2010
DOI: 10.1016/j.ijheatmasstransfer.2010.05.047
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Study of wall-to-bed heat transfer in a bubbling fluidised bed using the kinetic theory of granular flow

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Cited by 82 publications
(27 citation statements)
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References 39 publications
(70 reference statements)
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“…(11). An estimate of the effective conductivity of the bed can be obtained from the Zehner-Schlünder model for stagnant thermal conductivity, which has been used in several studies [28,29] K)] in agreement with the experimentally fitted value. Moreover, when the bed is fluidized, the contacting surface of the gas and particles are continuously renewed by random particle fluctuations.…”
Section: Resultsmentioning
confidence: 97%
“…(11). An estimate of the effective conductivity of the bed can be obtained from the Zehner-Schlünder model for stagnant thermal conductivity, which has been used in several studies [28,29] K)] in agreement with the experimentally fitted value. Moreover, when the bed is fluidized, the contacting surface of the gas and particles are continuously renewed by random particle fluctuations.…”
Section: Resultsmentioning
confidence: 97%
“…It is found that the simulation value for =0.3 is closer to the experimental value. Therefore, the specularity coefficient 0.3, which is very close to = 0.25 used by Armstrong et al [30,54] , for the partial-slip boundary condition is selected to simulate the flow of gas and particles in two catalyst coolers. The selected specularity value is also consistent with the recommendations from Bakshi et al [55] , who suggested that values of shall be n the range of [0.01, 0.3] to simulate dense solid-gas flows.…”
Section: Specularity Coefficientmentioning
confidence: 99%
“…Moreover, another researches aimed to obtain the relation between the gas-solids hydrodynamics and bed-to-tube heat transfer in a fluidized bed with immersed heated tube. Armstrong et al [30] used a two-fluid Eulerian-Eulerian formulation incorporating the KTGF to simulate the 2D fluidized bed with horizontal heated immersed tubes. Results showed that increasing the number of tubes promoted heat transfer from tubes to the particles and flow.…”
Section: Introductionmentioning
confidence: 99%
“…a s r s u s Cp s dx (35) where x is distance from the computational node to the heating wall, D is bed diameter.…”
Section: Numerical Simulationmentioning
confidence: 99%