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- Determination of Steady State Creep Rates and Activation
- Single-step methods for calculating activation parameters from raw
- ACTIVATION PARAMETERS FOR THE u CLEAVAGE OF
Determination of Steady State Creep Rates and Activation
The enzymic reactions of ectothermic (cold-blooded) species differ from those of avian and mammalian species in terms of the magnitudes of the three thermodynamic activation parameters, the free energy of activation (DeltaG()), the enthalpy of activation (DeltaH()), and the entropy of activation (DeltaS()). Ectothermic enzymes are more efficient than the homologous enzymes of birds and mammals in reducing the DeltaG() energy barrier to a chemical reaction. Moreover, the relative importance of the enthalpic and entropic contributions to DeltaG() differs between these two broad classes of organisms.
Single-step methods for calculating activation parameters from raw
Based on experimental data of viscosities for some pure solvents and about 89 Newtonian binary liquid mixtures over different temperature ranges at atmospheric pressure reported in the literature [ 66, 95 – 76 ], we have determined values of the two viscosity Arrhenius parameters such as the activity energy ( ) and the entropic factor ( ) for 75 sets of the pure liquid components constituting the precedent binary mixtures at infinite dilution (., at molar fraction equal to 5 or 6). Practically all of them obey the linear Arrhenius behavior.
ACTIVATION PARAMETERS FOR THE u CLEAVAGE OF
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where E a is the activation energy for the reaction, T is the absolute temperature (in Kelvin) at which a corresponding k is determined, R is the gas constant, and A is a pre-exponential factor. The activation energy may then be extracted from a plot of ln k vs. 6/T, which should be linear. This plot is called an Arrhenius plot.
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Using the following data, construct an Arrhenius plot and determine the activation energy (in both kcal/mol and kJ/mol) and the pre-exponential factor.
Due to the complex aspect of fluids, several theoretical methods for estimating viscosity are suggested in the literature [ 66 ]. Among these theories, we can cite the distribution function theory proposed by Kirkwood et al. [ 67 ], the molecular dynamic approach reported by Cummings and Evans [ 68 ], and the reaction rate theory of Eyring [ 69 – 76 ]. Generally, empirical and semiempirical methods provide reasonable results but they lack generality of approach, especially near or above the boiling temperature [ 66 ]. Hence, experimental data available in literature show that the liquid viscosity decreases with absolute temperature in nonlinear and concave fashion, and it is slightly dependent on low pressure.
Available data of transport properties of liquids are essential for mass and heat flow. As it is one of the important properties of fluids, liquid viscosity needs to be measured or estimated given that it influences the cases of design, handling, operation of mixing, transport, injection, combustion efficiency, pumping, pipeline, atomization and transportation, and so forth. The characteristics of liquid flow depend on viscosity which is affected principally by temperature and pressure.