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Reaction rate analysis

For the reduction of chemical mechanisms, reaction-rate analysis has probably the largest record of success. A novel way for the inspection of rates is based on the study of algebraic-rate sensitivities and the Jacobian matrix. These methods can be used for the automatic identification of redundant species and reactions, to produce a reduced mechanism consisting of a subset of the original mechanism. The use of algebraic manipulation in techniques such as the QSSA and lumping, make the production of a reduced mechanism essential and make subsequent calculations as simple as possible. [Pg.420]

T. Turanyi, T. Berces and S. Vajda, Reaction Rate Analysis of Complex Kinetics Systems, Int. J. Chem. Kinet. 21 (1989) 83-99. [Pg.429]

Flow and Reaction Rate Analysis for a Column Reactor, 512... [Pg.495]

A simple case of a batch reactor will be explained briefly. If the powder is mixed well in a container or pasted on a wall (case a), the reaction proceeds continuously throughout the solid particle. If most of the primary particles have similar diameter, the reaction proceeds at the same rate for all the particles. Under such conditions, the reaction rate analysis is rather simple, and two idealized models have been presented continuous reaction model and unreacted core model. For the former case. [Pg.511]

FLOW AND REACTION RATE ANALYSIS FOR A COLUMN REACTOR... [Pg.512]

In this work, we address the problem of partitioning De Donder relations into contributions associated with different types of reactions from the point of view of the theory of reaction routes, or mechanisms. Thus, derivation of reduced routes allows reaction rate analysis in terms of the QSS, RDS and QE formalisms. [Pg.123]

CARRA CARRA, for chemically activated reaction rate analysis, calculates apparent rate constants for multi-well, multi-channel systems based on QRRK theory. It uses either the MSC (CAR-RA MSC) or the steady-state ME (CARRA ME) approach. The original concept was based on a single frequency representation of the active modes of each isomer [35,36]. Later, the code was updated to handle three representative frequencies. Descriptions of these earlier versions as well as applications can be found in Refs. [7,37]. CARRA is a modihed version of these older codes, which is currently still under development [38]. [Pg.137]

The next step in analyzing a reaction mechanism, with an eye toward identifying dehciencies and refining the mechanism, is to examine the rates of individual reactions in the mechanism and the dependence of species concentrations on the rates of individual reactions. We will continue with the Al-H-Cl chemistry to illustrate this, first via the straightforward reaction rate analysis, followed by the somewhat more involved sensitivity analysis, which identifies which reaction rate parameters are most important in determining particular species concentrations. [Pg.232]

Choi, K. Y., Chung, J. S., Woo, B. G., Hong, M. H. Kinetics of slurry phase polymerization of styrene with pentamethyl cyclopentadienyl titanium trimethoxide and methyl aluminoxane. I. Reaction rate analysis. J. Appl. Polym. Sci., 88, 2132-2137 (2003). [Pg.153]

Many additional refinements have been made, primarily to take into account more aspects of the microscopic solvent structure, within the framework of diffiision models of bimolecular chemical reactions that encompass also many-body and dynamic effects, such as, for example, treatments based on kinetic theory [35]. One should keep in mind, however, that in many cases die practical value of these advanced theoretical models for a quantitative analysis or prediction of reaction rate data in solution may be limited. [Pg.845]

Because of the general difficulty encountered in generating reliable potentials energy surfaces and estimating reasonable friction kernels, it still remains an open question whether by analysis of experimental rate constants one can decide whether non-Markovian bath effects or other influences cause a particular solvent or pressure dependence of reaction rate coefficients in condensed phase. From that point of view, a purely... [Pg.852]

The practical goal of EPR is to measure a stationary or time-dependent EPR signal of the species under scrutiny and subsequently to detemiine magnetic interactions that govern the shape and dynamics of the EPR response of the spin system. The infomiation obtained from a thorough analysis of the EPR signal, however, may comprise not only the parameters enlisted in the previous chapter but also a wide range of other physical parameters, for example reaction rates or orientation order parameters. [Pg.1563]

The earliest examples of analytical methods based on chemical kinetics, which date from the late nineteenth century, took advantage of the catalytic activity of enzymes. Typically, the enzyme was added to a solution containing a suitable substrate, and the reaction between the two was monitored for a fixed time. The enzyme s activity was determined by measuring the amount of substrate that had reacted. Enzymes also were used in procedures for the quantitative analysis of hydrogen peroxide and carbohydrates. The application of catalytic reactions continued in the first half of the twentieth century, and developments included the use of nonenzymatic catalysts, noncatalytic reactions, and differences in reaction rates when analyzing samples with several analytes. [Pg.623]

Noncatalytic Reactions Chemical kinetic methods are not as common for the quantitative analysis of analytes in noncatalytic reactions. Because they lack the enhancement of reaction rate obtained when using a catalyst, noncatalytic methods generally are not used for the determination of analytes at low concentrations. Noncatalytic methods for analyzing inorganic analytes are usually based on a com-plexation reaction. One example was outlined in Example 13.4, in which the concentration of aluminum in serum was determined by the initial rate of formation of its complex with 2-hydroxy-1-naphthaldehyde p-methoxybenzoyl-hydrazone. ° The greatest number of noncatalytic methods, however, are for the quantitative analysis of organic analytes. For example, the insecticide methyl parathion has been determined by measuring its rate of hydrolysis in alkaline solutions. [Pg.638]

Selectivity The analysis of closely related compounds, as we have seen in earlier chapters, is often complicated by their tendency to interfere with one another. To overcome this problem, the analyte and interferent must first be separated. An advantage of chemical kinetic methods is that conditions can often be adjusted so that the analyte and interferent have different reaction rates. If the difference in rates is large enough, one species may react completely before the other species has a chance to react. For example, many enzymes selectively cat-... [Pg.640]

Malmstadt, H. V. Delaney, C. J. Cordos, E. A. Reaction-Rate Methods of Chemical Analysis, Crit. Rev. Anal. Chem. 1972, 2, 559-619. [Pg.664]

The analysis of steady-state and transient reactor behavior requires the calculation of reaction rates of neutrons with various materials. If the number density of neutrons at a point is n and their characteristic speed is v, a flux effective area of a nucleus as a cross section O, and a target atom number density N, a macroscopic cross section E = Na can be defined, and the reaction rate per unit volume is R = 0S. This relation may be appHed to the processes of neutron scattering, absorption, and fission in balance equations lea ding to predictions of or to the determination of flux distribution. The consumption of nuclear fuels is governed by time-dependent differential equations analogous to those of Bateman for radioactive decay chains. The rate of change in number of atoms N owing to absorption is as follows ... [Pg.211]

The two dashed lines in the upper left hand corner of the Evans diagram represent the electrochemical potential vs electrochemical reaction rate (expressed as current density) for the oxidation and the reduction form of the hydrogen reaction. At point A the two are equal, ie, at equiUbrium, and the potential is therefore the equiUbrium potential, for the specific conditions involved. Note that the reaction kinetics are linear on these axes. The change in potential for each decade of log current density is referred to as the Tafel slope (12). Electrochemical reactions often exhibit this behavior and a common Tafel slope for the analysis of corrosion problems is 100 millivolts per decade of log current (1). A more detailed treatment of Tafel slopes can be found elsewhere (4,13,14). [Pg.277]

Experimental analysis involves the use of thermal hazard analysis tests to verify the results of screening as well as to identify reaction rates and kinetics. The goal of this level of testing is to provide additional information by which the materials and processes may be characterized. The decision on the type of experimental analysis that should be undertaken is dependent on a number of factors, including perceived hazard, planned pilot plant scale, sample availability, regulations, equipment availability, etc. [Pg.25]

The well-known difficulty with batch reactors is the uncertainty of the initial reaction conditions. The problem is to bring together reactants, catalyst and operating conditions of temperature and pressure so that at zero time everything is as desired. The initial reaction rate is usually the fastest and most error-laden. To overcome this, the traditional method was to calculate the rate for decreasingly smaller conversions and extrapolate it back to zero conversion. The significance of estimating initial rate was that without any products present, rate could be expressed as the function of reactants and temperature only. This then simplified the mathematical analysis of the rate fianction. [Pg.29]

If the rate law depends on the concentration of more than one component, and it is not possible to use the method of one component being in excess, a linearized least squares method can be used. The purpose of regression analysis is to determine a functional relationship between the dependent variable (e.g., the reaction rate) and the various independent variables (e.g., the concentrations). [Pg.171]

Figure 12-11. Self-heat rate analysis. ARC data are shown along with a fitted model obtained by assuming the following kinetic parameters reaction order = 1, activation energy = 31.08 kcal/mol, and frequency factor = 2.31 El 2 min ... Figure 12-11. Self-heat rate analysis. ARC data are shown along with a fitted model obtained by assuming the following kinetic parameters reaction order = 1, activation energy = 31.08 kcal/mol, and frequency factor = 2.31 El 2 min ...
Fig. 7.10. The solid state reactivity of shock-modified zirconia with lead oxide as studied with differential thermal analysis (DTA) shows both a reduction in onset temperature and apparent increase in reaction rate. The shock-modified material has a behavior much like the much higher specific surface powder shown in B (after Hankey et al. [82H01]). Fig. 7.10. The solid state reactivity of shock-modified zirconia with lead oxide as studied with differential thermal analysis (DTA) shows both a reduction in onset temperature and apparent increase in reaction rate. The shock-modified material has a behavior much like the much higher specific surface powder shown in B (after Hankey et al. [82H01]).
Chemical themiodynamics provides tlie answer to tlie first question however, it provides information about tlie second. Reaction rates fall witliin tlie domain of chemical kinetics and are treated later in tliis section. Both equilibrium and kinetic effects must be considered in an overall engineering analysis of a chemical reaction. [Pg.123]

Chemical kinetics involves the study of reaction rates and the variables tliat affect these rates. It is a topic that is critical for the analysis of reacting systems. The objective in tliis sub-section is to develop a working understanding of tliis subject that will penuit us to apply chemical kinetics principles in tlie tu ea of safety. The topic is treated from an engineering point of view, tliat is, in temis of physically measurable quantities. [Pg.124]


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See also in sourсe #XX -- [ Pg.512 ]

See also in sourсe #XX -- [ Pg.232 ]




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