2006
DOI: 10.1016/j.ces.2006.04.006
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Kinetic theory based CFD simulation of turbulent fluidization of FCC particles in a riser

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Cited by 177 publications
(117 citation statements)
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“…Figure 4 shows typical contour of granular temperature for riser as well as downer. Jiradilok et al (2006) obtained granular temperature of the order of 0.1-10 m 2 /s 2 for riser via Euler-Euler simulations. Similarly we obtained granular temperature of the order of 0.01 m 2 /s 2 (case R.3 and R.4) for riser with relatively smaller dimensions.Tables 3 and 4 summarize the DEM simulations carried out under various operating conditions for upflow and downlow mode respectively.…”
Section: Resultsmentioning
confidence: 99%
“…Figure 4 shows typical contour of granular temperature for riser as well as downer. Jiradilok et al (2006) obtained granular temperature of the order of 0.1-10 m 2 /s 2 for riser via Euler-Euler simulations. Similarly we obtained granular temperature of the order of 0.01 m 2 /s 2 (case R.3 and R.4) for riser with relatively smaller dimensions.Tables 3 and 4 summarize the DEM simulations carried out under various operating conditions for upflow and downlow mode respectively.…”
Section: Resultsmentioning
confidence: 99%
“…In the FCC riser a huge number of solid particles are interacting with a hydrocarbon mixture which, due to low or moderate pressure and high temperature conditions, vaporises and cracks to form lighter compounds and behaves almost like a gaseous phase. Professor Gidaspow proposed an original approach for modeling the solid as a fluid via a kinetic approach and a granular temperature concept (Gidaspow, 1994), which has been seen to be successful for global flow patterns in risers (Neri and Gidaspow, 2000;Jiradilok et al, 2006). This approach is different from what can be obtained with a multi-scale approach as used by van der Hoef et al (2004), but it can be seen as an efficient approach to perform more applied process design calculations.…”
Section: Fcc Gas-solid Flowmentioning
confidence: 95%
“…Optimum designs of the industrial processes or reliable predictions of natural phenomena may be achieved when the physics governing these particulate flows will be thoroughly understood and accuretaly modeled. 1,2 Usual designs of engineering configurations are often based on empirical rules and modeling. The purpose of our study is to contribute to developing and validating macroscopic models recommended for gas-solid suspension flows.…”
Section: Introductionmentioning
confidence: 99%