Numerical simulation of multiphase flow in bubble column reactors. Influence of bubble coalescence and break-up

Olmos, Éric; Gentric, Caroline; Vial, Christophe; Wild, Gabriel; Midoux, N.

doi:10.1016/s0009-2509(01)00204-4

Cited by 177 publications

(125 citation statements)

References 19 publications

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“…In fact, those influences are mainly imposed via bubble size, which can be considered as mono-dispersed (work performed at IFPEN) bi-dispersed (work performed at the University of Amsterdam) or poly-dispersed . However, to develop and implement coalescence and breakup complex models, such as those described by Olmos et al (2001) and Sanyal et al (2005), further information is required. Indeed, such models use closure laws, or kernels, based on theoretical approaches, as given by Luo H. and Svendsen (1996), for example, or on experiments, which are rather scarce for high void fraction bubbly turbulent flows.…”

Section: Case Of Bubble Columns For Fischer-tropsch Process Developmentmentioning

confidence: 99%

CFD Applied to Process Development in the Oil and Gas Industry – A Review

Raynal

Augier

Bazer-Bachi

et al. 2015

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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-Computational Fluid Dynamics (CFD) is increasingly used in the oil and gas industry. The present article aims to show how CFD can be used at all steps of the development of a new process, with a focus on refining technologies. Those different steps consist first of setting up tools that will be used during the development phase, second of obtaining data in complement with experiments required for the process development, and finally, of troubleshooting actions or technology developments that will make the process even more efficient. A large number of applications corresponding to various flow configurations, single-phase or gas-liquid, gas-solid or even gas-liquid-solid, characterised by significantly different scales and requiring adapted simulation approaches, are discussed based on original results and a review of the literature. Perspectives are given in particular on the multi-scale approach and physical phenomena coupling.Résumé -La simulation numérique des écoulements appliquée au développement de procédés dans le monde de l'industrie du pétrole et du gaz -une revue -La simulation numérique des écoulements, ou Computational Fluid Dynamics (CFD), est un outil de plus en plus employé dans les secteurs pétrolier et gazier. Cet article permet d'illustrer comment l'outil numérique est utilisé lors des différents stades de développement d'un nouveau procédé, en particulier dans le monde du raffinage. Ces différentes phases correspondent tout d'abord à la mise au point des équipements qui seront utilisés pour le développement, puis au complément des essais lors de la phase de développement proprement dite et enfin à des actions support pour la résolution de problèmes opératoires ou l'amélioration de technologies qui permettront d'optimiser le procédé. De nombreuses applications correspondant à différents types d'écoulements, monophasique ou gaz-liquide, gazsolide et gaz-liquide-solide, caractérisées par des échelles de résolution différentes et requérant des approches de simulations adaptées sont discutées sur la base de résultats originaux et d'une revue de travaux déjà publiés. Des perspectives sont aussi données tant sur les aspects approche multi-échelles que sur le couplage de phénomènes.

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Section: Case Of Bubble Columns For Fischer-tropsch Process Developmentmentioning

confidence: 99%

CFD Applied to Process Development in the Oil and Gas Industry – A Review

Raynal

Augier

Bazer-Bachi

et al. 2015

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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“…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.

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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.

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“…Thus, two more studies are examined: the first example has been taken from the study by [24] for high dissipation rate values, and the latter one has been taken from the study of Olmos and his colleagues [37] for low values of dissipation rate.…”

Section: Validation Problemsmentioning

confidence: 99%

“…The experimental and numerical results from the study by [37] and the results of our numerical calculations are compared. The comparisons show that our calculations overestimate the Figure 8: Comparison between experimental and calculated results by [37] and this study.…”

Section: Validation Problemsmentioning

confidence: 99%