Comparison of Standard k-ε Model and RSM on Three Dimensional Turbulent Flow in the SEN of Slab Continuous Caster Controlled by Slide Gate

Zhang, Xiaowei; Jin, Xianjian; Yin, Wenwu; Deng, Kang; Ren, Zhongming

doi:10.2355/isijinternational.51.581

Cited by 16 publications

(18 citation statements)

References 12 publications

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“…When the clockwise rotating flow becomes weak, counter-clockwise rotating flow towards to OR is often observed, in both the model, 34) and in a water model of this caster. 42) An influence of asymmetric inlet velocity on turbulent pipe flow is expected when the following condition holds 43) . (22) where L is pipe length, D is pipe diameter, and Re is Reynolds number (uDρ/μ).…”

Section: Nozzle Flowmentioning

confidence: 99%

Transient Fluid Flow during Steady Continuous Casting of Steel Slabs: Part I. Measurements and Modeling of Two-phase Flow

2014

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Unstable mold flow could induce surface velocity and level fluctuations, and entrain slag, leading to surface defects during continuous casting of steel. Both argon gas injection and Electro-Magnetic Braking (EMBr) greatly affect transient mold flow and stability. Part I of this two-part article investigates transient flow of steel and argon in the nozzle and mold during nominally steady-state casting using both plant measurements and computational modeling. Nail board dipping measurements are employed to quantify transient surface level, surface velocity, flow direction, and slag depth. Transient flow in the nozzle and strand is modeled using Large Eddy Simulation (LES) coupled with the Lagrangian Discrete Phase Model (DPM) for argon gas injection. The surface level of the molten steel fluctuates due to sloshing and shows greater fluctuations near the nozzle. The slag level fluctuates with time according to the lifting force of the molten steel motion below. Surface flow shows a classic double roll pattern with transient cross-flow between the Inside Radius (IR) and the Outside Radius (OR), and varies with fluctuations up to ~50% of the average velocity magnitude. The LES results suggest that these transient phenomena at the surface are induced by up-and-down jet wobbling caused by transient swirl in the slide-gate nozzle. The jet wobbling influences transient argon gas distribution and the location of jet impingement on the Narrow Face (NF), resulting in variations of surface level and velocity. A power-spectrum analysis of the predicted jet velocity revealed strong peaks at several characteristic frequencies from 0.5-2 Hz (0.5-2 sec).

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Section: Nozzle Flowmentioning

confidence: 99%

Transient Fluid Flow during Steady Continuous Casting of Steel Slabs: Part I. Measurements and Modeling of Two-phase Flow

2014

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“…To model the turbulent water annulus, they relied on two‐equation isotropic models: standard k‐ϵ ; and standard/SST k‐ω models. However, these models are not recommended for anisotropic turbulent flow or very rough surfaces, both of which are associated with CWAF . Finally, they generally did not compare their predicted pressure gradients with measured values.…”

Section: Introductionmentioning

confidence: 99%

A new approach to model friction losses in the water‐assisted pipeline transportation of heavy oil and bitumen

2019

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Continuous water-assisted flow (CWAF), where a water layer surrounds a viscous oil core, provides low energy, long distance transport of heavy oil and bitumen without requiring heating or solvent addition. In industrial applications of CWAF, the pipe wall is fouled by a thin coating of oil, an effect not considered in many studies of water-lubricated pipe flows. In the present study, a new method to model pressure loss in the water-assisted pipeline flow of heavy oil is introduced. The hydrodynamic effects produced by the wall-fouling layer are incorporated in the model as input parameters for CFD simulations. The most important of these parameters are the thickness of the wall-fouling layer and the equivalent hydrodynamic roughness it produces. The CFD methodology described here was developed on the ANSYS-CFX platform and is able to capture the effects of the wall-fouling layer, the hydrodynamic roughness produced by this layer, and the water hold-up. The new CFD model was validated using previously collected data from tests conducted in two separate pipeline loops (100 and 260 mm in diameter), using a range of oil viscosities, water fractions, and mixture velocities. Compared to existing models, the one presented here provides more accurate predictions and requires significantly fewer computing resources. Because the model was developed using a physics-based approach, it is a useful tool in evaluating the effects of pipe diameter, oil viscosity (or temperature), water cut, and mixture velocity on pressure losses in water-assisted heavy oil pipelines.

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“…Furthermore, steel flows in nozzles were also studied and compared by using of different turbulence models. [30][31][32][33][34][35] Some researchers also studied the inclusion behavior in a nozzle during casting. Wilson et al 14) investigated the steel flow characteristics in a nozzle and tracked the trajectories of inclusions.…”

Section: Introductionmentioning

confidence: 99%

Turbulent Flow Phenomena and Ce2O3 Behavior during a Steel Teeming Process

Jonsson

Ersson

et al. 2013

ISIJ Int.

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Steel flow phenomena and Ce2O3 inclusion behavior are presented in this paper. A three-dimensional model was developed to describe the steel flow phenomena and the inclusion behavior during a teeming process. The Kim-Chen modified k-ε turbulent model was used to simulate the turbulence properties and the Height-of-Liquid model was used to capture the interface between gas and steel. A Lagrangian method was then used to track the inclusions and to compare the behaviors of different-size inclusions in the steel flow. In addition, a statistical analysis was carried out by the use of a stochastic turbulence model to investigate the behaviors of different-size inclusions at different nozzle regions. The results show that the steel flow was the most turbulent at the connection region of the straight pipe part and the expanding part of the nozzle. All inclusions with a diameter smaller than 20 μ m were found to have a similar trajectory and velocity distribution in the nozzle. However, inertia force and buoyancy force were found to play an important role for the behaviors of large-size inclusions/clusters. The statistical analysis results indicate that the regions close to the connection region between different angled nozzle parts seem to be very sensitive with respect to deposition of inclusions.

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Comparison of Standard k-ε Model and RSM on Three Dimensional Turbulent Flow in the SEN of Slab Continuous Caster Controlled by Slide Gate

Cited by 16 publications

References 12 publications

Transient Fluid Flow during Steady Continuous Casting of Steel Slabs: Part I. Measurements and Modeling of Two-phase Flow

Transient Fluid Flow during Steady Continuous Casting of Steel Slabs: Part I. Measurements and Modeling of Two-phase Flow

A new approach to model friction losses in the water‐assisted pipeline transportation of heavy oil and bitumen

Turbulent Flow Phenomena and Ce2O3 Behavior during a Steel Teeming Process

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