2010
DOI: 10.1016/j.ijheatmasstransfer.2010.01.027
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Inter-phase interaction in a turbulent, vertical channel flow laden with heavy particles. Part II: Two-phase velocity statistical properties

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Cited by 27 publications
(4 citation statements)
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“…The study by Gore and Crowe [8] found that a particle diameter of 1/10 the size of the most energetic eddies represents a demarcation between increase and decrease of the carrier-phase turbulence such that smaller particles tended to attenuate the turbulence. The interaction between two phases was studied by Wang [9,10] using numerical simulation of a turbulent channel flow laden with heavy particles. They found that the modulation of turbulence is stronger near the wall than in other regions due to the preferential accumulation of particles near the wall.…”
Section: Introductionmentioning
confidence: 99%
“…The study by Gore and Crowe [8] found that a particle diameter of 1/10 the size of the most energetic eddies represents a demarcation between increase and decrease of the carrier-phase turbulence such that smaller particles tended to attenuate the turbulence. The interaction between two phases was studied by Wang [9,10] using numerical simulation of a turbulent channel flow laden with heavy particles. They found that the modulation of turbulence is stronger near the wall than in other regions due to the preferential accumulation of particles near the wall.…”
Section: Introductionmentioning
confidence: 99%
“…To verify the numerical simulation methods, the present calculated results are compared with the experimental data by Kulick et al [23] and numerical data by Kim et al [24], Rouson and Eaton [25], Wang and Squires [16], and Wang [26,27]. Figure 2 shows the mean streamwise velocities of Mean streamwise velocities of fluid and particle phases.…”
Section: Resultsmentioning
confidence: 86%
“…This indicates that the turbulent airflow is well resolved by the present numerical methods and codes. Moreover, the statistical mean and fluctuating velocity profiles of particles are also compared with previous DNS and LES data reported by Wang and Squires [26] and Wang, [31,32] as shown in Figs. 2(c)-2(f).…”
Section: Numerical Simulation Verificationmentioning
confidence: 81%