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Hydrodynamic modeling of solid-liqui...

Devulapalli, Balaji.

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Hydrodynamic modeling of solid-liquid flows in large-scale hydrocyclones.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Hydrodynamic modeling of solid-liquid flows in large-scale hydrocyclones./
Author:	Devulapalli, Balaji.
Description:	161 p.
Notes:	Source: Dissertation Abstracts International, Volume: 57-12, Section: B, page: 7705.
Contained By:	Dissertation Abstracts International57-12B.
Subject:	Engineering, Chemical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9716608
ISBN:	9780591246551

Hydrodynamic modeling of solid-liquid flows in large-scale hydrocyclones.
Devulapalli, Balaji.

Hydrodynamic modeling of solid-liquid flows in large-scale hydrocyclones. - 161 p.

Source: Dissertation Abstracts International, Volume: 57-12, Section: B, page: 7705.

Thesis (Ph.D.)--The University of Utah, 1996.

Fundamental models of hydrocyclones based on fluid mechanics are restricted to dilute slurry systems, and require further development to account for the particle interactions on the fluid phase. The lack of an accurate description of turbulent dispersion of particles and their interactions with the fluid phase is a major obstacle in the development of computer simulations for industrial hydrocyclones, operating with dense suspensions.

ISBN: 9780591246551Subjects--Topical Terms:

1018531
Engineering, Chemical.

Hydrodynamic modeling of solid-liquid flows in large-scale hydrocyclones.
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020 $a 9780591246551
035 $a (UMI)AAI9716608
035 $a AAI9716608
040 $a UMI $c UMI
100 1 $a Devulapalli, Balaji. $3 1263899
245 1 0 $a Hydrodynamic modeling of solid-liquid flows in large-scale hydrocyclones.
300 $a 161 p.
500 $a Source: Dissertation Abstracts International, Volume: 57-12, Section: B, page: 7705.
502 $a Thesis (Ph.D.)--The University of Utah, 1996.
520 $a Fundamental models of hydrocyclones based on fluid mechanics are restricted to dilute slurry systems, and require further development to account for the particle interactions on the fluid phase. The lack of an accurate description of turbulent dispersion of particles and their interactions with the fluid phase is a major obstacle in the development of computer simulations for industrial hydrocyclones, operating with dense suspensions.
520 $a A mathematical model of the hydrocyclone based on the physics of fluid flow has been previously developed by Hsieh. The model solves the governing fluid-flow equations along with the modified Prandtl mixing length model for the turbulence. The same model has been scaled-up to account for larger geometries and the accuracy of the model has been validated by comparing the predicted velocity profiles with the laser-Doppler velocimeter measurements in a 250-mm hydrocyclone. A new conceptual approach known as Stochastic Transport of Particles (STP) was used to predict the particle concentration gradients inside the hydrocyclone. The essence of the model is that the concentration field is pictured as resulting from a distribution of sources of particles in a turbulent flow field. The distribution of particles within the cloud is represented by a probability density function (pdf). The time evolution of this pdf is described in terms of mean particle position and standard deviation and is used to compute the volumetric concentration of particles in each cell. The diameter of the air core that controls the flow splits also estimated from the calculations, by imposing the zero surface pressure condition at the air/water interface. The solution procedure is iterative in nature and the particle submodel is interfaced with the liquid-phase calculations.
520 $a The particle cloud tracking approach provides accurate relationships for coupling the particle phase dynamics with the fluid dynamic equations. The predicted classification curves showed good agreement with experimental curves for concentrated suspensions in a 250-mm hydrocyclone. Finally, the performance of the model has been demonstrated by simulating a 508-mm and a 660-mm hydrocyclones and comparing the predicted classification curves with the experimental data gathered at industrial installations.
590 $a School code: 0240.
650 4 $a Engineering, Chemical. $3 1018531
650 4 $a Engineering, Metallurgy. $3 1023648
690 $a 0542
690 $a 0743
710 2 $a The University of Utah. $3 1017410
773 0 $t Dissertation Abstracts International $g 57-12B.
790 $a 0240
791 $a Ph.D.
792 $a 1996
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9716608