2008
DOI: 10.1016/j.icheatmasstransfer.2008.07.017
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CFD based evaluation of polymer particles heat transfer coefficient in gas phase polymerization reactors

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Cited by 17 publications
(5 citation statements)
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“…Assuming a steady-state hypothesis and equating the rate of chemical initiation to that of termination, the overall growing polymer concentration is given by (Kolhapure and Fox, 1999): (4.3-5) where f is the initiator efficiency which stands for the fraction of initiator amount that has been consumed. The values of the reaction rate constants (Schmidt and Ray, 1981;Maschio and Moutier, 1989;Choi, 1986;Dehnavi et al, 2008) are listed in Table 4 K t,0 is the initial total termination rate constant as described below: (4.3-6) To account for the auto-acceleration phenomenon in the kinetics model, the approach of the free volume theory is considered. The free volume f of the solution polymerization system is expressed as (Schmidt and Ray, 1981):…”
Section: Reactive Source Termmentioning
confidence: 99%
“…Assuming a steady-state hypothesis and equating the rate of chemical initiation to that of termination, the overall growing polymer concentration is given by (Kolhapure and Fox, 1999): (4.3-5) where f is the initiator efficiency which stands for the fraction of initiator amount that has been consumed. The values of the reaction rate constants (Schmidt and Ray, 1981;Maschio and Moutier, 1989;Choi, 1986;Dehnavi et al, 2008) are listed in Table 4 K t,0 is the initial total termination rate constant as described below: (4.3-6) To account for the auto-acceleration phenomenon in the kinetics model, the approach of the free volume theory is considered. The free volume f of the solution polymerization system is expressed as (Schmidt and Ray, 1981):…”
Section: Reactive Source Termmentioning
confidence: 99%
“…Serra et al (2007) investigated CFD modeling of styrene free radical polymerization in a T-junction micro reactor and assumed isothermal conditions in a micro-scale reactor to calculate poly-dispersity index, degree of polymerization and conversion. CFD was also estimated to calculate convection heat transfer coefficient between particles and polymer fluids in an ethylene polymerization fluidized bed reactor (Dehnavi et al 2008). A study on CFD analysis of polymerization claimed that the gradients of temperature and concentration were only necessary for poorly designed agitation systems and perfect mixing was a good assumption (Poubel et al, 2010).…”
Section: Computational Fluid Dynamicsmentioning
confidence: 99%
“…The general conclusions were that local hydrodynamic conditions can be important, that conduction played a role in heat transfer even in a turbulent fluidised bed, and that (as expected) the conductivity of a solid surface with which a polymerising particle is in contact, also plays a role in the development of temperature profiles inside the growing polymer 13, 14. In a very similar effort, another group used essentially the same approach to reconfirm that particle/particle interactions can influence the observed particle heat transfer coefficient, but no attempt was made to look in detail at particle/surface interactions 16, 17…”
Section: Introductionmentioning
confidence: 98%