Computational modeling of bubbly flows in differential pressure flow meters

Paladino, Emilio E.; Maliska, Clóvis R.

doi:10.1016/j.flowmeasinst.2011.04.002

Cited by 11 publications

(5 citation statements)

References 31 publications

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“…The virtual mass and pressure gradient forces are most significant when the density of the particle is similar or less than the fluid density [42,47,48]. The virtual mass represents the acceleration of the fluid as it occupies the empty space that a moving particle leaves behind, resulting in a virtual increase in particle mass [42,47]. As shown in Table 2, fluid density is larger than particle density.…”

Section: The Transport Equationsmentioning

confidence: 99%

“…As shown in Table 2, fluid density is larger than particle density. The virtual increase of the particle mass, i.e., the part of the fluid with higher density, needs to be accelerated up to the particle velocity, which, on the other hand, requires an increase in the pressure gradient to accelerate the whole mixture [47]. The virtual mass and pressure gradient terms could be calculated using Equations ( 13)- (15) [42,48]:…”

Section: The Transport Equationsmentioning

confidence: 99%

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A Computational Fluid Dynamics Study on Physical Refining of Steel Melts by Filtration

Akbarnejad

Sheng

Jönsson

2023

Metals

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In this paper, a previous experimental investigation on physical refining of steel melts by filtration was numerically studied. To be specific, the filtration of non-metallic alumina inclusions, in the size range of 1–100 µm, was stimulated from steel melt using a square-celled monolithic alumina filter. Computational fluid dynamics (CFD) studies, including simulations of both fluid flow and particle tracing using the one-way coupling method, were conducted. The CFD predicted results for particles in the size range of ≤5 µm were compared to the published experimental data. The modeled filtration setup could capture 100% of the particles larger than 50 µm. The percentage of the filtered particles decreased from 98% to 0% in the particle size range from 50 µm to 1 µm.

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Section: The Transport Equationsmentioning

confidence: 99%

Section: The Transport Equationsmentioning

confidence: 99%

A Computational Fluid Dynamics Study on Physical Refining of Steel Melts by Filtration

Akbarnejad

Sheng

Jönsson

2023

Metals

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“…As an alternative approach, the nonlinear dynamic finite element method has become a useful complementary method for flow field simulation. − This method has the advantages of (i) conveniently achieving single-factor control and (ii) minimizing uncertainties caused by human errors . Thus, a large amount of research studies have been carried out for numerical simulating the polymer dispersion and dissolution system. ,− At present, simulation research studies are concentrated to determine the hydrodynamics of bubbly flow of a gas–liquid ejector within Venturi tubes − and scrubbers . In this paper, first, the water–polymer powder premixing by Venturi water jet and the conventional air-mixing were simulated.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Polymer Dispersion Systems for Polymer Injection on Offshore Platforms

Wang

et al. 2020

ACS Omega

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Because of the limited space and high cost of offshore platforms, the dispersion and dissolution of the polymer are required to be of high efficiency, which is essential for polymer injection to enhance hydrocarbon recovery. The numerical simulation models of the water–powder mixing process by Venturi jetting and air-mixing were established. The multiphase flow fields in the water jet ejector, water–powder mixing head, and stirring tank were numerically simulated by FLUENT. Then, the distributions of velocity, volume fraction, pressure, and turbulent kinetic energy of each phase were obtained to evaluate the effects of polymer dispersion and the dissolution of the two mixing methods. According to the maximum velocity of the mixture at the Venturi jet, the optimized length of the throat is 25 mm in our models. The results of the air-mixing process show that a 120° angle of support rods has the best effect of water–powder mixing. The results of the present study show that compared with air-mixing, the combination of Venturi jet and the stirring tank can obtain a broader agitation range and more extensive effect on the flow field, which could uniformly disperse the polymer powder into water. This study has a guiding significance for the design of the onsite polymer injection process.

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“…One example of such analysis is given in [7], where the static flow properties of the cone have been evaluated using CFD. Numerical modeling of bubble flow in differential pressure flow meters has been performed in [8]. Flow in a horizontal WGM with a cone has been simulated in [9].…”

Section: Introductionmentioning

confidence: 99%

Fluid Mechanical Aspects of Wet Gas Metering

et al. 2012

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Current trends in hydrocarbon production are driven by improved oilfield management with various control and optimization strategies. These strategies rely on the efficiency of monitoring equipment which is used to obtain real-time oil and gas production rates with sufficient spatial and temporal resolution. Consequently considerable efforts have been put in the development of reliable flow measurement techniques dedicated to real-time monitoring of hydrocarbon flow rates without separation of the phases.Multiphase metering at an upper limit of gas volume fraction (mostly above 95% GVF) is referred to as wet gas metering. Usually the metering of a wet gas flow is performed using standard dry gas meters which are supplemented by additional corrections in order to account for the impact of a liquid phase. These correction algorithms use explicit information on the measured fractions of oil, water and gas and can either be based on empirical correlations or employ mechanistic flow models. In contrast, issues related to installation effects of various components (such as pressure/temperature gauges and ad-hoc sensors) cannot usually be handled using simple flow models and should be assessed using extensive experimental analysis.As a general solution, more fundamental physical background is put into the design and development of a new generation of a wet gas meter. The usage of general flow models both on micro and macro scales reduces uncertainty relevant to empirical modelling and promises more robust flow metering performance. In this work, the issues related to the optimal salinity sensor location have been studied via computational fluid dynamics. In particular, different variants of sensor placement scenarios have been analyzed in order to identify the location, which will have the maximum water volume fraction to achieve as high sensitivity as possible.

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Computational modeling of bubbly flows in differential pressure flow meters

Cited by 11 publications

References 31 publications

A Computational Fluid Dynamics Study on Physical Refining of Steel Melts by Filtration

A Computational Fluid Dynamics Study on Physical Refining of Steel Melts by Filtration

Numerical Simulation of Polymer Dispersion Systems for Polymer Injection on Offshore Platforms

Fluid Mechanical Aspects of Wet Gas Metering

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