CFD in der mechanischen Trenntechnik

Schütz, Steffen; Piesche, Manfred; Gorbach, Gabriele; Schilling, Martin S.; Seyfert, Cornelia; Kopf, Philipp; Deuschle, Timo; Sautter, Nic; Popp, Eva; Warth, Tobias

doi:10.1002/cite.200700109

Cited by 9 publications

(3 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The momentum conservation equation of the continuous phase has a source term to consider the momentum exchange with the particulate phase. The maximum value for the volume concentration of the disperse phase is between 5% (Schütz et al, 2007) and 10-12% (ANSYS, 2009), above this value the interaction between particles should be considered. Thus there is a third method, four-way coupling, which involves the interaction within the disperse phase: impacts between particles, particle-wall interactions, van der Waals forces, electrostatic forces, etc.…”

Section: Mathematical Formulation Of the Particlesmentioning

confidence: 99%

Computational Fluid Dynamics (CFD) and Discrete Element Method (DEM) Applied to Centrifuges

Fernández¹,

Spelter²,

Nirschl³

2012

Applied Computational Fluid Dynamics

View full text Add to dashboard Cite

Section: Mathematical Formulation Of the Particlesmentioning

confidence: 99%

Computational Fluid Dynamics (CFD) and Discrete Element Method (DEM) Applied to Centrifuges

Fernández¹,

Spelter²,

Nirschl³

2012

Applied Computational Fluid Dynamics

View full text Add to dashboard Cite

“…Unsteady Forces Event Forces Here F d is the drag force, F h the hydrodynamic lift force, F Magnus is the Magnus force, F Saffman is the Saffman force, F Faxen is the Faxen force, F g is the gravity force, F b is the buoyancy force, F VM is the added (virtual) mass effect, F Basset is the Basset (history) force and F e,i stands for the i-th of N event forces [6], [14], [15]. The individual force contributions, summarized in Equ.29 can be divided into three main categories: steady state forces, unsteady forces and event forces.…”

Section: Steady State Forcesmentioning

confidence: 99%

Simulation of filtration processes in deformable media

Boiger¹,

Mataln²,

Brandstätter³

2009

The International Journal of Multiphysics

View full text Add to dashboard Cite

A Lagrangian solver to realistically model large, non-spherical dirt particles and their behaviour in the vicinity of deformable filtration fibres has been programmed. While this paper focuses on basic solver concepts as well as drag force implementations, a related article, concerning the realisation of interaction effects and result verification, is forthcoming, [3].Within the framework of a digitally reconstructed, deformable filter fibre geometry, the solver traces the governing multi physics effects down to the occurrence of single force-and torque vectors. In order to go from an initial, spherical particle model [2], to a more sophisticated, non-spherical model, the capabilities of a Six Degrees of Freedom Solver have been included in the programming. A panel model and the concept of satellite help points are used to handle particles that encompass several fluid calculation cells.An innovative drag force implementation allows the consideration of rotational-and shear flow effects on particle motion. Results are evaluated and compared to an analytical formulation.

show abstract

“…Many publications [Pericleous K. A., Rhodes N.,1986;Davidson M. R.,1988;Hsien K. T., Rajamani R. K., 1991;Monredon T. C. et al, 1992;Dyakowski T., Williams R. A.,1993;He P. et al, 1999;Dai G. Q. et al, 1999;Novakowski A. F. et al, 2000;Ko J. et al, 2006] were devoted to the theory of hydrocyclone hydrodynamics (computational mathematics) while other were focusing on the technological aspects of the solid-liquid separation or size classification [Nowakowski A. F. et al, 2004;Dueck J. et al, 2000;Narasimha M. et al, 2005;Schütz S. et al, 2007;.…”

Section: Introductionmentioning

confidence: 99%

Моделирование Течения В Гидроциклоне С Дополнительным Инжектором

Дик¹,

Minkov²

2011

CRM

View full text Add to dashboard Cite

Получено 24 февраля 2011 г.Abstract. -The paper is an example of computer simulation in mechanical engineering. Velocity field in a hydrocyclone are determined numerically, because for direct measurements it is difficult to achieve them. The numerical simulation of 3D fluid dynamics based on the k-eps RNG model of turbulence in the hydrocyclone with the injector, containing 5 tangentially directed nozzles is considered. It is shown that the direction of movement of injected fluid in the hydrocyclone depends on the water flow rate through the injector. The calculations show in accordance with the experiments that the dependence of the Split-parameter on the injected water flow rate has a non-monotone character associated with the ratio of power of the main flow and the injected fluid.Статья представляет собой пример компьютерного моделирования в области инженерной механики. Численным методом находятся поля скорости в гидроциклоне, которые недоступны прямому измерению. Рассматривается численное моделирование трехмерной гидродинамики на основе k-ε RNG модели турбулентности в гидроциклоне со встроенным инжектором, содержащим 5 тангенциально направленных сопла. Показано, что направление движения инжектируемой жидкости зависит от расхода жидкости через инжектор. Расчеты показывают в соответствии с экспериментами, что зависимость сплит-параметра от расхода инжектируемой жидкости имеет немонотонный характер, связанный с отношением мощности основного потока и инжектируемой жидкости.

show abstract

CFD in der mechanischen Trenntechnik

Cited by 9 publications

References 47 publications

Computational Fluid Dynamics (CFD) and Discrete Element Method (DEM) Applied to Centrifuges

Computational Fluid Dynamics (CFD) and Discrete Element Method (DEM) Applied to Centrifuges

Simulation of filtration processes in deformable media

Моделирование Течения В Гидроциклоне С Дополнительным Инжектором

Contact Info

Product

Resources

About