Nuclear Reactor Thermal Hydraulics and Other Applications 2013
DOI: 10.5772/51754
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CFD Simulation of Flows in Stirred Tank Reactors Through Prediction of Momentum Source

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Cited by 16 publications
(24 citation statements)
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“…There have been numerous investigations of the fluid flow in stirred tanks. In the literature, there are several approaches of turbulence models (k-ε; k-ω; Reynolds stress model; large eddy simulation) and most of the studies were performed based on the k-ε model [7][8][9][10][11] and the Reynolds stress model (RSM) [12][13][14]. The under-prediction of dissipative scales is quite often mentioned in many studies when k-ε and RSM models are used especially near the impeller region where the flow is extremely anisotropic [15,16].…”
Section: Introductionmentioning
confidence: 99%
“…There have been numerous investigations of the fluid flow in stirred tanks. In the literature, there are several approaches of turbulence models (k-ε; k-ω; Reynolds stress model; large eddy simulation) and most of the studies were performed based on the k-ε model [7][8][9][10][11] and the Reynolds stress model (RSM) [12][13][14]. The under-prediction of dissipative scales is quite often mentioned in many studies when k-ε and RSM models are used especially near the impeller region where the flow is extremely anisotropic [15,16].…”
Section: Introductionmentioning
confidence: 99%
“…Segundo Hunag & Li (2013) [5] apresentaram uma equação para calcular o termo fonte de quantidade de movimento considerando tanto a força propulsora do impulsor quanto o efeito de atrito radial entre as lâminas e o fluido. O campo de velocidades próximo ao impulsor e no restante do tanque foram comparados com dados experimentais.…”
Section: Introductionunclassified
“…Since 80's stirred tank modelling has been enlightened in literature by many research groups such as Issa and Gosman, Harvey and Greaves, Lane et al, Vivek et al, Laakkonen et al, Bai et al, and Huang et al among many others [1][2][3][4][5][6][7]. Liquid mixing is described numerically mainly via two-equation models of RANS family due to affordable computational load.…”
Section: Introductionmentioning
confidence: 99%