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Small parameter concept

The point is that this approach ignores the distinctive feature of the bi-molecular process - its non-equilibrium character. The fundamental result known in the theory of non-equilibrium systems [2, 3] is that they tend to become self-organised to a degree which could be characterised by the joint correlation functions, A (r, t) and Y(r, t). The idea to use n t)rQ as a small parameter were right, unless there are no other distinctive parameters of the same dimension as tq. [Pg.240]

As it was shown in Chapter 2, even the linear approximation demonstrates emergence of the distinctive scale factors increasing in time - the correlation lengths So, for the multipole interaction (4.1.44) there is no scale tq at all, whereas dimensionless parameter where is defined by [Pg.240]

In terms of mathematics (5.1.2) to (5.1.4) are nothing but generalized diffusion equations [Pg.241]

One has to distinguish between a direct creation of reactant correlations due to disappearance of some AB pairs and an indirect channel of correlation formation when one of partners of any AA, BB or AB pair recombines with surrounding particle. The former mechanism is taken into account through the [Pg.241]

The indirect mechanism of the correlation formation could be characterized by quite small q r,t) values entering equation (5.1.12). Thus in (5.1.2) and [Pg.242]


Molecularly motivated empiricisms, such as the solubility parameter concept, have been valuable in dealing with mixtures of weakly interacting small molecules where surface forces are small. However, they are completely inadequate for mixtures that involve macromolecules, associating entities like surfactants, and rod-like or plate-like species that can form ordered phases. New theories and models are needed to describe and understand these systems. This is an active research area where advances could lead to better understanding of the dynamics of polymers and colloids in solution, the rheological and mechanical properties of these solutions, and, more generally, the fluid mechaiucs of non-Newtonian liquids. [Pg.86]

Local parameter concept Styrikovich et al. (1960) studied the length effect on the critical heat flux at a constant exit quality with an 8-mm (0.3-in.) round tube at a pressure of 1,500 psia (10.2 MPa) operating in a stable system. Their measured CHF at various LID values (with accompanying Hm changes) are listed in Table 5.7. This can be considered a demonstration of small length effect and/or Hin effect... [Pg.411]

The analysis of ordinary differential equation (ODE) systems with small parameters e (with 0 < generally referred to as perturbation analysis or perturbation theory. Perturbation theory has been the subject of many fundamental research contributions (Fenichel 1979, Ladde and Siljak 1983), finding applications in many areas, including linear and nonlinear control systems, fluid mechanics, and reaction engineering (see, e.g., Kokotovic et al. 1986, Kevorkian and Cole 1996, Verhulst 2005). The main concepts of perturbation theory are presented below, following closely the developments in (Kokotovic et al. 1986). [Pg.11]

In the above considerations, the hydrophobic portions of both the membrane polymer and the small molecules that enter the membrane are expected to interact in the hydrophobic microphases in the membrane. It therefore becomes useful to find a numerical measure of the miscibility of these hydrophobic portions of molecules. In the case of complete molecules, both small and polymeric, the solubility parameter concept has been useful in the past. This concept is related to the enthalpy change which occurs on mixing in regular solution theory as developed by Hildebrand and coworkers (10) and as used for polymer solution theory by Flory (11). The Hildebrand solubility parameter is a measure of the attraction between molecules of the same kind, including dispersion forces, polar forces, and hydrogen bonding... [Pg.353]

In Chap.2 we introduced the concept of canonical bands based upon the KKR-ASA equations and used it to interpret energy bands calculated by the LMTO method. We did this because the KKR-ASA and LMTO-ASA methods are mathematically equivalent, as proven below. Specifically, we show that in a range around so narrow that the small parameter may be neglected the LMTO-ASA and KKR-ASA equations will lead to the same eigenvalues. [Pg.90]

In the case of strongly polar (ionic) forces or hydrogen bonds, the solubility parameter concept is of limited applicability. For example, the following pairs of solvents are only partially miscible despite the small difference in their solubility parameters ... [Pg.283]

Figure 8.7 Order parameter concept, (a) Molecular order (b) intramolecular (bonds) order (c) correlation between order and membrane thickness, dt, left, ordered membrane with little bond or molecule fluctuations (large dt, right, less ordered membrane with bond and molecule fast reorientations within the membrane (small db)... Figure 8.7 Order parameter concept, (a) Molecular order (b) intramolecular (bonds) order (c) correlation between order and membrane thickness, dt, left, ordered membrane with little bond or molecule fluctuations (large dt, right, less ordered membrane with bond and molecule fast reorientations within the membrane (small db)...
In Ref [114], an approach to the dynamics of ionic surfactant adsorption was developed, which is simpler as both concept and application, but agrees very well with the experiment. Analytical asymptotic expressions for the dynamic surface tension of ionic surfactant solutions are derived in the general case of nonstationary interfacial expansion. Because the diffusion layer is much wider than the EDL, the equations contain a small parameter. The resulting perturbation problem is singular and it is solved by means of the method of matched asymptotic expansions [115]. The derived general expression for the dynamic surface tension is simplified for two important special cases, which are considered in the following section. [Pg.271]

The application of a selective pyrolysis process to the recovery of chemicals from waste PU foam is described. The reaction conditions are controlled so that target products can be collected directly from the waste stream in high yields. Molecular beam mass spectrometry is used in small-scale experiments to analyse the reaction products in real time, enabling the effects of process parameters such as temperature, catalysts and co-reagents to be quickly screened. Fixed bed and fluidised bed reactors are used to provide products for conventional chemical analysis to determine material balances and to test the concept under larger scale conditions. Results are presented for the recycling of PU foams from vehicle seats and refrigerators. 12 refs. [Pg.79]

Thepresentinvestigationswerelargelymotivatedtoshowfheserial-screeningca-pabilities ofthe reactor concept used. The speed ofprocess-parameter changes, consumption of small volumes only, preciseness ofkinetic information, and ro-bustnessweremajormicroreactorpropertiesutilized. [Pg.340]

One of the best definitions is by Attilio Bisio (1) The successful startup and operation of a commercial size unit whose design and operating procedures are in part based on experimentation and demonstration at a smaller scale of operation. He also points out that Smith (2) argued in 1968 that the starting point for scaleup studies is the ultimate intended commercial unit. The professional should scaledown from the design parameters and constraints of that commercial unit so that the smaller scale experiments were most useful in reducing the uncertainties of the commercial run. Smith wrote that scaleup from small-scale studies is a misleading concept. [Pg.313]

The EPR spectrum is a reflection of the electronic structure of the paramagnet. The latter may be complicated (especially in low-symmetry biological systems), and the precise relation between the two may be very difficult to establish. As an intermediate level of interpretation, the concept of the spin Hamiltonian was developed, which will be dealt with later in Part 2 on theory. For the time being it suffices to know that in this approach the EPR spectrum is described by means of a small number of parameters, the spin-Hamiltonian parameters, such as g-values, A-values, and )-values. This approach has the advantage that spectral data can be easily tabulated, while a demanding interpretation of the parameters in terms of the electronic structure can be deferred to a later date, for example, by the time we have developed a sufficiently adequate theory to describe electronic structure. In the meantime we can use the spin-Hamiltonian parameters for less demanding, but not necessarily less relevant applications, for example, spin counting. We can also try to establish... [Pg.89]

The Cone calorimeter yields smoke results which have been shown to correlate with those from full scale fires [10, 15-18]. The concept of a combined heat and smoke release measurement variable for small scale tests has been put into mathematical terms for the cone calorimeter smoke parameter (SmkPar) [10]. It is the product of the maximum rate of heat release and the average specific extinction area (a measure of smoke obscuration). The correlation between this smoke parameter and the smoke obscuration in full scale tests has been found to be excellent [10]. The corresponding equation is ... [Pg.524]

Occasionally it is convenient to refer to the p function in (11.21), but generally the form (11.22) is used in robust M-estimation. The use of the t(r form is due to Hampel s concept of the influence function (Hampel et al., 1986). According to the IF concept, the value of it represents the effect of the residuals on the parameter estimation. If iff is unbounded, it means that an outlier has an infinite effect on the estimation. Thus, the most important requirement for robustness is that iff must be bounded and should have a small value when the residual is large. In fact, the value of the iff function corresponds to the gross error sensitivity (Hampel etal., 1986), which measures the worst (approximate) influence that a small amount of contamination of fixed size can have on the value of the estimator. [Pg.226]


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See also in sourсe #XX -- [ Pg.240 ]

See also in sourсe #XX -- [ Pg.240 ]




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