Numerical simulation of the gas–liquid flow in a laboratory scale bubble column

Díaz, Margarita; Iranzo, Alfredo; Cuadra, Daniel; Barbero, Rubén; Montes, Francisco Javier Alejo; Galán, Miguel Á.

doi:10.1016/j.cej.2007.08.015

Cited by 147 publications

(88 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…[413,431]). In this respect, the multi-phase equivalent of the standard k-ε model is widely used [413][414][415]428,[432][433][434][435]. Comparisons between the k-ε model and LES simulations have shown that similar performances are obtained in terms of average quantities; conversely, more accurate fluctuating quantities are achievable through LES [436][437][438][439], owing to the isotropic turbulence hypothesis of the k-ε model.…”

Section: The Eulerian Multi-fluid Approachmentioning

confidence: 69%

“…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%

“…In the latter approach, the gas phase is subdivided into different bubble size classes along with a single ("homogeneous population balance model") or multiple ("inhomogeneous population balance model") gas velocity fields, depending on the desired level of distinction between small and large bubbles [465]. Homogeneous population balance models have been applied to bubble column simulations and upward bubbly flows by several authors [428,433,440,441,[461][462][463]466,475,483]. On the other hand, Krishna et al [484] introduced one of the first uses of two velocity groups to distinguish the dynamics of small and large bubbles.…”

Section: The Eulerian Multi-fluid Approachmentioning

confidence: 99%

“…Large eddy simulations (LES, [425]) of bubbly flows require a mesh size within both a higher and a lower bound in order to get a proper filter cut-off [426,427]. Conversely, RANS (Reynolds-averaged Navier-Stokes) simulations are less restrictive on the mesh size [10,414,420,[428][429][430]. Besides the numerical aspects, proper turbulence modeling is important for the accuracy of the simulations; multi-phase turbulence models are derived from their single-phase equivalents and terms modeling inter-phase interactions are added to the transport equations of the turbulence model (see refs.…”

Section: The Eulerian Multi-fluid Approachmentioning

confidence: 99%

See 3 more Smart Citations

Two-Phase Bubble Columns: A Comprehensive Review

2018

View full text Add to dashboard Cite

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.

show abstract

Section: The Eulerian Multi-fluid Approachmentioning

confidence: 69%

Section: The Eulerian Multi-fluid Approachmentioning

confidence: 99%

Section: The Eulerian Multi-fluid Approachmentioning

confidence: 99%

Section: The Eulerian Multi-fluid Approachmentioning

confidence: 99%

See 2 more Smart Citations

Two-Phase Bubble Columns: A Comprehensive Review

2018

View full text Add to dashboard Cite

show abstract

“…A good deal of research has been done in this subject in the past 20 years, with 2 numerical methods as possible solutions to address the argon injection phenomena; namely Euler-Euler approach and Euler-Lagrangian approach. [32][33][34][35][36][37] The Euler-Euler approach implies the tracking of two different sets of equations, one for the continuum phase (steel in this case) and one for the dispersed phase (argon). The phases are solved as non-interpenetrating, immiscible media with their own material properties (density, viscosity, thermal conductivity, etc.…”

Section: Modelling Argon Injection Through the Dpm+vof Approachmentioning

confidence: 99%

Recent Developments of a Numerical Model for Continuous Casting of Steel: Model Theory, Setup and Comparison to Physical Modelling with Liquid Metal

López¹,

Jalali²,

Björkvall³

et al. 2014

ISIJ Int.

View full text Add to dashboard Cite

Recent developments of an advanced numerical model for Continuous Casting of steel unveiled at the previous 2010 CSSCR Conference in Sapporo, Japan are presented. These include coupling of the existing multiphase, heat transfer and solidification model to argon injection for tracking bubble trajectories in the SEN, metal bulk and across the slag bed after passing through the metal surface. Hence, description of a method for adding gas injection in combination with a multiphase model for tracking metal/slag interfaces (Discrete Phase Model + Volume Of Fluid, DPM+VOF) is given.Validation is supported by tests on a revamped Continuous Casting Simulator (CCS-1) based on a low melting point alloy, which can realistically replicate the flow conditions in the caster. Metal-slag-argon flow predictions were compared to observations in the physical model showing good agreement on features such as discharging jets, rolls, standing waves and argon distribution measured through a variety of techniques such as ultrasound, electromagnetic probes and video sequences. Ultimately, the model makes possible the prediction of stable or unstable flows within the mould as a function of different argon flow-rates and bubble sizes. Application to industrial practice is an ongoing task and preliminary results are illustrated. The robustness of the model combined with direct observations in CCS-1 make possible the description of phenomena difficult to observe in the caster (e.g. argon injection and metal flow), but critical for the stability of the process and the quality of cast products.

show abstract

Multiphase flow and mixing in dilute bubble swarms

Radl

Khinast

2010

AIChE Journal

View full text Add to dashboard Cite

in Wiley Online Library (wileyonlinelibrary.com).High-fidelity three-dimensional (3-D) simulations of multiphase flow and mixing in dilute bubble swarms were performed using the Euler-Lagrange simulation approach. Included was species transport, as well as complex chemical reactions in the simulations. It was found that the algebraic SGS model satisfactory predicts experimental data for the mean flow field. A detailed description of multiphase flow was used and developed to simulate the time evolution of scalar and reactive mixing in a bubble column. An analysis involving the scale of segregation U, a metric that characterizes the mean driving force for mixing, is applied for the first time to multiphase flow. The study shows that U is inversely proportional to the bubble diameter at constant gas-feed rate, but only a weak function of the gas-feed rate. Also, we observed significant differences of mixing metrics in reactive and nonreactive systems. V V C 2010 American Institute of Chemical Engineers AIChE J, 56: 2421AIChE J, 56: -2445AIChE J, 56: , 2010

show abstract

Numerical simulation of the gas–liquid flow in a laboratory scale bubble column

Cited by 147 publications

References 48 publications

Two-Phase Bubble Columns: A Comprehensive Review

Two-Phase Bubble Columns: A Comprehensive Review

Recent Developments of a Numerical Model for Continuous Casting of Steel: Model Theory, Setup and Comparison to Physical Modelling with Liquid Metal

Multiphase flow and mixing in dilute bubble swarms

Contact Info

Product

Resources

About