Computational Models for Turbulent Reacting Flows - download pdf or read online

By Rodney O. Fox

ISBN-10: 0521650496

ISBN-13: 9780521650496

This survey of the present cutting-edge in computational versions for turbulent reacting flows conscientiously analyzes the strengths and weaknesses of a number of the concepts defined. Rodney Fox makes a speciality of the formula of functional versions in place of numerical matters bobbing up from their resolution. He develops a theoretical framework in response to the one-point, one-time joint chance density functionality (PDF). The learn finds that every one generally hired types for turbulent reacting flows should be formulated by way of the joint PDF of the chemical species and enthalpy.

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Extra resources for Computational Models for Turbulent Reacting Flows

Sample text

1990; Fox 1991; Fox et al. 1994). Nevertheless, its principal weaknesses when applied to stirred reactors are the need to specify an appropriate micromixing time and the assumption that the mean concentrations are independent of the spatial location in the reactor. 10, these shortcomings can be overcome by combining multi-environment micromixing models with CFD models for stirred-tank reactors. A more detailed, but similar, approach based on transported PDF methods is discussed in Chapter 6. Both multi-environment CFD models and transported PDF methods essentially combine the advantages of both zone models and micromixing models to provide a more complete description of turbulent reacting flows.

The molecular-transport coefficients appearing in the governing equations are the kinematic 27 Although this choice excludes combustion, most of the modeling approaches can be directly extended to nonconstant-density flows with minor modifications. 3 Fluid-mechanical approach viscosity ν, and the molecular and thermal diffusivities α for the chemical species and enthalpy fields. 27) is governed by a Poisson equation: ∇ 2 p = −ρ ∂Ui ∂U j . 27) using the continuity equation for a constant-density flow: ∇ · U = 0.

The E-model of Baldyga and Bourne (1989)) that account for the evolution of p1 should be employed to model non-equal-volume mixing. In Chapter 6, this is shown to be a general physical requirement for all micromixing models, resulting from the fact that molecular diffusion in a closed system conserves mass. φ(α) is the mean concentration with respect to all fluid elements with age α. Thus, it is a conditional expected value. H (α, β) is a weighting kernel to generate the contribution of fluid elements with age β to the mean concentration at age α.

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Computational Models for Turbulent Reacting Flows by Rodney O. Fox

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