Experimental Investigation and Computational Fluid Dynamics Modeling

Eulerian Multiphase Population Balance Model of Atomizing, Swirling Flows

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