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Obtaining data diffusion

According to this method, it is not necessaiy to investigate the kinetics of the chemical reactions in detail, nor is it necessary to determine the solubihties or the diffusivities of the various reactants in their unreacted forms. To use the method for scaling up, it is necessaiy independently to obtain data on the values of the interfacial area per unit volume a and the physical mass-transfer coefficient /c for the commercial packed tower. Once these data have been measured and tabulated, they can be used directly for scahng up the experimental laboratory data for any new chemic ly reac ting system. [Pg.1366]

The diffusivity of the vapour of a volatile liquid in air can be conveniently determined by Winkelmann s method, in which liquid is contained in a narrow diameter vertical tube maintained at a constant temperature, and an air stream is passed over the top of the tube sufficiently rapidly to ensure that the partial pressure of the vapour there remains approximately zero. On the assumption that the vapour is transferred from the surface of the liquid to the air stream by molecular diffusion, calculate the diffusivity of carbon tetrachloride vapour in air at 321 K and atmospheric pressure from the following experimentally obtained data ... [Pg.854]

Hence, a series of measurements with several Tcp values will provide a data set with variable decays due to both diffusion and relaxation. Numerical inversion can be applied to such data set to obtain the diffusion-relaxation correlation spectrum [44— 46]. However, this type of experiment is different from the 2D experiments, such as T,-T2. For example, the diffusion and relaxation effects are mixed and not separated as in the PFG-CPMG experiment Eq. (2.7.6). Furthermore, as the diffusion decay of CPMG is not a single exponential in a constant field gradient [41, 42], the above kernel is only an approximation. It is possible that the diffusion resolution may be compromised. [Pg.169]

Secondly, because the solution is deliberately stirred during a convective measurement, the analytical data are generally more reproducible than those obtained from diffusion-controlled measurements, thereby improving the precision. [Pg.200]

Actually, Taylor originally suggested using this formula in reverse for obtaining diffusion coefficients. Di, could be found simply from experimental data and then the formula could be used to obtain the diffusivity, D. [Pg.135]

It is shown elsewhere (Section 7.9.2) that an approximate numerical formula for this limiting diffusion current iL is iL = 0.02 nc, where n is the number of electrons used in one step of the overall reaction in the electrode and c is the concentration of the reactant in moles liter-1. Hence, at 0.01 M, and n = 2, say, iL = 0.4 mA cm-2—a current density less than may be desirable for many purposes. The problem is how to increase this diffusion-controlled limiting current density and obtain data on the interfacial reaction free of interference by transport at increasingly high current densities. [Pg.380]

C. Wagner. The evaluation of data obtained with diffusion couples of binary singlephase and multiphase systems // Acta Metall- 1969 - V.17, No.2.- P.99-107. [Pg.279]

The results show that the specificities of catalyst deactivation and it s kinetic description are in closed connection with reaction kinetics of main process and they form a common kinetic model. The kinetic nature of promotor action in platinum catalysts side by side with other physicochemical research follows from this studies as well. It is concern the increase of slow step rate, the decrease of side processes (including coke formation) rate and the acceleration of coke transformation into methane owing to the increase of hydrogen contents in coke. The obtained data can be united by common kinetic model.lt is desirable to solve some problems in describing the catalyst deactivation such as the consideration of coke distribution between surfaces of metal, promoter and the carrier in the course of reactions, diffusion effects etc,. [Pg.548]

Oxygen transport measurements were conducted at 25°C, 0% and 50% relative humidity RH, 1 atm partial oxygen pressure difference using the commercially manufactured diffusion apparatus OX-TRAN 2/20 (Modem Control Inc.). This apparatus employs a continuous-flow method (ASTM-D 3985-81) to measure oxygen flux, J(t), through polymer films or thin sheets. In order to obtain the diffusion coefficient and to accurately determine the permeability coefficient, the data, flux, J(t), were fitted to the solution of Fick s second law ... [Pg.49]

Fig. 5 Comparison of mid-infrared spectra of caffeine obtained by diffuse reflectance and transmission spectroscopy. (A) Diffuse reflectance spectrum of the pure powdered substance with transformed intensity data in K-M units. (B) Same diffuse reflectance spectrum, but using —log(i ) transformation (top trace), the lower spectral range was limited by the cut-off of the MCT detector used the bottom trace shows a transmission spectrum using the conventional KBr pellet technique transformed into absorbance, i.e., —log(transmittance). Fig. 5 Comparison of mid-infrared spectra of caffeine obtained by diffuse reflectance and transmission spectroscopy. (A) Diffuse reflectance spectrum of the pure powdered substance with transformed intensity data in K-M units. (B) Same diffuse reflectance spectrum, but using —log(i ) transformation (top trace), the lower spectral range was limited by the cut-off of the MCT detector used the bottom trace shows a transmission spectrum using the conventional KBr pellet technique transformed into absorbance, i.e., —log(transmittance).
Different experimental approaches for the application of NMR spectroscopy to dispersed nanoparticles are summarized and briefly discussed regarding their specific advantages and disadvantages. A general numeric approach for the analysis of the obtained data is introduced which accounts for rotational and lateral diffusion of the particles in a fluid medium. The applicability of the NMR experiments together with the numerical analysis of the resulting spectra is demonstrated on various examples which cover the particle structure, phase transitions, decomposition pathways, molecular exchange at phase boundaries, and release processes. [Pg.205]

Figure 12.7 shows values of xy calculated in two different ways as a function of temperature for panicles of dilTerent. size. One set of curves (solid lines) was calculated front the phenomenological relationships (12.5) and (12.6). For the solid particles (low temperature). MD simulations were used to obtain the diffusion coefficient and surface tension that appear in (12.6). For the liquid-like particles (high temperature), data for the viscosity and surface tension that appear in (12.5) were obtained from experimental results reported in the literature. The dashed lines in Fig. 12.7 were calculated directly from MD simulations of the decrease in the moment of inertia of two coalescing spheres. [Pg.342]

Since the insolubility of the solid polymer precluded any ultraviolet studies in solution, attempts were made to obtain a diffuse reflectance spectrum of the solid. Meaningful data could not be obtained. Again, however, the liquid polymer could be compared with authentic polystyrene. Figure 4 shows the ultraviolet spectra of the two materials. Although the resolution is poor for the liquid polymer, its spectrum generally agrees with that of polystyrene. [Pg.350]


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See also in sourсe #XX -- [ Pg.61 , Pg.62 ]




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Diffusivity data

Obtaining data

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