Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Computational Fluid Dynamics Model of a Swirler Separator for Gas Cleaning
This work is concerned with the development of a computational fluid dynamics model for a two-phase, turbulent, swirling flow produced by stationary guide vanes. The swirling flow causes separation of particles in the air stream and hence the device is called swirler separator. The Reynolds-averaged continuity and Navier-Stokes equations are solved along with the Boussinesq hypothesis to describe the stress distribution throughout the flow field in a body-fitted coordinate system. The κ-ε model is used to determine turbulent viscosity. Finite volume methodology is adopted to discretize the system of governing partial differential equations and the semi-implicit method for pressure linked equations consistent to deal with the pressure-velocity coupling. The dilute phase is accounted for by following a Lagrangian methodology in which a Newtonian force balance tracks the particles throughout the flow field. A stochastic method is employed to model the dispersion of particles due to turbulence of the fluid-phase. The phenomenological model is then successfully used to predict velocity and pressure fields created by the guide vanes as well as particle classification curves brought about by the swirler separator.
Computational Fluid Dynamics Model of a Swirler Separator for Gas Cleaning
This work is concerned with the development of a computational fluid dynamics model for a two-phase, turbulent, swirling flow produced by stationary guide vanes. The swirling flow causes separation of particles in the air stream and hence the device is called swirler separator. The Reynolds-averaged continuity and Navier-Stokes equations are solved along with the Boussinesq hypothesis to describe the stress distribution throughout the flow field in a body-fitted coordinate system. The κ-ε model is used to determine turbulent viscosity. Finite volume methodology is adopted to discretize the system of governing partial differential equations and the semi-implicit method for pressure linked equations consistent to deal with the pressure-velocity coupling. The dilute phase is accounted for by following a Lagrangian methodology in which a Newtonian force balance tracks the particles throughout the flow field. A stochastic method is employed to model the dispersion of particles due to turbulence of the fluid-phase. The phenomenological model is then successfully used to predict velocity and pressure fields created by the guide vanes as well as particle classification curves brought about by the swirler separator.
Computational Fluid Dynamics Model of a Swirler Separator for Gas Cleaning
Luis A.C. Klujszo (Autor:in) / Polycarpe K. Songfack (Autor:in) / Raj K. Rajamani (Autor:in) / Menachem Rafaelof (Autor:in)
2014
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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