2004
DOI: 10.1016/j.ces.2004.09.018
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Scale up of gas-phase chlorination reactors using CFD

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Cited by 7 publications
(3 citation statements)
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“…Detailed phenomenon can be implemented in CFD models with which the scale-up calculation can be performed much easier and more effective in comparison with the traditional ways. [1,5] There are quite number of CFD-assisted scale-up studies in literatures for different processes such as fermentation, [6][7][8] coal combustion, gasification and burners, [9][10][11][12] bioreactors and bubble columns, [1,5,[13][14][15][16] gas cleaning and upgrading, [17,18] spouted and fluidized beds, [11,19,20] and crystallization reactors. [21] To mention few, Azuhata et al [9] have performed a CFD-based analysis of a coal burner to scale up from laboratory to pilot scale with 25 times higher coal feed rate.…”
Section: Introductionmentioning
confidence: 99%
“…Detailed phenomenon can be implemented in CFD models with which the scale-up calculation can be performed much easier and more effective in comparison with the traditional ways. [1,5] There are quite number of CFD-assisted scale-up studies in literatures for different processes such as fermentation, [6][7][8] coal combustion, gasification and burners, [9][10][11][12] bioreactors and bubble columns, [1,5,[13][14][15][16] gas cleaning and upgrading, [17,18] spouted and fluidized beds, [11,19,20] and crystallization reactors. [21] To mention few, Azuhata et al [9] have performed a CFD-based analysis of a coal burner to scale up from laboratory to pilot scale with 25 times higher coal feed rate.…”
Section: Introductionmentioning
confidence: 99%
“…3.15 is intractable due to its high dimensionality. In our Lagrangian PDF code [ Raman et al ( , 2003[ Raman et al ( , 2004], Eq. 3.15 is expressed in terms of stochastic differential equations for so-called "notional"particles.…”
Section: Transported Pdf Modelmentioning
confidence: 99%
“…The procedure to calibrate the concentration measurements is described by [ Feng, H. et al (2005)]. in this study can be found elsewhere [ Liu, Y. et al (2004)]. The performance of this model is evaluated by comparing predicted single-point turbulence statistics with ensemble-averaged PIV data (which is equivalent to time-averaged data for this stationary flow).…”
Section: Concentration Measurementsmentioning
confidence: 99%