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Conductivity diffusive

Because it was not possible to explain the differences in the effectiveness of hydrogen as compared to other gases on the basis of differences in their physical properties, ie, thermal conductivity, diffusivity, or heat capacity differences, their chemical properties were explored. To differentiate between the hydrogen atoms in the C2H2 molecules and those injected as the quench, deuterium gas was used as the quench. The data showed that although 90% of the acetylene was recovered, over 99% of the acetylene molecules had exchanged atoms with the deuterium quench to form C2HD and... [Pg.383]

While electrical conductivity, diffusion coefficients, and shear viscosity are determined by weak perturbations of the fundamental diffu-sional motions, thermal conductivity is dominated by the vibrational motions of ions. Heat can be transmitted through material substances without any bulk flow or long-range diffusion occurring, simply by the exchange of momentum via collisions of particles. It is for this reason that in liquids in which the rate constants for viscous flow and electrical conductivity are highly temperature dependent, the thermal conductivity remains essentially the same at lower as at much higher temperatures and more fluid conditions. [Pg.121]

The electroneutrality condition decreases the number of independent variables in the system by one these variables correspond to components whose concentration can be varied independently. In general, however, a number of further conditions must be maintained (e.g. stoichiometry and the dissociation equilibrium condition). In addition, because of the electroneutrality condition, the contributions of the anion and cation to a number of solution properties of the electrolyte cannot be separated (e.g. electrical conductivity, diffusion coefficient and decrease in vapour pressure) without assumptions about individual particles. Consequently, mean values have been defined for a number of cases. [Pg.14]

The ideal HPLC detector should have the same characteristics as those required for GC detectors, i.e. rapid and reproducible response to solutes, a wide range of linear response, high sensitivity and stability of operation. No truly universal HPLC detector has yet been developed but the two most widely applicable types are those based on the absorption of UV or visible radiation by the solute species and those which monitor refractive index differences between solutes dissolved in the mobile phase and the pure mobile phase. Other detectors which are more selective in their response rely on such solute properties as fluorescence, electrical conductivity, diffusion currents (amperometric) and radioactivity. The characteristics of the various types of detector are summarized in Table 4.14. [Pg.127]

Furthermore, we will take all other properties as constant and independent of temperature. Due to the high temperatures expected, these assumptions will not lead to accurate quantitative results unless we ultimately make some adjustments later. However, the solution to this stagnant layer with only pure conduction diffusion will display the correct features of a diffusion flame. Aspects of the solution can be taken as a guide and to give insight into the dynamics and interaction of fluid transport and combustion, even in complex turbulent unsteady flows. Incidentally, the conservation of momentum is implicitly used in the stagnant layer model since ... [Pg.236]

In the final, hydrodynamic stage, the system is described by the density, the average velocity, and the local temperature and evolves towards equilibrium by means of the effect of transport phenomena (conductivity, diffusion, viscosity,. . . ). This takes place in times of the order of the hydrodynamic time rh,... [Pg.323]

Carbon fiber or graphite fiber materials, available, for example, as felt, clothes, or paper, and so on, are state of the art for realizing conductive diffusion zones in fuel cells but also they can be used as electrodes. They attain a very high porosity (free space volume up to 80%) and a surprisingly good elasticity. [Pg.43]

Such a mechanism is not incompatible with a Haven ratio between 0.3 and 0.6 which is usually found for mineral glasses (Haven and Verkerk, 1965 Terai and Hayami, 1975 Lim and Day, 1978). The Haven ratio, that is the ratio of the tracer diffusion coefficient D determined by radioactive tracer methods to D, the diffusion coefficient obtained from conductivity via the Nernst-Einstein relationship (defined in Chapter 3) can be measured with great accuracy. The simultaneous measurement of D and D by analysis of the diffusion profile obtained under an electrical field (Kant, Kaps and Offermann, 1988) allows the Haven ratio to be determined with an accuracy better than 5%. From random walk theory of ion hopping the conductivity diffusion coefficient D = (e /isotropic medium. Hence for an indirect interstitial mechanism, the corresponding mobility is expressed by... [Pg.83]

Figure 2. Conductivity diffusion coefficient (mobility) of protons and water self-diffusion coefficient of aqueous solutions of hydrochloric acid (HCl), as a function of acid concentration (molarity, M) (data are taken from ref 141). Figure 2. Conductivity diffusion coefficient (mobility) of protons and water self-diffusion coefficient of aqueous solutions of hydrochloric acid (HCl), as a function of acid concentration (molarity, M) (data are taken from ref 141).
Figure 9. Proton conductivity diffusion coefficient (mobility) and water self-diffusion coefficient of Nation 117 (EW = 1100 g/equiv), as a function of temperature and the degree of hydration n = [H20]/[—SOsH]). ... Figure 9. Proton conductivity diffusion coefficient (mobility) and water self-diffusion coefficient of Nation 117 (EW = 1100 g/equiv), as a function of temperature and the degree of hydration n = [H20]/[—SOsH]). ...
Proton conductivity diffusion coefficients for hydrated samples and samples solvated with... [Pg.424]

The book by Reid et al. [9] is an excellent source of information on properties such as thermal conductivities, diffusion coefficients and viscosities of gases and liquids. Not only are there extensive tables of data, but many estimation methods and correlations are critically reviewed. [Pg.23]

The values of some of these parameters at room temperature and pressure are given in table 4.26. These values are obtained from measurements of viscosity, thermal conductivity, diffusion, and from deviations from the perfect gas law. [Pg.127]

In principle the deviation <5 can be determined by the use of usual analytical chemistry or a highly sensitive thermo-balance. These methods, however, are not suitable for very small deviations. In these cases the following methods are often applied to detect the deviation physico-chemical methods (ionic conductivity, diffusion constant, etc.), electro-chemical methods (coulometric titration, etc.), and physical methods (electric conductivity, nuclear magnetic resonance, electron spin resonance, Mossbauer effect, etc.), some of which will be described in detail. [Pg.46]

Time-dependent correlation functions are now widely used to provide concise statements of the miscroscopic meaning of a variety of experimental results. These connections between microscopically defined time-dependent correlation functions and macroscopic experiments are usually expressed through spectral densities, which are the Fourier transforms of correlation functions. For example, transport coefficients1 of electrical conductivity, diffusion, viscosity, and heat conductivity can be written as spectral densities of appropriate correlation functions. Likewise, spectral line shapes in absorption, Raman light scattering, neutron scattering, and nuclear jmagnetic resonance are related to appropriate microscopic spectral densities.2... [Pg.79]

The data needed are the rate equation, energy of activation, heat of reaction, densities, heat capacities, thermal conductivity, diffusivity, heat transfer coefficients, and usually the stoichiometry of the process. Simplified numerical examples are given for some of these cases. Item 4 requires the solution of a system of partial differential equations that cannot be made understandable in concise form, but some suggestions as to the procedure are made. [Pg.556]

A common transient method is the line source technique, and such an apparatus was developed by Lobo and Cohen41 which could be used with melts. Oehmke and Wiegmann42 used the line source technique for measurements as a function of temperature and pressure. A hot wire parallel technique43 yielded conductivity and specific heat from the same transient, and then diffusivity was calculated. Zhang and Fujii44 obtained conductivity, diffusivity and the product of density and specific heat from a short hot wire method. [Pg.282]

When the ideas of symmetry and of microscopic reversibility are combined with those of probability, statistical mechanics can deal with many stationary state nonequilibrium problems as well as with equilibrium distributions. Equations for such properties as viscosity, thermal conductivity, diffusion, and others are derived in this way. [Pg.1539]

Studying anew the differential equations of heat conduction, diffusion, gas motion and chemical kinetics under the conditions of a chemical reaction (flame) propagating in a tube, through a narrow slit or under similar conditions, using the methods of the theory of similarity we find the following dimensionless governing criteria ... [Pg.276]

Irreversible processes correspond to the time evolution in which the past and the future play different roles. In processes such as heat conduction, diffusion, and chemical reaction there is an arrow of time. As we have seen, the second law postulates the existence of entropy 5, whose time change can be written as a sum of two parts One is the flow of entropy deS and the other is the entropy production dtS, what Clausius called uncompensated heat, ... [Pg.47]

No overall model applicable to the prediction of thermal conductivity/diffusivity values is available, but assuming the presence of additive contributions from the elements in coal, the following correlation has been proposed ... [Pg.153]

For a better comprehension of the ED processes it is necessary to refresh a few basic concepts and definitions regarding the electrolytic cell and thermodynamic electrode potential, Faraday s laws, current efficiency, ion conduction, diffusivity, and transport numbers in solution. [Pg.270]

Although irreversible thermodynamics neatly defines the driving forces behind associated flows, so far it has not told us about the relationship between these two properties. Such relations have been obtained from experiment, and famous empirical laws have been established like those of Fourier for heat conduction, Fick for simple binary material diffusion, and Ohm for electrical conductance. These laws are linear relations between force and associated flow rates that, close to equilibrium, seem to be valid. The heat conductivity, diffusion coefficient, and electrical conductivity, or reciprocal resistance, are well-known proportionality constants and as they have been obtained from experiment, they are called phenomenological coefficients Li /... [Pg.36]

These abilities provide the site selective laser techniques with unique capabilities to determine the changes in defect equilibria at a microscopic level. They are complementary to conductivity, diffusion, dielectric and other bulk measurements which measure nonlocal properties that must be modeled to extract microscopic details. [Pg.146]

Provocative experimental evidence, at variance with conventional theory, is provided by the estimates of molecular diameters for diatomic molecules. Bonding theory requires the concentration of valence densities between the nuclei to increase as a function of bond order, in agreement with observed bond lengths (1.097, 1.208, 0.741 A) and force constants (22.95, 11.77, 5.75 Ncm-1) of the species N=N, 0=0 and H-H respectively. Molecular diameters can be measured by a variety of techniques based on gas viscosity, heat conductivity, diffusion and van der Waals equation of state. The results are in excellent agreement at values of 3.75, 3.61 and 2.72 A, for N2, O2 and H2, respectively. Conventional bonding theory cannot account for these results. [Pg.70]

Percolation is widely observed in chemical systems. It is a process that can describe how small, branched molecules react to form polymers, ultimately leading to an extensive network connected by chemical bonds. Other applications of percolation theory include conductivity, diffusivity, and the critical behavior of sols and gels. In biological systems, the role of the connectivity of different elements is of great importance. Examples include self-assembly of tobacco mosaic virus, actin filaments, and flagella, lymphocyte patch and cap formation, precipitation and agglutination phenomena, and immune system function. [Pg.236]

The physical property monitors of ASPEN provide very complete flexibility in computing physical properties. Quite often a user may need to compute a property in one area of a process with high accuracy, which is expensive in computer time, and then compromise the accuracy in another area, in order to save computer time. In ASPEN, the user can do this by specifying the method or "property route", as it is called. The property route is the detailed specification of how to calculate one of the ten major properties for a given vapor, liquid, or solid phase of a pure component or mixture. Properties that can be calculated are enthalpy, entropy, free energy, molar volume, equilibrium ratio, fugacity coefficient, viscosity, thermal conductivity, diffusion coefficient, and thermal conductivity. [Pg.302]

This monograph provides an introduction to scanning ther-moanalytical techniques such as differential thermal analysis (DTA), differential scanning calorimetry (DSC), dilatometry, and thermogravimetric analysis (TG). Elevated temperature pyrometry, as well as thermal conductivity/diffusivity and glass viscosity measurement techniques, described in later chapters, round out the topics related to thermal analysis. Ceramic materials are used predominantly as examples, yet the principles developed should be general to all materials. [Pg.1]


See other pages where Conductivity diffusive is mentioned: [Pg.664]    [Pg.520]    [Pg.260]    [Pg.173]    [Pg.323]    [Pg.187]    [Pg.222]    [Pg.115]    [Pg.367]    [Pg.368]    [Pg.283]    [Pg.474]    [Pg.241]    [Pg.152]    [Pg.153]    [Pg.56]    [Pg.3]    [Pg.615]   
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Analogy Diffusion with heat conduction

Axial conduction and diffusion in a tubular reactor

Conductivity and Diffusion at Infinite Dilution

Conductivity and self-diffusion

Conductivity diffusion coefficient

Conductivity, Transference Numbers, and the Diffusion Potential

Diffusion and Heat Conduction in Catalysts

Diffusion and conductivity

Diffusion and heat conduction

Diffusion electrical conductivity relaxation

Diffusion in Mixed Electronic-Ionic Conducting Oxides (MEICs)

Diffusion ionic conductivity

Diffusion layer electricity conductivity

Diffusive conduction

Diffusive conduction

Diffusivity ionic conductivity

Diffusivity, Mobility and Conductivity The Nernst-Einstein Relation

Electric charge, molar conductivity-diffusion

Electric conductivity and diffusion

Examples mobility, conductivity, and diffusion

Growth Limited by Heat Conduction and Mass Diffusion Simultaneously

Heat Conduction and Molecular Diffusion

Heat Conduction, Viscosity, and Diffusion

Heat conduction and mass diffusion

Heat conduction diffusion coefficient

Hopping conduction diffusion

Ion conduction and self-diffusion

Ionic Conductivity and Diffusion at Infinite

Ionic Conductivity and Diffusion at Infinite Dilution

Molar conductivity diffusion coefficient

Nernst-Einstein equation molar conductivity-diffusion coefficient

Proton conductivity diffusion

Relationship between Ionic Conductivity and Diffusion Coefficient

Spin diffusion, conductive polymers, charge

Thermal Conductivity (Diffusivity and Expansion)

Thermal Conductivity and Diffusion

Thermal, conductivity diffusion

Transport Properties (Diffusivity, Viscosity, Heat Conduction)

Unsteady-state diffusion conduction)

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