Comparison of a Classical Cyclone Separator and Protruding Surface Cyclone Separator using CFD Software

Based on experimental and computational fluid dynamics analysis, the phenomenon of particle back-mixing near the dust outlet in cyclone separator with tangential inlet was studied. The results show that particle back-mixing appears near the dust outlet geometry. Particle back-mixing can be divided into dust hopper back-mixing and discharge cone back-mixing for different generation mechanism. The upward flow coming from dust hopper, which occupies 17.7% of the inlet gas, can induce dust hopper back-mixing. The particle mass flow rate that caused by dust hopper back-mixing occupies 46.6% of total inlet particle mass flow rate. Precessing vortex core, bias flow and high turbulent intensity near the dust outlet can induce discharge cone back-mixing. For both dust hopper back-mixing and discharge cone back-mixing, particle back-mixing is serious near the dust outlet geometry, which occupies 56.8% of total inlet particle mass flow rate. Particle which is smaller than 18μm can mix backward. The axial distribution of particle concentration decreases sharply in a range of 1.5 D (cyclone diameter) height above the dust discharge port. At last, only 2.6% of back-mixing particles with diameter no bigger than 13μm escape from vortex finder. This effect on separator efficiency increases with the particle diameter decreases.

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Solids concentration simulation of different size particles in a cyclone separator

Powder Technology ◽

10.1016/j.powtec.2007.11.019 ◽

2008 ◽

Vol 183 (1) ◽

pp. 94-104 ◽

Cited By ~ 90

Author(s):

Gujun Wan ◽

Guogang Sun ◽

Xiaohu Xue ◽

Mingxian Shi

Keyword(s):

Cyclone Separator ◽

Solids Concentration

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Analysis of the Influence of Vortexbinder Dimension on Cyclone Separator Performance in Biomass Gasification System

Procedia Engineering ◽

10.1016/j.proeng.2017.03.036 ◽

2017 ◽

Vol 170 ◽

pp. 154-161 ◽

Cited By ~ 4

Author(s):

Adi Surjosatyo ◽

Adi Respati ◽

Hafif Dafiqurrohman ◽

Muammar

Keyword(s):

Biomass Gasification ◽

Cyclone Separator

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Application of Adjoint-Derived Forecast Sensitivities to the 24–25 January 2000 U.S. East Coast Snowstorm

Monthly Weather Review ◽

10.1175/mwr3023.1 ◽

2005 ◽

Vol 133 (11) ◽

pp. 3148-3175 ◽

Cited By ~ 20

Author(s):

Daryl T. Kleist ◽

Michael C. Morgan

Keyword(s):

Response Function ◽

Initial Conditions ◽

Forecast Error ◽

Weather Prediction ◽

Lower Troposphere ◽

Vertical Motion ◽

Initial Condition ◽

Response Functions ◽

Eastern United States ◽

Surface Cyclone

Abstract The 24–25 January 2000 eastern United States snowstorm was noteworthy as operational numerical weather prediction (NWP) guidance was poor for lead times as short as 36 h. Despite improvements in the forecast of the surface cyclone position and intensity at 1200 UTC 25 January 2000 with decreasing lead time, NWP guidance placed the westward extent of the midtropospheric, frontogenetically forced precipitation shield too far to the east. To assess the influence of initial condition uncertainties on the forecast of this event, an adjoint model is used to evaluate forecast sensitivities for 36- and 48-h forecasts valid at 1200 UTC 25 January 2000 using as response functions the energy-weighted forecast error, lower-tropospheric circulation about a box surrounding the surface cyclone, 750-hPa frontogenesis, and vertical motion. The sensitivities with respect to the initial conditions for these response functions are in general very similar: geographically isolated, maximized in the middle and lower troposphere, and possessing an upshear vertical tilt. The sensitivities are maximized in a region of enhanced low-level baroclinicity in the vicinity of the surface cyclone’s precursor upper trough. However, differences in the phase and structure of the gradients for the four response functions are evident, which suggests that perturbations could be constructed to alter one response function but not necessarily the others. Gradients of the forecast error response function with respect to the initial conditions are used in an iterative procedure to construct initial condition perturbations that reduce the forecast error. These initial condition perturbations were small in terms of both spatial scale and magnitude. Those initial condition perturbations that were confined primarily to the midtroposphere grew rapidly into much larger amplitude upper-and-lower tropospheric perturbations. The perturbed forecasts were not only characterized by reduced final time forecast error, but also had a synoptic evolution that more closely followed analyses and observations.

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