2009
DOI: 10.1016/j.powtec.2008.11.007
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CFD analysis of flow field in square cyclones

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Cited by 63 publications
(32 citation statements)
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“…Their results concluded that with smaller vortex finder diameters, the tangential velocity in the inner region of the cyclone increases resulting in a higher collection efficiency. These findings were supported by Raoufi et al (2009) using CFD modelling. CFD modelling has opened an avenue for the cost effective optimization of the cyclone geometry.…”
Section: Effect Of Geometrical Configuration On Cyclone Efficiencysupporting
confidence: 67%
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“…Their results concluded that with smaller vortex finder diameters, the tangential velocity in the inner region of the cyclone increases resulting in a higher collection efficiency. These findings were supported by Raoufi et al (2009) using CFD modelling. CFD modelling has opened an avenue for the cost effective optimization of the cyclone geometry.…”
Section: Effect Of Geometrical Configuration On Cyclone Efficiencysupporting
confidence: 67%
“…The tangential velocity is highly dependent on the geometrical design, wall friction and particle loading. Wang et al (2006), Wan et al (2008) and Raoufi et al (2009) have demonstrated the use of CFD in reasonably predicting the tangential velocity under varied conditions. The temperature also has an effect on the tangential velocity (Shi et al, 2006).…”
Section: Tangential Velocitymentioning
confidence: 99%
“…The results were compared with other cyclones through fly ash analysis and showed that the overall performance of the square cyclone in such capacity is compatible with the conventional cyclones. Raoufi et al (2009) obtained detailed flow information by CFD simulation within those cyclones tested by Wang et al (1999) and Su and Mao (2006). Optimization of square cyclones is, indeed, a multiobjective optimization problem rather than a single objective optimization problem that has been considered so far in the literature.…”
Section: Superscriptsmentioning
confidence: 99%
“…In this paper pressure drop ( p) and the collection efficiency (Á) in a set of square cyclones are numerically investigated using CFD techniques and compared with those of experimental results of Wang et al (1999) and the validated CFD simulation of Raoufi et al (2009). Next, genetically optimized GMDH-type neural networks are used to obtained polynomial models for the effects of geometrical parameters of the square cyclones on both p and Á.…”
Section: Superscriptsmentioning
confidence: 99%
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