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Multi-fluid approach

The multi-fluid approach can always be used with corresponding states methods for well-defined mixtures. In the one-fluid approach, however, a mixing rule must be proposed for each of the input parameters. For the Petersen et al. [22] corresponding states model discussed earlier, the following relations [31] are used to extend the model to mixtures ... [Pg.15]

The method of Lee and Thodos discussed previously was not extended to mixtures by them, presumably due to the number and nature of the input parameters required [25]. Consequently, the use of this estimation method appears suitable only for well defined mixtures using the multi-fluid approach. [Pg.15]

In view of these complexities, environmental studies that seek to verify proposed cause-effect relationships between contamination and response need to be carefully designed to avoid bias and misunderstanding. Most environmental assessments adopt a multi-tiered approach to testing, in which combinations of biological responses (biomarkers) are measured in tissue samples, body fluids or at the whole organism level to indicate exposure to or adverse effects of contamination.8. Auffret and colleagues60 surveyed Pacific oysters from the Atlantic coast of Brittany after the Erika oil spill between... [Pg.375]

Figure 55-2 Multi-analyte approach to the prenatal diagnosis of methylmalonic acidemia (cb/C complementation group) by metabolite analysis in ceil-free supernatant of amniotic fluid collected at 16 weeks of gestational age. The symbol marks internal standards. A, Determination of total homocysteine by LC-MS/MS (selected reaction monitoring, SRM, transition m/z 136 to m/z 90 and m/z 140 to m/z 94 for the d -labeled internal standard). The concentration of total homocysteine was l5.7pmol/L (0.7 to 2.0pmol/L). B, Determination of methylmalonic acid by LC-MS/MS (SRM, transition m/z 231 to m/z 119 and m/z 234 to m/z 122 for the d3-labeled internal standard). The concentration of methylmalonic acid was 8.7pmol/L, the reference interval for 16 to 19 weeks of gestational age is 0.2 to 0.7)j,mol/L. C, Determination of propionylcarnitine by LC-MS/MS (parent of m/z 85 scan, the [M+H] ion of C3 is m/z 274, m/z 277 for the interna standard). The concentration was 5.6pmol/L (i.5 to l.8pmoi/L),the C3/C4 ratio was 6.9 (0.9 to 2.6). Figure 55-2 Multi-analyte approach to the prenatal diagnosis of methylmalonic acidemia (cb/C complementation group) by metabolite analysis in ceil-free supernatant of amniotic fluid collected at 16 weeks of gestational age. The symbol marks internal standards. A, Determination of total homocysteine by LC-MS/MS (selected reaction monitoring, SRM, transition m/z 136 to m/z 90 and m/z 140 to m/z 94 for the d -labeled internal standard). The concentration of total homocysteine was l5.7pmol/L (0.7 to 2.0pmol/L). B, Determination of methylmalonic acid by LC-MS/MS (SRM, transition m/z 231 to m/z 119 and m/z 234 to m/z 122 for the d3-labeled internal standard). The concentration of methylmalonic acid was 8.7pmol/L, the reference interval for 16 to 19 weeks of gestational age is 0.2 to 0.7)j,mol/L. C, Determination of propionylcarnitine by LC-MS/MS (parent of m/z 85 scan, the [M+H] ion of C3 is m/z 274, m/z 277 for the interna standard). The concentration was 5.6pmol/L (i.5 to l.8pmoi/L),the C3/C4 ratio was 6.9 (0.9 to 2.6).
In this section we derive the drift-flux mixture model starting out from the time averaged multi-fluid model expressed in terms of phase- and mass weighted variables [112]. The relative moment of the phases is given in terms of drift velocities. This approach can be applied for systems where the phase densities are constants and the interface mass transfer can be neglected. [Pg.472]

Bove [16] proposed a different approach to solve the multi-fluid model equations in the in-house code FLOTRACS. To solve the unsteady multifluid model together with a population balance equation for the dispersed phases size distribution, a time splitting strategy was adopted for the population balance equation. The transport operator (convection) of the equation was solved separately from the source terms in the inner iteration loop. In this way the convection operator which coincides with the continuity equation can be employed constructing the pressure-correction equation. The population balance source terms were solved In a separate step as part of the outer iteration loop. The complete population balance equation solution provides the... [Pg.1076]

To complete this chapter, we would like to mention that recent monographs have reviewed the use of in-situ spectroscopies for monitoring heterogeneously catalysed reaction under supercritical conditions, although very few studies in this field has been devoted to the study of the fluid-solid interface.182 The use of a multi-technique approach in order to maximise information under real, in-situ conditions has also been reviewed recently.183 The combined use of powerful spectroscopies with simultaneous on-line analysis of the catalytic activity of the sample will become more widespread in application allowing an interpretation of catalytic behaviour in terms of the physico-chemical properties of the solid. The next frontier in spectroscopic characterisation of metal catalysts will consist of time-dependent analysis of the gas/liquid-solid interface, particularly with a view to analyse short-lived intermediates during catalysed reactions and with the aim to determine the response of the catalyst surface and relate these responses to the physico-chemical properties of the solid. [Pg.116]

Figure 10.12 Multi-scale approach to dense gas-solid flow. In the DNS and DPM models, the solid phase is represented by the actual particles. At the TFM level, the solid phase is considered as a continuum. In DBM the fluid is considered as discrete phase. Phenomenological models are based on the assumptions described above. Figure 10.12 Multi-scale approach to dense gas-solid flow. In the DNS and DPM models, the solid phase is represented by the actual particles. At the TFM level, the solid phase is considered as a continuum. In DBM the fluid is considered as discrete phase. Phenomenological models are based on the assumptions described above.
There are two general approaches to the prediction of the viscosity of the mixtures by the methods considered here. The first approach involves estimating the pure component viscosity of each of the constituents by some method and then combining these values to obtain the viscosity of the mixture. We refer to this approach as the multi-fluid model. A second approach is the so-called one-fluid model, in which the mixture is treated as a pseudo-pure fluid, with mixing rules for obtaining the parameters of the mixture from those of the pure components. [Pg.13]

In this Chapter, the theoretical models for non-equilibrium chemical kinetics in multi-component reacting gas flows are proposed on the basis of three approaches of the kinetic theory. In the frame of the one-temperature approximation the chemical kinetics in thermal equilibrium flows or deviating weakly from thermal equilibrium is studied. The coupling of chemical kinetics and fluid dynamics equations is considered in the Euler and Navier-Stokes approximations. Chemical kinetics in vibrationaUy non-equilibrium flows is considered on the basis of the state-to-state and multi-temperature approaches. Different models for vibrational-chemical coupling in the flows of multi-component mixtures are derived. The influence of non-equilibrium distributions on reaction rates in the flows behind shock waves and in nozzle expansion is demonstrated. [Pg.137]

In Section V it was shown how Wertheim s multi-density approach could be used to develop an equation for associating fluids with an arbitrary number of association sites provided a number of assumptions were satisfied. The simplicity of the TPTl solution results from the fact that the solution is that of an effective two-body problem. Only one bond at a time is considered. This allows the theory to be written in terms of pair correlation functions only, as well as obtain analytical solutions for the bond volume. Moving beyond TPTl is defined as considering irreducible graphs that contain more than one association bond. [Pg.28]

In multi-fluid models, there is a separate solution field for each phase. Transported quantities interact via interphase terms. The pressure in both phases is assumed to be the same within a computational cell. Field equations for each phase are weighted with the volume fraction of that phase. The model is solved using the inter-phase slip algorithm (IPSA) embodied in the PHOENICS computational code with modifications for the interfacial parameters and other source terms. This approach and its derivatives have been adopted in other commercial computational codes. [Pg.332]

Studies employing the multi-domain method usually consider solidification problems cooled from the bottom. There are primarily three approaches for treating boundary conditions between the mush-melt and solid-mush interfaces in the multi-domain approach,. The first model to be considered is that used by Worster [2] and Chen et al. [97] in which the Darcy s equation is employed as the momentum equation in the mushy layer and the Navier-Stokes equation as the momentum equation in the fluid layer and no-slip boundary condition is prescribed at the melt-mushy interface. [Pg.367]


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