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Regime Transition Determination

As noted in 10.3.1, the transport velocity, Uti, marks the lower limit of the gas velocity for fast fluidization operation. The characteristics and the prediction of Uti are given in the following discussion. [Pg.425]

The transport velocity can also be evaluated from the variations of the local pressure drop per unit length (Ap/Az) with respect to the gas velocity and the solids circulation rate, Jp. An example of such a relationship is shown in Fig. 10.4. It is seen in the figure that, along the curve AB, the solids circulation rates are lower than the saturation carrying capacity of the flow. Particles with low particle terminal velocities are carried over from the riser, while others remain at the bottom of the riser. With increasing solids circulation rate, more particles accumulate at the bottom. At point B in the curve, the solids fed into the riser are balanced by the saturated carrying capacity. A slight increase in the solids circulation rate yields a sharp increase in the pressure drop (see curve BC in Fig. 10.4). This behavior reflects the collapse of the solid particles into a dense-phase fluidized bed. When the gas [Pg.425]

There has been no definitive theory proposed to predict the transport velocity. A simple empirical equation proposed by Bi and Fan (1992), given next, can be used for estimation of the transport velocity  [Pg.427]

This correlation can be applied to both Group A and Group B particles in small risers (D 0.3 m). It is noted that operation with choking is unstable. Another type of unstable operation is caused by system design and operation (see 10.3.3.2). The lower bound of the gas velocity due to instability caused by system design and operation is greater than or equal to that due to choking. [Pg.428]

The following empirical correlation can be used to estimate the upper bound of fast fluidization operation for Group A particles in risers of D 0.2 m [Bi and Fan, 1991]  [Pg.428]


From the observable effect of the cutoff angle on the flow regime transition it can be deduced that notwithstanding the favorable results obtained at an angle of 70°, the transition is still determined by the outlet geometry to a large extent. This implies that the limits to counterflow operation in the internally finned tube proper have not yet been reached in the previously discussed experiments. [Pg.318]

Marlow (1981) has extended this development to the transition and free-molecule regimes and determined that the effect of van der Waals forces on aerosol coagulation rates can be considerably more pronounced in these size ranges than in the continuum regime. [Pg.618]

The flow regime transitions ean be determined from a gassed power number (or gassed-to-ungassed power ratio) versus flow number graph where the flow number is defined as... [Pg.73]

Hu WB (2005) Molecular segregation in polymer melt crystallization simulation evidence and unified-scheme interpretation. Macromolecules 38 8712-8718 Hu WB, Cai T (2008) Regime transitions of polymer crystal growth rates molecular simulations and interpretation beyond Lauritzen-Hoffman model. Macromolecules 41 2049-2061 Jeziomy A (1971) Parameters characterizing the kinetics of the non-isothermal crystallization of poly(ethylene terephthalate) determined by DSC. Polymer 12 150-158 Johnson WA, Mehl RT (1939) Reaction kinetics in processes of nucleation and growth. Trans Am Inst Min Pet Eng 135 416-441... [Pg.220]

A fluidization regime map should be developed that identifies regime transitions as a function of operating conditions and CFB design—FIS vs. VIS. Techniques for determining transition velocities have been reported but implementation is not exact. Available predictive correlations for transition velocities need to be modified to include the effect of imposed solids mass flux. [Pg.288]

The role of laminar/turbulent flow regime transitions in determining the SS/SW transition has been demonstrated via the variation of tube diameter in air-water systems. Clearly, the same basic phenomena are expected due to variations of the physical properties of the phases when dealing with various two-fluid systems. [Pg.346]

In addition to and other regime transition velocities such as u, u, and Mb- should be important for high-velocity operation. Figure 52 shows the pressure fluctuation response to gas veloeity ehange, from which Me and are determined. These eharaeteristie... [Pg.693]

Bubble dynamics and characteristics discussed above determine the hydrodynamic and heat and mass transfer behaviors in three-phase fluidization systems, which is important for better design and operation of three-phase fluidized beds. In this section, various hydrodynamic variables and transfer properties in three-phase systems are discussed. Specifically, areas discussed in the hydrodynamics section are minimum fluidization, bed contraction and moving packed bed phenomenon, flow regime transition, overall gas holdup and hydro-dynamic similarity, and bubble size distribution and the dominant role of larger bubbles. Later in this section, important topics covering transport phenomena will be discussed, which include heat and mass transfer and phase mixing. [Pg.779]

It has been proposed that in the magnetization dynamics of singledomain particles there is a characteristic crossover temperature T below which the escape of the magnetization from the metastable states is dominated by quantum barrier transitions, rather than by thermal over barrier activation. Above T the escape rate is given by the rate of the thermal transitions, determined by the Boltzman factor, = 1/exp(—t/Z/cT), where U is the barrier separating two metastable states. In a thermally activated regime it should vanish when the temperature approaches zero. [Pg.458]

To determine the prevailing termination mechanism in SI-PMP over a broad range of relevant reaction conditions, experimental data on film thickness evolution such as that shown in Figure 12.4 were fit in the brush regime (transitions marked by arrows in Figure 12.4) by the kinetic models that incorporate one or more termination mechanisms. For example, Rahane et al. combined Equation 12.1 with expressions for STR based on either bimolecular termination or chain transfer to monomer to develop models for how layer thickness should evolve as a function of exposure time. These models, shown as Equations 12.3 and 12.4, respectively, can be compared to experimental data of polymer layer thickness as a function of time to deduce which irreversible termination mechanisms are prevalent. [Pg.292]

For the same case of n = 1200 rpm and r = 0.5, we obtain u,/Ug = 800, whereas for the turbulent regime the ratio was only 28. This example demonstrates that the centrifugal process is more effective in the separation of small particles than of large ones. Note that after the radial velocity u, is determined, it is necessary to check whether the laminar condition. Re < 2, is fulfilled. For the transition regime, 2 < Re < 500, the sedimentation velocity in the gravity field is ... [Pg.529]

Beyond the CMC, surfactants which are added to the solution thus form micelles which are in equilibrium with the free surfactants. This explains why Xi and level off at that concentration. Note that even though it is called critical, the CMC is not related to a phase transition. Therefore, it is not defined unambiguously. In the simulations, some authors identify it with the concentration where more than half of the surfactants are assembled into aggregates [114] others determine the intersection point of linear fits to the low concentration and the high concentration regime, either plotting the free surfactant concentration vs the total surfactant concentration [115], or plotting the surfactant chemical potential vs ln( ) [119]. [Pg.652]

A summary of the nine batch reactor emulsion polymerizations and fifteen tubular reactor emulsion polymerizations are presented in Tables III IV. Also, many tubular reactor pressure drop measurements were performed at different Reynolds numbers using distilled water to determined the laminar-turbulent transitional flow regime. [Pg.119]


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