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Arrhenius fitting curve

Fig. 4.20 Temperature dependence of the average relaxation times of PIB results from rheological measurements [34] dashed-dotted line), the structural relaxation as measured by NSE at Qmax (empty circle [125] and empty square), the collective time at 0.4 A empty triangle), the time corresponding to the self-motion at Q ax empty diamond),NMR dotted line [136]), and the application of the Allegra and Ganazzoli model to the single chain dynamic structure factor in the bulk (filled triangle) and in solution (filled diamond) [186]. Solid lines show Arrhenius fitting curves. Dashed line is the extrapolation of the Arrhenius-like dependence of the -relaxation as observed by dielectric spectroscopy [125]. (Reprinted with permission from [187]. Copyright 2003 Elsevier)... Fig. 4.20 Temperature dependence of the average relaxation times of PIB results from rheological measurements [34] dashed-dotted line), the structural relaxation as measured by NSE at Qmax (empty circle [125] and empty square), the collective time at 0.4 A empty triangle), the time corresponding to the self-motion at Q ax empty diamond),NMR dotted line [136]), and the application of the Allegra and Ganazzoli model to the single chain dynamic structure factor in the bulk (filled triangle) and in solution (filled diamond) [186]. Solid lines show Arrhenius fitting curves. Dashed line is the extrapolation of the Arrhenius-like dependence of the -relaxation as observed by dielectric spectroscopy [125]. (Reprinted with permission from [187]. Copyright 2003 Elsevier)...
Arrhenius fitting curves of leaching of nickel and iron are shown in Fig.6, and the activation energies of nickel and iron are 46.1kJ/mol and 38.7kJ/mol, respectively. [Pg.122]

Figure 6. Arrhenius fitting curves of leaching of Ni (A) and Fe (B) Conclusions... [Pg.123]

Fig. 7.6 a Arrhenius fitting curves about reciprocal temperature dependence of ionic conductivity of different composite gel polymer electrolytes (frequency range from 0.1 to 100 kHz, amplitude of 5 mV) Schematic representation of ionic conduction channel in CGPEs (or GPE) b pure PVDF, c PVDF/Si02, and d PVDF/Si02-PAALi. Reproduced with permission from Ref. [66] Copyright 2014 Elsevier... [Pg.211]

Figure 9.11 represents the MMT content-dependent (wt%) flow activation energy (Ea) of pure PLA and various PLANCs obtained from an Arrhenius fit of the master curves [47]. It is clearly observed that the Ea value increases significantly for the nanocomposite containing 3 wt% MMT and then is almost unchanged with increasing MMT content. This result indicates that, in the presence of MMT, it is very difficult for the materials to flow. This behavior is also ascribed to the formation of a spatially linked structure in the nanocomposite in the molten state. [Pg.288]

The degree of life acceleration that this test represents is uncertain. Fitting data to a temperature dependent first-order exponential (Arrhenius) failure curve is often inaccurate due to initial model assumptions. Depending upon the estimate of activation energies used, and the criteria used to define failure, an... [Pg.311]

Conwell is that the activation energy for combined diagonal and off-diagonal disorder is larger than values obtained where only diagonal or off-diagonal disorder occur. The results are illustrated in Fig. 26. For all curves, w = 0. The activation energies were determined by an Arrhenius fit to the data points at T = 200, 250, and 300 K. [Pg.322]

The other computed parameters (kg and k,) are presented in Figure 3 as Arrhenius plots. The fitting curves obtained with the computed parameters are included in Figures 1 and 2. [Pg.803]

Figure 2 shows experimental data points for the catalyzed ABA homopolymer system at different temperatures and fitting curves according to equation 13. This figure also indicates that the reaction rate model is adequate. Rate constants and activation energies are listed in Table 1. It is obvious that the catalyst sodium acetate plays a very marginal role. Arrhenius plots for catalyzed and uncatalyzed ABA homopolyesterification reaction is indicated in Figure 3. Kinetics in systems comprising 80 to 90% of ABA were also studied and evaluated according to equation 13 both for uncatalyzed and catalyzed reactions. Figure 2 shows experimental data points for the catalyzed ABA homopolymer system at different temperatures and fitting curves according to equation 13. This figure also indicates that the reaction rate model is adequate. Rate constants and activation energies are listed in Table 1. It is obvious that the catalyst sodium acetate plays a very marginal role. Arrhenius plots for catalyzed and uncatalyzed ABA homopolyesterification reaction is indicated in Figure 3. Kinetics in systems comprising 80 to 90% of ABA were also studied and evaluated according to equation 13 both for uncatalyzed and catalyzed reactions.
Fig. 5. 27 An Arrhenius plot of the correlation times from two-dimensional exchange spectra of polyisoprene deuterated at the methyl groups. The significance of the fitted curve is explained in section 7.5.2. (Adapted by permission of the American Institute of Physics.)... Fig. 5. 27 An Arrhenius plot of the correlation times from two-dimensional exchange spectra of polyisoprene deuterated at the methyl groups. The significance of the fitted curve is explained in section 7.5.2. (Adapted by permission of the American Institute of Physics.)...
We have previously reported a break in similar Arrhenius plots at a lower temperature (1). Our previous analysis did not properly take into account the behavior of the iron-sulfur center as reductant to the c cytochromes. Furthermore, the rate constants calculated from the overall fitting were underestimates of the true values, especially below 20 C, since the initial rising phase of fitting curve had to be reduced to compensate for the lag period in the bjj reduction kinetics. Therefore the rate constants obtained from the overall fitting are hardly valid. [Pg.2189]

Figure 1 indicates the experimental data points at three different temperatures and fitting curves according to equation (6) for PBT 50/(HQDA + TA) 50. The reaction rate is also adequately modeled by second-order kinetics for catalyzed reactions (Figure 2). Figures 3 is a typical figure indicating that the model adheres well to the experimental data analyzed for different catalyst concentrations. A typical Arrhenius plot is shown in Figure 4. As seen in the plot the experimental data can be adequately modeled by equation (6). Figure 1 indicates the experimental data points at three different temperatures and fitting curves according to equation (6) for PBT 50/(HQDA + TA) 50. The reaction rate is also adequately modeled by second-order kinetics for catalyzed reactions (Figure 2). Figures 3 is a typical figure indicating that the model adheres well to the experimental data analyzed for different catalyst concentrations. A typical Arrhenius plot is shown in Figure 4. As seen in the plot the experimental data can be adequately modeled by equation (6).
Figure 3.1.2 Molar conductivity versus composition of molten xZnBr2-(1-x)LiBr system at 850 K. Each point represents an expected value from the Arrhenius-type fitting curve in Figure 3.1.1. Solid line indicates the third polynomial curve... Figure 3.1.2 Molar conductivity versus composition of molten xZnBr2-(1-x)LiBr system at 850 K. Each point represents an expected value from the Arrhenius-type fitting curve in Figure 3.1.1. Solid line indicates the third polynomial curve...
Figure 7.18 Horizontal shift factors for the UHIVIWPE at various temperatures compared against Arrhenius equation curve fitting. From [12]. Figure 7.18 Horizontal shift factors for the UHIVIWPE at various temperatures compared against Arrhenius equation curve fitting. From [12].
Activation energies are found from the Arrhenius equation (Eq. 13). We plot In k against 1/T, with T in kelvins, and multiply the slope of the graph by — R to find the activation energy, with R = 8.3145 J-K 1-mol l. A spreadsheet, curve-fitting program,... [Pg.676]

Alternatively, in the absence of curve-fitting software, the equation can be re-written in a straight line form and then the same linear regression method, as for the Arrhenius method, used to find the coefficients. The straight line form is given by ... [Pg.106]

Fig. 2.4 (a) Absorption kinetic curves of unmilled but activated and cycled ABCR powder and (b) estimate of apparent activation energy of absorption from the Arrhenius plot of In k vs. IRT using data for aU four temperatures 250, 275, 300, and 325°C E 65 kJ/mol). Coefficient of fit = 0.997... [Pg.89]

Fig. 2.6 (a) Desorption kinetic curves at various temperatures under initial hydrogen pressure of 0.1 MPa of the as-received, nonactivated, commercial MgH powder Tego Magnan and (b) the Arrhenius plot of the desorption rate for the estimate of the apparent activation energy, fi, using kinetics data for four temperatures 350, 375, 400, and 420°C (fi -120 kJ/mol). Coefficient of fit = 0.996... [Pg.94]

Powder Apparent activation energy of desorption, (kJ/mol) Coefficient of fit in the Arrhenius equation Kinetic curves at temperatures taken for calculation (°C) Activation... [Pg.100]

The QRRK rate constant in Fig. 10.7 certainly fits the experimental data well. However, this is to be expected given the origin of the parameters in the model. Specifically, the high-pressure Arrhenius parameters were obtained from fits to the experimental data. The number of oscillators was taken as an adjustable parameter, as was the collision cross section used in ks. Thus the QRRK curve in Fig. 10.7 should match the experiment in the high-pressure limit, and two parameters were varied to enable a fit to the pressure fall-off behavior. [Pg.431]


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