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Density, effective mean

The physics and modeling of turbulent flows are affected by combustion through the production of density variations, buoyancy effects, dilation due to heat release, molecular transport, and instabiUty (1,2,3,5,8). Consequently, the conservation equations need to be modified to take these effects into account. This modification is achieved by the use of statistical quantities in the conservation equations. For example, because of the variations and fluctuations in the density that occur in turbulent combustion flows, density weighted mean values, or Favre mean values, are used for velocity components, mass fractions, enthalpy, and temperature. The turbulent diffusion flame can also be treated in terms of a probabiUty distribution function (pdf), the shape of which is assumed to be known a priori (1). [Pg.520]

The simulations to investigate electro-osmosis were carried out using the molecular dynamics method of Murad and Powles [22] described earher. For nonionic polar fluids the solvent molecule was modeled as a rigid homo-nuclear diatomic with charges q and —q on the two active LJ sites. The solute molecules were modeled as spherical LJ particles [26], as were the molecules that constituted the single molecular layer membrane. The effect of uniform external fields with directions either perpendicular to the membrane or along the diagonal direction (i.e. Ex = Ey = E ) was monitored. The simulation system is shown in Fig. 2. The density profiles, mean squared displacement, and movement of the solvent molecules across the membrane were examined, with and without an external held, to establish whether electro-osmosis can take place in polar systems. The results clearly estab-hshed that electro-osmosis can indeed take place in such solutions. [Pg.786]

Determination of cross-link density from compression experiments is perhaps the most effective means of determining cross-link density as long as samples of the appropriate geometry can be prepared. When a hydrogel is subjected to an external force, it undergoes elastic deformation which can be related to the effective cross-link density of the network [63,99], Here the measurements made to extract cross-link density from polymer deformation are briefly discussed. [Pg.517]

Fig. 15.7 The effect of swell ratio on foam density and mean cell size for DCP crosslinked LDPE foam... Fig. 15.7 The effect of swell ratio on foam density and mean cell size for DCP crosslinked LDPE foam...
To account for the effect of a sufficiently broad, statistical distribution of heterogeneities on the overall transport, we can consider a probabilistic approach that will generate a probability density function in space (5) and time (t), /(i, t), describing key features of the transport. The effects of multiscale heterogeneities on contaminant transport patterns are significant, and consideration only of the mean transport behavior, such as the spatial moments of the concentration distribution, is not sufficient. The continuous time random walk (CTRW) approach is a physically based method that has been advanced recently as an effective means to quantify contaminant transport. The interested reader is referred to a detailed review of this approach (Berkowitz et al. 2006). [Pg.226]

Now, assuming that 4> is independent of F, the work function may be readily deduced from the slope of the plot of log (j/V ) against 1/F alternatively, may be calculated from values of the current density by means of Equation (5). This leads to an average work function increment A when measurements are made for a clean and then for a covered metal surface. In its uncorrected form, however, the observed value of A(f> due to an adsorbed layer is somewhat less than that predicted by Equation (5), since the potential of a discrete layer reaches A only at some distance from the surface. Thus, the contribution of the adsorbed layer to the energy barrier is reduced—an effect which is most marked at low coverage (41)-... [Pg.84]

The Evans method gives excellent results provided adequate care is taken. A most important requirement is that the solution temperature is measured reliably. One effective means of accomplishing this for H NMR is to insert into the NMR tube a capillary or additional coaxial sample of an NMR temperature calibrant solvent, usually methanol (158) or ethylene glycol (88). In this way the temperature measurement is made simultaneously with the susceptibility measurement. A second important factor is the variation of the solvent density with temperature (126). Because the density difference between the solvent and solution depends linearly on the concentration of the solute, it is only... [Pg.4]

In the local response model each electron density volume element is separately characterized by a two-parameter formula giving electric dipole oscillator strength as a function of frequency [12]. One of the two parameters is fixed by the oscillator strength sum rule, while the other is an effective mean excitation energy, taken to be the plasma energy huip by Andersson et al [9]. This model requires introduction of a low-density cutoff of the dipole response, because a... [Pg.77]

The initial rate of spreading (often termed slumping) of a heavier-than-air vapor cloud can be significant, depending on the magnitude of the difference between the effective mean cloud/plume density and the air density. [Pg.23]

We first calculate the mean free path to determine if low-density effects are important. From Eq. (12-45), at an average temperature of 65°C = 338 K,... [Pg.620]

Since the plate spacing is only 2.5 cm, we should expect low-density effects to be important. Evaluating properties at the mean air temperature of 65°C, we have... [Pg.620]

The distinction between hydrogen-bond donors, i.e., N-H, and nondonors, i.e., C-H, is often not apparent in deformation density maps. This distinction appears much more clearly on the electrostatic potential maps, such as illustrated in Fig. 3.4 [218]. Such maps may therefore provide a more effective means of quantitatively analyzing the electronic differences between the different donor-acceptor hydrogen-bond combinations which is manifested by the different mean bond lengths described in Part IB, Chapter 7 [222- 226]. It has been suggested that hydrogen-bond strengths can be at least qualitatively compared from the values of the electrostatic potentials at fixed distances from the donor and acceptor atoms, i.e., 2.0 A [227]. [Pg.66]

Case (b) Compute the Flux Density Using Mean Effective Gas Emissivity Approximation... [Pg.39]


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