CFD simulation and experimental validation studies on hydrocyclone

Bhaskar, K.; Murthy, Y. Rama; Raju, M Ravi; Tiwari, Sumit; Srivastava, J. N.; Ramakrishnan, N.

doi:10.1016/j.mineng.2006.04.012

Cited by 165 publications

(80 citation statements)

References 19 publications

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“…Bhaskar et al [15] found for throughput and water split in the cyclone that the simulated results, using the RNG k -e model, match with the experimental results with an error of 8 to 15 pct. Due to the fact that the RSM model [17] solves the transport equation for each individual Reynolds stress, it enables one to model anisotropic turbulence and strained flow with a much better precision, namely with an error of 4 to 8 pct, [15] for the swirling flow. Finally, the increased computational power allows one to apply the large eddy simulations for the problems, where large turbulent structures have to be predicted with high accuracy.…”

Section: Formulation Of the Problemmentioning

confidence: 76%

“…[15] B. Particle Behavior Figures 7(a) through (e) demonstrate five particle trajectories for both types of cyclone considered in the present article, operating at 0.01 m/s (Figures 7(a) and (b)) and 1 m/s (Figures 7(c) through (e)).…”

Section: A Flow Patternmentioning

confidence: 94%

“…Many attempts have been made to investigate turbulence models for the flow pattern in a hydrocyclone. Bhaskar et al [15] have compared the experimental and simulation results generated using different turbulent models, such as k -e, RNG k -e, and RSM. In the k -e model, it is assumed that turbulence is isotropic and only one scalar-velocity fluctuation is modeled.…”

Section: Formulation Of the Problemmentioning

confidence: 99%

See 2 more Smart Citations

Numerical Evaluation of Cyclone Application for Impurities Removal from Molten Aluminum

Turchin¹,

Eskin²,

Katgerman

2008

Metall Mater Trans B

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The purification of gaseous and liquid media by means of a cyclone concept is well known and has been successfully applied in different industries. While the impurities removal from molten metal has been an important issue for many years, to the best of our knowledge, the application of a cyclone concept has rarely been considered for molten metal applications. The presence of impurities in cast products is detrimental to their quality. In this article, computer simulations are used to evaluate the possibilities of cyclone application in molten aluminum processing by determining the following: the fluid flow for flow velocities of 0.01, 0.1, and 1 m/s; the particle behavior for discrete particle sizes in the range of 20 to 100 lm; and the collection efficiency of the cyclone. The geometrical features are discussed. The results show that the cyclone concept can be effectively used as an alternative method to remove the impurities from a stream of molten aluminum in a wide range of flow regimes.

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Section: Formulation Of the Problemmentioning

confidence: 76%

Section: A Flow Patternmentioning

confidence: 94%

Section: Formulation Of the Problemmentioning

confidence: 99%

See 1 more Smart Citation

Numerical Evaluation of Cyclone Application for Impurities Removal from Molten Aluminum

Turchin¹,

Eskin²,

Katgerman

2008

Metall Mater Trans B

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show abstract

“…We argue that simulation models may also be used to achieve traceability in other continuous processes. However, simulation of continuous processes tend to focus on specific process sections and/or problems, see, for example, Finnie et al (2005), Van Puyvelde (2006) and Bhaskar et al (2007).…”

Section: Introductionmentioning

confidence: 99%

“…Finely meshed computational fluid dynamic models or discrete element methods for granular material have been used to simulate small process sections with continuous flows, see Bhaskar et al (2007) and Finnie et al (2005). In practice, the complexities of these models often result in computational times that quickly become impractical, and reduced accuracy in favour of swiftness may be a better, or the only viable solution.…”

Section: Introductionmentioning

confidence: 99%