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Micromixing models Lagrangian

As briefly discussed in Section 1.2, chemical-reaction engineers recognized early on the need to predict the influence of reactant segregation on the yield of complex reactions. Indeed, the competitive-consecutive and parallel reaction systems analyzed in the previous section have been studied experimentally by numerous research groups (Baldyga and Bourne 1999). However, unlike the mechanical-engineering community, who mainly focused on the fluid-dynamics approach to combustion problems, chemical-reaction [Pg.193]

98 The second condition comes from the fact that max = s2 fb.. [Pg.193]


Perhaps the simplest Lagrangian micromixing model is the interaction by exchange with the mean (IEM) model for a CSTR. In addition to the residence time r, the IEM model introduces a second parameter tm to describe the micromixing time. Mathematically, the IEM model can be written in Lagrangian form by introducing the age a of a fluid particle, i.e., the amount of time the fluid particle has spent in the CSTR since it entered through a feed stream. For a non-premixed CSTR with two feed streams,100 the species concentrations in a fluid particle can be written as a function of its age as... [Pg.213]

One of the principal difficulties faced when employing Lagrangian micromixing models is the determination of tm based on properties of the turbulent flow fields. Researchers have thus attempted to use the universal nature of high-Reynolds-number isotropic turbulence to link tm to the turbulence time scales. For example, in the E-model (Baldyga and Bourne 1989) the engulfment rate essentially controls the rate of micromixing and is defined by... [Pg.216]

In Section 5.6, Lagrangian micromixing models based on mixing environments were introduced. In terms of the joint composition PDF, nearly all such models can be expressed mathematically as a multi-peak delta function. The principal advantage of this type of model is the fact that the chemical source term is closed, and thus it is not necessary to integrate with respect to the joint composition PDF in order to evaluate the... [Pg.240]

On the relationship between Lagrangian micromixing models and computational fluid dynamics. Chemical Engineering and Processing 37, 521-535. [Pg.413]


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See also in sourсe #XX -- [ Pg.4 , Pg.10 , Pg.12 , Pg.13 , Pg.66 , Pg.193 , Pg.194 , Pg.195 , Pg.196 , Pg.197 , Pg.198 , Pg.199 , Pg.200 , Pg.221 , Pg.226 , Pg.239 , Pg.240 , Pg.242 , Pg.271 ]

See also in sourсe #XX -- [ Pg.4 , Pg.10 , Pg.12 , Pg.13 , Pg.66 , Pg.193 , Pg.194 , Pg.195 , Pg.196 , Pg.197 , Pg.198 , Pg.199 , Pg.200 , Pg.221 , Pg.226 , Pg.239 , Pg.240 , Pg.242 , Pg.271 ]




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Lagrangian

Lagrangian models for the micromixing rate

Lagrangians

Micromixing

Micromixing models

Models Lagrangian

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