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Equation, Arrhenius growth

Effects of Rate Conditions. It is essential for commercial a-quartz crystals to have usable perfection growth at a high rate and at pressure and temperature conditions that allow economical equipment design. The dependence of rate on the process parameters has been studied (8,14) and may be summarized as follows. Growth rate depends on crystallographic direction the (0001) is one of the fastest directions. Because AS is approximately linear with AT, the growth rate is linear with AT. Growth rate has an Arrhenius equation dependence on the temperature in the crystallization zone ... [Pg.520]

The apparent activation energy of decomposition estimated from the Arrhenius plot for gave 120 kJ/mol. Conversely, Stander noticed that if the difference between the experimental dissociation pressures (e.g., 384 kPa) and the equilibrium (plateau) dissociation pressure corresponding to T = const (e.g., 404 kPa at T = 335°C for MgH ) is relatively small, then better fits were obtained with the model of random nucleation followed by one-dimensional growth or instantaneous nucleation followed by two-dimensional growth as given by the equation ... [Pg.93]

Erdey-Gruz and Volmer (2) derived the current-potential relationship in 1930 using the Arrhenius equation (1889) for the reaction rate constant and introduced the transfer coefficient. They also formulated the nucleation model of electrochemical crystal growth. [Pg.4]

Temperature is recognised as having an effect on the growth yield, the endogenous respiration rate and the Monod kinetic parameters Ks and pm. Within the temperature range of 25 to 40°C these have been shown to have dependencies which could be accounted for by Arrhenius-type exponential equations (Topiwala and Sin-CLAIR<52)). If the temperature-dependent nature of the constants has to be taken into account, equation 5.70 must be written as ... [Pg.351]

The layer-growth kinetics were found to be parabolic for both compounds (Fig. 2.18), indicative of diffusion control. This is an expectable result since the layer thickness varied from about 10 pm to 300 pm for the Al12Mg17 intermetallic compound and from about 80 pm to more than 900 pm for the Al3Mg2 intermetallic compound. Diffusional constants were calculated using parabolic equations of the type x2 = 2k t. The temperature dependence of the diffusional constants was found to obey the Arrhenius relation ... [Pg.115]

The two most important nucleation processes are continuous nucleation, that is, when the nucleation rate is temperature dependent according to an Arrhenius equation, and the site saturation process, that is, when all nuclei are present before the growth starts. The two growth processes normally considered are volume diffusion controlled and interface controlled. Finally, the process that interferes with growth is the hard impingement of homogeneously dispersed growing particles. [Pg.105]

Generally, the relationship between growth and temperature (approximated by the Arrhenius equation at suboptimal temperatures) is strain-dependent and shows a distinct optimum. Hence, temperature should be maintained at this level by closed loop control. Industry seems to be satisfied with a control precision of 0.4 K. [Pg.6]

Blaurock and Carothers (1990) and Blaurock and Wan (1990) described a simple way, valid for butteroil, of analyzing isothermal DSC data to characterize the kinetics of early crystallization in a supercooled oil. This approach yielded a single crystallization-temperature dependent combined nucleation/crystal growth constant (which they called NG). The temperature dependence of NG could be modeled with the Arrhenius equation. [Pg.738]

Fig. 2 presents the analysis based on OIT data and the linear extrapolation of these data to longer times. The time to reach depletion of the antioxidant system can thus be predicted even after relatively short testing times (see insert figure in Fig. 2). Data by Hassinen et al. (//) for the antioxidant concentration profiles taken from high-density polyethylene pipes exposed to chlorinated water (3 ppm chlorine) at different temperatures between 25 and 105°C followed the Arrhenius equation with an activation energy of 85 kJ mol (0-0.1 mm beneath inner wall surface) and 80 kJ mol (0.35-0.45 mm beneath the inner wall surface). It is thus possible to make predictions about the time for antioxidant depletion at service temperatures (20-40°C) by extrapolation of high temperature data. However, there is currently not a sufficient set of data to reveal the kinetics of polymer degradation and crack growth that would allow reliable extrapolation to room temperature. Fig. 2 presents the analysis based on OIT data and the linear extrapolation of these data to longer times. The time to reach depletion of the antioxidant system can thus be predicted even after relatively short testing times (see insert figure in Fig. 2). Data by Hassinen et al. (//) for the antioxidant concentration profiles taken from high-density polyethylene pipes exposed to chlorinated water (3 ppm chlorine) at different temperatures between 25 and 105°C followed the Arrhenius equation with an activation energy of 85 kJ mol (0-0.1 mm beneath inner wall surface) and 80 kJ mol (0.35-0.45 mm beneath the inner wall surface). It is thus possible to make predictions about the time for antioxidant depletion at service temperatures (20-40°C) by extrapolation of high temperature data. However, there is currently not a sufficient set of data to reveal the kinetics of polymer degradation and crack growth that would allow reliable extrapolation to room temperature.
Care should be taken in defining the procedure for calculating values of k fi om the experimental data. There is always the possibihty that the apparent is a compound term containing several individual rate coefficients for separable processes (such as nucleation and growth). It is important that the dimensions of k (and hence of A) should be (time). For example, the power law (Table 3.3.) should be written as = kt and not as ar = k t. Similarly the Avrami-Erofeev equation (An) is [-ln(l - a)Y = kt. The use of k in place of A in the Arrhenius equation will produce an apparent activation energy /i, which is n times the conventional activation energy obtained using k. [Pg.121]

At least three major interrelated aspects of kinetic behaviom are important in investigating dehydration reactions, (i) Kinetic equations based upon nucleation and growth models have been developed and found application to a wide range of reactants [31], (ii) Theoretical explanations of the magnitudes of calculated Arrhenius parameters have been proposed, (iii) The influence of water vapour pressure on reaction rates has been investigated in detail (the Smith-Topley effect). Topics (ii) and (iii) are expanded below,... [Pg.221]

Figure 6-17. (a) Roughness seating exponent vs inverse deposition temperature. Horizontal lines are the predictions of purely diffusional (dot-dashed) [58] and MBE growth [59] (b) correlation length vs inverse deposition T. Weighted best-fit Arrhenius equation is plotted as the solid line. Adapted from Ref. [57]. [Pg.173]

For any individual material, a number of variables determine the quality and rate of film growth. In general, the deposition rate increases with increased temperature and follows the Arrhenius equation (Eq. 5 2), where R is the deposition rate, is the activation energy, Tis the temperature (K), A is the frequency factor, and k is Boltzmann s constant (1.381 x 10" JK" ). [Pg.268]

The constants kg and kg are temperature-dependent and are usually fit to the Arrhenius equation to obtain a general expression for growth rate as a function of temperature. The Arrhenius equation can be written as... [Pg.58]

This equation is first order in [Ca ], [P04 ] and s. The average rate constant kf was determined to be 173 11 mof m sec The apparent Arrhenius activation energy was determined over a temperature range of 10 to 40°C to be 186 15 kJ mol Inskeep and Silvertooth (1988) speculated that the rate-limiting step is a surface process, specifically that it is the surface diffusion of Ca and PO4 ions and dehydration commensurate with binding at surface sites of incorporation. Using a constant-composition method and seeded solutions with Sha = 3.05-5.58 Koutsopoulos (2001) found hydroxylapatite formed without a precursor phase. The spiral growth model was found to best fit their kinetic data. [Pg.66]

The thermal growth of fast reactions in exothermic systems is described quantitatively by a three-dimensional heat-transfer equation which includes a factor for the rate of evolution of heat (taken for simplicity to have an Arrhenius dependence) ... [Pg.468]

It is also possible to divide the biomass into living and dead biomass and to include equations for temperature-related death. Arrhenius-type relationships can be used to describe the effect of temperature on both the specific growth rate and the specific death rate, giving a net growth rate [99] ... [Pg.87]

A slightly different approach was taken by Smits et al. [lOOj. Rather than describing the death of biomass itself, they incorporated an inactivation term into their equation relating oxygen uptake to growth. This corresponds to a decrease in specific respiration activity as a result of aging processes. The inactivation term was expressed as an Arrhenius function of temperature ... [Pg.87]

Equation (21) establishes a dependence of AG5 and AG on the radius of a nucleus (Figure 5), The sum of these two terms (i.e., AG) passes through a maximum that defines the critical size of a stable nucleus. The formation of a nucleus of a larger size would result in its spontaneous growth accompanied by a decrease in AG. The maximum value of AG is the energy barrier for the nucleation process, AG. The nucleation rate is commonly expressed in the Arrhenius form ... [Pg.512]

As diffusion is thermally activated, the growth rate in oxide film thickness during sliding as a function of temperature follows an Arrhenius equation... [Pg.50]

Arrhenius equation (seeEq. 41) but with different parameter values. Growth... [Pg.180]


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