Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Kinetic Parameters and Dynamics

Equation (5.48) relates the mobility b of the moving particles to the stochastic force F t) = B(t)-m. In essence, it states that the larger the correlation in F(t) (or ( )), the lower is the particle mobility b. [Pg.107]

We mention this result here in order to assert that the spectral distribution of B(jf is the Fourier transform of the (force) autocorrelation function 0(t). In view of Eqn. (5.45), we can restate this result in terms of the velocity t (/). The spectral distribution of the velocity autocorrelation function is directly related to the Fourier transform of 0 j), the force autocorrelation function. Thus, we see that the classical equation of motion when properly averaged over many particles provides insight into the relation between transport kinetics and particle dynamics [R. Becker (1966)]. [Pg.107]


Suffice it to say that a dynamic model of this system was proposed that allowed the estimation of kinetic parameters and gave reasonable agreement with the experimental observations in the bioreactor [22]. [Pg.562]

Kinetics is a macroscopic theory. Dynamics is particle physics. Statistical theory relates both fields and goes beyond statistical thermodynamics. It is not the aim of this book to enter the Field of statistical theory. However, a number of its concepts are needed for a correct understanding of kinetic parameters and for constructing appropriate models. In this sense, the following sections will be presented. [Pg.98]

A method for determining kinetic parameters from dynamic infrared data was developed to overcome the problems listed above (A). Through the use of constant temperature ramps, appropriate instrument software (6) (Sheen, C. W. Snyder, R. W. Computers Chemistry, in press) and spreadsheet techniques the activation energy and pre-exponential factor for any reacting system can be obtained in a few hours. When performing this dynamic kinetic analysis however there are some effects which must be accounted for... [Pg.53]

The kinetic parameters of dynamically cured blends are given in Table 21.6. K(T) was higher for the blends and maximum was observed for 20% epoxy containing blend. The slightly lower value for 30% blend showed that epoxy-rich particles restricted the mobility of PP segments above 20% epoxy content. The value of K(T) of the dynamically cured blends suggested that the crystallization was more dependent on the temperature. [Pg.633]

This chapter summarizes many of the contributions that the recoil technique of generating excited radiotracer atoms in the presence of a thermal environment is making to the field of chemical dynamics. Specific topics discussed critically include characterization of the generation and behavior of excited molecules including fragmentation kinetics and energy transfer, measurement of thermal and hot kinetic parameters, and studies of reaction mechanisms and stereochemistry as a function of reaction energy. Distinctive features that provide unique approaches to dynamical problems are evaluated in detail and the complementarity with more conventional techniques is addressed. Prospects for future applications are also presented. [Pg.123]

Kinetics studies and dynamic continuous-flow investigations offering information on the rate of adsorption, together with hydrodynamic parameters, are very important for adsorption process design. [Pg.99]

Deterministic optimization has been the common approach for batch distillation operation in previous studies. Since uncertainties exist, the results obtained by deterministic approaches may cause a high risk of constraint violations. In this work, we propose to use a stochastic optimization approach under chance constraints to address this problem. A new scheme for computing the probabilities and their gradients applicable to large scale nonlinear dynamic processes has been developed and applied to a semibatch reactive distillation process. The kinetic parameters and the tray efficiency are considered to be uncertain. The product purity specifications are to be ensured with chance constraints. The comparison of the stochastic results with the deterministic results is presented to indicate the robustness of the stochastic optimization. [Pg.551]

Detailed kinetic studies of the thermal imidisation of polyisoimide by DSC are described. Both isothermal and dynamic methods were used to obtain kinetic parameters and a phenomenological rate equation for estimating the degree of imidisation as a function of time. 15 refs. KOREA... [Pg.48]

Dynamic DSC scans of resole resins show two distinguishable reaction peaks, which correspond to formaldehyde addition and die formation of edier and metiiy-lene bridges characterized by different activation energies. Kinetic parameters calculated using a regression analysis show good agreement widi experimental values.75... [Pg.409]

In this article, a dynamic reaction kinetics for propylene epoxidation on Au/Ti02 is presented. Au/Ti02 catalyst is prepared and kinetics experiments are carried out in a tube reactor. Kinetic parameters are determined by fitting the experiments under different temperatures, and the reliability of the proposed kinetics is verified by experiments with different catalyst loading. [Pg.334]

In the perspective discussed in the present contribution, bundle formation occurs within the amorphous phase and in undercooled polymer solutions. It does not imply necessarily a phase separation process, which, however, may occur by bundle aggregation, typically at large undercoolings [mode (ii)]. In this case kinetic parameters relating to chain entanglements and to the viscous drag assume a paramount importance. Here again, molecular dynamics simulations can be expected to provide important parameters for theoretical developments in turn these could orient new simulations in a fruitful mutual interaction. [Pg.123]

Thus, cyclic or linear sweep voltammetry can be used to indicate whether a reaction occurs, at what potential and may indicate, for reversible processes, the number of electrons taking part overall. In addition, for an irreversible reaction, the kinetic parameters na and (i can be obtained. However, LSV and CV are dynamic techniques and cannot give any information about the kinetics of a typical static electrochemical reaction at a given potential. This is possible in chronoamperometry and chronocoulometry over short periods by applying the Butler Volmer equations, i.e. while the reaction is still under diffusion control. However, after a very short time such factors as thermal... [Pg.180]


See other pages where Kinetic Parameters and Dynamics is mentioned: [Pg.107]    [Pg.107]    [Pg.109]    [Pg.111]    [Pg.113]    [Pg.115]    [Pg.107]    [Pg.107]    [Pg.109]    [Pg.111]    [Pg.113]    [Pg.115]    [Pg.118]    [Pg.276]    [Pg.233]    [Pg.72]    [Pg.227]    [Pg.174]    [Pg.531]    [Pg.195]    [Pg.1222]    [Pg.689]    [Pg.71]    [Pg.333]    [Pg.274]    [Pg.104]    [Pg.104]    [Pg.1289]    [Pg.2652]    [Pg.22]    [Pg.23]    [Pg.383]    [Pg.470]    [Pg.171]    [Pg.36]    [Pg.518]    [Pg.129]    [Pg.397]    [Pg.292]    [Pg.115]    [Pg.354]    [Pg.205]    [Pg.67]    [Pg.896]   


SEARCH



Dynamic parameters

Kinetic dynamic

Kinetic parameters

Kinetics and dynamics

Kinetics parameters

© 2024 chempedia.info