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Fluctuations kinetics

Note that in the granular temperature equation Eq. (61), there is one extra term that is absent in the SET, namely the dissipation of fluctuating kinetic energy y. From the KTGF follows that... [Pg.120]

In this equation, the superscript ( ) indicates that a term is computed based upon the most recent information, which complies with the ( + l)th time level when all iterative loops have converged. Further, the convective transport and viscous generation of fluctuating kinetic energy have been collected in the explicit term D. The iterative solution procedure for the granular energy equations continues until the convergence criteria... [Pg.124]

A careful study of the fluctuation-controlled kinetics performed in recent years has led us to numerous deviations from the results of generally-accepted standard chemical kinetics. To prevent readers from getting lost in details of different formalisms and the ocean of equations presented in this book, we present in this introductory Chapter a brief summary, explain the necessity of developing the fluctuation kinetics and demonstrate its peculiarities compared with techniques presented earlier. We will use here the simplest mathematical formalism and focus on basic ideas which will be discussed later on in full detail. [Pg.4]

The transport equation for the fluctuating kinetic energy expressed in terms of the granular temperature is achieved by subtracting the equation for the macroscopic kinetic energy from the equation for the sum of the fluctuating and macroscopic energy forms. The result is [16, 22] ... [Pg.519]

The first hypothesis is quite plausible for concentrated suspensions, and the fluctuation temperature may be defined in terms of the mean fluctuation kinetic energy associated with one translational degree of freedom of a particle in the following form ... [Pg.125]

In this equation, I is the unit tensor, is the pseudo-Fourier fluctuating kinetic energy flux, and y is the dissipation rate of granular energy due to inelastic particle-particle collisions. In the KTGF, coUisions are assumed binary and quasi-instantaneous and do not take long-term and multiple particle contact into account (which is the case in the dense part of the fluidized bed). To correct for this shortcoming, the solids phase viscosity Ps and the solids phase pressure are split up into a kinetic part and a frictional part. [Pg.193]

Pseudo-Fourier fluctuating kinetic energy flux... [Pg.196]

Accordingly we use the following time CF s which represent the fluctuation kinetics of these two molecular quantities ... [Pg.208]

Let k represent the average of turbulent fluctuating kinetic energy of the fluid, i.e.,... [Pg.7]

The governing equations used by Chao et al. [23] are listed below, where the variable subscripts 0,1 and 2 denote each of the three fluids in the order of gas, flotsam and jetsam. Equation (4.413) is a constraint for the gas and particle volume fractions, (4.414) is a universal continuity equation for both the gas and particle phases, (4.415) and (4.416) are the gas and particle momentum equations. Equation (4.316) is the granular temperature equation which describes the transport of the fluctuating kinetic... [Pg.662]

Gas-particle fluctuation kinetic energy (covariance) (m /s ) Mass transfer coefficient m/s... [Pg.1567]

To represent the influence of the fluctuation kinetics on the placement, we must eonsider the parameters that would define the respeetive positions of spheres C or A around a sphere of A, and in particular ... [Pg.534]

The current frontiers for the subject of non-equilibrium thennodynamics are rich and active. Two areas dommate interest non-linear effects and molecular bioenergetics. The linearization step used in the near equilibrium regime is inappropriate far from equilibrium. Progress with a microscopic kinetic theory [38] for non-linear fluctuation phenomena has been made. Carefiil experiments [39] confinn this theory. Non-equilibrium long range correlations play an important role in some of the light scattering effects in fluids in far from equilibrium states [38, 39]. [Pg.713]

Machlup S and Onsager L 1953 Fluctuations and irreversible processes. II. Systems with kinetic energy Rhys. Rev. 91 1512... [Pg.714]

In both cases the late stages of kinetics show power law domain growth, the nature of which does not depend on the mitial state it depends on the nature of the fluctuating variable(s) which is (are) driving the phase separation process. Such a fluctuating variable is called the order parameter for a binary mixture, tlie order parameter o(r,0 is tlie relative concentration of one of the two species and its fluctuation around the mean value is 5e(/,t) = c(r,t) - c. In the disordered phase, the system s concentration is homogeneous and the order... [Pg.732]

Milchev A, Binder K and Heermann D W 1986 Fluctuations and lack of self-averaging in the kinetics of domain growth Z. Phys. B. Condens. Matter. 63 521 -35... [Pg.2286]

By virtue of their simple stnicture, some properties of continuum models can be solved analytically in a mean field approxunation. The phase behaviour interfacial properties and the wetting properties have been explored. The effect of fluctuations is hrvestigated in Monte Carlo simulations as well as non-equilibrium phenomena (e.g., phase separation kinetics). Extensions of this one-order-parameter model are described in the review by Gompper and Schick [76]. A very interesting feature of tiiese models is that effective quantities of the interface—like the interfacial tension and the bending moduli—can be expressed as a fiinctional of the order parameter profiles across an interface [78]. These quantities can then be used as input for an even more coarse-grained description. [Pg.2381]

Figure 7-15. Healing and equilibration phase of a typical MD simulation, In the ideal case, the temperature should fluctuate around the desired value (here 298 K), and the potential energy should remain constant. Remember that the total energy is the sum of potential and kinetic energy, the latter being directly coupled to the temperature of the system,... Figure 7-15. Healing and equilibration phase of a typical MD simulation, In the ideal case, the temperature should fluctuate around the desired value (here 298 K), and the potential energy should remain constant. Remember that the total energy is the sum of potential and kinetic energy, the latter being directly coupled to the temperature of the system,...
In a canorrical ensemble the total temperature is constant. In the microcanonical ensemble, however, the temperature will fluctuate. The temperature is directly related to the kinetic energy of the system as follows ... [Pg.323]


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See also in sourсe #XX -- [ Pg.4 , Pg.238 ]

See also in sourсe #XX -- [ Pg.4 , Pg.238 ]




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