Experimental investigation of dilute turbulent particulate flow inside a curved <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si27.gif" display="inline" overflow="scroll"><mml:mn>90</mml:mn><mml:mo>°</mml:mo></mml:math> bend

Yang, William; Kuan, Benny

doi:10.1016/j.ces.2006.01.013

Cited by 47 publications

(42 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…6 In contrast, the mean streamwise gas velocities based on both the Reynolds stress and k-e turbulence models gave a good qualitative representation of measured profiles, depending on the inlet conditions used, although Kuan et al 7 overpredicted the mean gas velocity at the concave wall, in comparison to the data of Yang and Kuan. 8 Although these authors predicted mean fluid quantities using a Reynolds stress turbulence model, the stochastic method of Gosman and Ioannides 9 was used to model particle dispersion. The latter approach assumes isotropic, homogeneous turbulence, with the characteristic eddy velocity subsequently calculated from the kinetic energy of the turbulence.…”

Section: Applied Twomentioning

confidence: 99%

Prediction of turbulent gas‐solid flow in a duct with a 90° bend using an Eulerian‐Lagrangian approach

Njobuenwu

Fairweather

2011

AIChE Journal

View full text Add to dashboard Cite

in Wiley Online Library (wileyonlinelibrary.com).A dilute, particle-laden turbulent flow in a square cross-sectioned duct with a 90 bend is modeled using a three-dimensional Eulerian-Lagrangian approach. Predictions are based on a second-moment turbulence closure, with particles simulated using a Lagrangian particle tracking technique, coupled to a particle-wall interaction algorithm and a random Fourier series method used to model particle dispersion. The performance of the model is tested for a gas-solid flow in a horizontal-to-vertical duct, with predictions showing good agreement with experimental data. In particular, the consistent use of anisotropic and fully three-dimensional approaches throughout yields predictions that result in fluctuating particle velocities in acceptable agreement with data.

show abstract

Section: Applied Twomentioning

confidence: 99%

Prediction of turbulent gas‐solid flow in a duct with a 90° bend using an Eulerian‐Lagrangian approach

Njobuenwu

Fairweather

2011

AIChE Journal

View full text Add to dashboard Cite

show abstract

“…All LDA experimental measurements inside the right angled sharp 90° elbow were conducted in an open-circuit horizontal-to-vertical suction wind tunnel system located at CSIRO Process Science and Engineering. Simulation and Analysis is based on this experimental setup and detailed description of this set-up was given by Yang and Kuan (2006) 1 . The 150×150 (mm 2 ) square test section was constructed using 10mm thick Perspex, and consisted of a 3.5m-long horizontal straight duct, a right-angled sharp 90° elbow, and a 1.8m-long vertical straight duct.…”

Section: Methodsmentioning

confidence: 99%

Analysis of Turbulent Flow over a 90° Bend of Duct Using In Centralized A. C. Plant by CFD Code

Didwania¹,

Singh²,

Malik³

et al. 2014

IOSRJMCE

View full text Add to dashboard Cite

“…In their study, due to considerable positive slip velocity between the two phases significant gas-solid separation was detected near the outer wall of the duct. They also found the velocity fluctuations in the solid phase was higher than that of the gas phase at the bend entrance [12]. Sowjanya Vijiapurapu and Jie Cui studied the fullydeveloped turbulent flows in circular pipes roughened by repeated square ribs with various spacing.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Turbulent Flow Characteristics by Utilizing k-ϵ Turbulence Model.

Hossain¹,

Hossain²,

Pramanik³

et al. 2017

EJERS

View full text Add to dashboard Cite

This study attempts to illustrate the behavior of a fully developed turbulent flow by using k-ε turbulence model. A two dimensional smooth bend channel is adopted for this experiment and water was chosen as working fluid. The Reynolds number was gradually increased to predict the diversity in turbulent kinetic energy (TKE), turbulent dissipation rate, turbulent intensity and eddy viscosity. Primarily the flow has been solved by employing three distinct k-ϵ turbulence models namely, Standard, Renormalization-group (RNG) and Realizable model. After experimenting with ten different sample (from 74E03 to 298E03) of Reynolds numbers, each of these analyses explicitly showed that Standard k-ε model gives much higher value of any aforementioned turbulent properties with respect to other two equation turbulence models. Later it’s been discovered that TKE obtained from Standard k-ω model is almost same as Realizable k-ε model (for Re=298E03, the difference is about 1.8%). It has been observed that the skin friction coefficient at the bend region obtained from different two equation models (Standard, Realizable and RNG k-ϵ model and Standard k-ω model) are almost similar to each other for each sample of Reynolds number. Quadrilateral elements were taken into consideration for grid generation in this analysis. Also, to decrease cost and to achieve further accuracy as well as reduced time consumption mapped faced meshing was utilized.

show abstract

Experimental investigation of dilute turbulent particulate flow inside a curved 90° bend

Cited by 47 publications

References 12 publications

Prediction of turbulent gas‐solid flow in a duct with a 90° bend using an Eulerian‐Lagrangian approach

Prediction of turbulent gas‐solid flow in a duct with a 90° bend using an Eulerian‐Lagrangian approach

Analysis of Turbulent Flow over a 90° Bend of Duct Using In Centralized A. C. Plant by CFD Code

Analyzing the Turbulent Flow Characteristics by Utilizing k-ϵ Turbulence Model.

Contact Info

Product

Resources

About