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Difference solutions

The case of thin-skin regime appears in various industrial sectors such as aerospace (with aluminium parts) and also nuclear in tubes (with ferromagnetic parts or mild steel components). The detection of deeper defects depends of course on the choice of the frequency and the dimension of the probe. Modelling can evaluate different solutions for a type of testing in order to help to choose the best NDT system. [Pg.147]

Davis, M. E., McCammon, J. A. Dielectric boundary smoothing in finite difference solutions of the poisson equation An approach to improve accuracy and convergence. J. Comp. Chem. 12 (1991) 909-912. [Pg.195]

Suppose that we have measured absorbance vectors y for three different solutions each containing both Cr205- and Mn04. Let us call them ya, yb, and yc,... [Pg.85]

The solvent can strongly influence the energies of different solute conformations or configurations of atoms. [Pg.62]

As a single equation with three variables, equation 6.26 does not have a unique solution for the concentrations of CHaCOOH, CHaCOQ-, and HaO+. At constant temperature, different solutions of acetic acid may have different values for [HaO+], [CHaCOQ-] and [CHaCOOH], but will always have the same value ofiQ. [Pg.148]

Fig. 25. Reverse osmosis, ultrafiltration, microfiltration, and conventional filtration are related processes differing principally in the average pore diameter of the membrane filter. Reverse osmosis membranes are so dense that discrete pores do not exist transport occurs via statistically distributed free volume areas. The relative size of different solutes removed by each class of membrane is illustrated in this schematic. Fig. 25. Reverse osmosis, ultrafiltration, microfiltration, and conventional filtration are related processes differing principally in the average pore diameter of the membrane filter. Reverse osmosis membranes are so dense that discrete pores do not exist transport occurs via statistically distributed free volume areas. The relative size of different solutes removed by each class of membrane is illustrated in this schematic.
R. J. BShando, A Finite Difference Solution of Onsager s Modelfor Flow in a Gas Centrifuge Rept. UVA-ER-822-83U, University of Virginia, ChadottesviUe, 1983. [Pg.101]

Random comparisons of predictions with 2.26 versus 2.6 show no consistent advantage for either value, however. It has been suggested to replace the exponent of 0.6 with 0.7 and to use an association factor of 0.7 for systems containing aromatic hydrocarbons. These modifications, however, are not recommended by Umesi and Danner. Lees and Sarram present a comparison of the association parameters. The average absolute error for 87 different solutes in water is 5.9 percent. [Pg.597]

A number of other indifferent stress rates have been used to obtain solutions to the simple shear problem, each of which provides a different shear stress-shear strain response which has no latitude, apart from the constant Lame coefficient /r, for representing nonlinearities in the response of various materials. These different solutions have prompted a discussion in the literature regarding which indifferent stress rate is the correct one to use for large deformations. [Pg.151]

D.F. Hawken, J.J. Gottlieb, and J.S. Hansen, Review of Some Adaptive Node-Movement Techniques in Finite-Element and Finite-Difference Solutions of Partial Differential Equations, J. Comput. Phys. 95 (1991). [Pg.352]

As shown by Eq. (6) the PME is the reversible work done by the average force. It is possible to express relative values of the PME between different solute configurations X i and X2 using Eq. (6) and the reversible work theorem [4] ... [Pg.137]

Eucaryotes have many more genes and a broader range of specific transcription factors than procaryotes and gene expression is regulated by using sets of these factors in a combinatorial way. Eucaryotes have found several different solutions to the problem of producing a three-dimensional scaffold that allows a protein to interact specifically with DNA. In the next chapter we shall discuss some of the solutions that have no counterpart in procaryotes. However, the procaryotic helix-turn-helix solution to this problem (see Chapter 8) is also exploited in eucaryotes, in homeodomain proteins and some other families of transcription factors. [Pg.159]

Both kinetic and equilibrium experimental methods are used to characterize and compare adsorption of aqueous pollutants in active carbons. In the simplest kinetic method, the uptake of a pollutant from a static, isothermal solution is measured as a function of time. This approach may also yield equilibrium adsorption data, i.e., amounts adsorbed for different solution concentrations in the limit t —> qo. A more practical kinetic method is a continuous flow reactor, as illustrated in Fig. 5. [Pg.107]

In qualitative work, it is clear that some caution must be shown in comparing (k ) values for the same solute from different columns and for different solutes on the same column. Both (Vm) and (Vs) will vary between different columns and may,... [Pg.27]

Figure 7. Graph of Retention Volume of a Number of Different Solutes against Composition of the Mobile Phase... Figure 7. Graph of Retention Volume of a Number of Different Solutes against Composition of the Mobile Phase...
In fact, this procedure can be used for any aliphatic series such as alcohols, amines, etc. Consequently, before dealing with a specific homologous series, the validity of using the methylene group as the reference group needs to be established. The source of retention data that will be used to demonstrate this procedure is that published by Martire and his group [5-10] at Georgetown University and are included in the thesis of many of his students. The stationary phases used were all n-alkanes and there was extensive data available from the stationary phase n-octadecane. The specific data included the specific retention volumes of the different solutes at 0°C (V r(To)) thus, (V r(T)) was calculated for any temperature (Ti) as follows. [Pg.55]

The column was 25 cm long, 4.6 mm I.D. and packed with Partisil 10. It is seen that linear curves were obtained for three different solutes and two different moderators in n-heptane. Scott and Beesley [14] obtained retention data for the two enantiomers, (S) and (R) 4-benzyl-2-oxazolidinone. The column chosen was 25 cm long, 4.6 mm I.D. packed with 5 mm silica particles bonded with the stationary phase Vancomycin (Chirobiotic V provided by Advanced Separations Technology Inc., Whippany, New Jersey). This stationary phase is a macrocyclic glycopeptide Vancomycin that has a molecular weight of 1449.22, and an elemental composition of 54.69% carbon. [Pg.113]

The results obtained were probably as accurate and precise as any available and, consequently, were unique at the time of publication and probably unique even today. Data were reported for different columns, different mobile phases, packings of different particle size and for different solutes. Consequently, such data can be used in many ways to evaluate existing equations and also any developed in the future. For this reason, the full data are reproduced in Tables 1 and 2 in Appendix 1. It should be noted that in the curve fitting procedure, the true linear velocity calculated using the retention time of the totally excluded solute was employed. An example of an HETP curve obtained for benzyl acetate using 4.86%v/v ethyl acetate in hexane as the mobile phase and fitted to the Van Deemter equation is shown in Figure 1. [Pg.319]

Katz and Scott measured (k ) and (k"), the diffusivities, and the total HETP curves (identifying the magnitude of 2Xdp)for 69 different solutes. This data were inserted in... [Pg.331]

Katz and Scott [1] measured the diffusivity of 69 different solutes having molecular weights ranging from 78 to 446. The technique they employed was to measure the dispersion of a given solute band during passage through an open tube. [Pg.336]

The solvent used was 5 %v/v ethyl acetate in n-hexane at a flow rate of 0.5 ml/min. Each solute was dissolved in the mobile phase at a concentration appropriate to its extinction coefficient. Each determination was carried out in triplicate and, if any individual measurement differed by more than 3% from either or both replicates, then further replicate samples were injected. All peaks were symmetrical (i.e., the asymmetry ratio was less than 1.1). The efficiency of each solute peak was taken as four times the square of the ratio of the retention time in seconds to the peak width in seconds measured at 0.6065 of the peak height. The diffusivities obtained for 69 different solutes are included with other physical and chromatographic properties in table 1. The diffusivity values are included here as they can be useful in many theoretical studies and there is a dearth of such data available in the literature (particularly for the type of solutes and solvents commonly used in LC separations). [Pg.338]


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Deviations from Ideal Solutions Difference Measures

Difference Equations and Their Solutions

Difference between evolution during solution

Difference equations complementary solution

Difference equations particular solution

Difference equations, first-order, solution

Different Technical Solutions to Catalyst Separation through the Use of Ionic Liquids

Different solute states

Differential equations finite difference solution

Driving potential difference solution

Equilibrium between different phases in ideal solutions

Explicit, Central Difference Solutions

Explicit, Exponential Difference Solutions

Explicit, Upwind Difference Solutions

Exponential Difference Solutions

Finite Difference Solutions to the Poisson-Boltzmann

Finite difference solution for boundary

Finite difference solution for elliptic

Finite difference solution of parabolic equations

Finite difference techniques numerical solutions

Finite differences solutions

Finite-difference solution by the explicit method

Graetz Problem-Finite Difference Solution

Metal-solution potential difference

Metal/solution interface potential difference

Mixed (Differential-Difference) Formulation. Analog Solution

Numerical solution different parameters

Numerical solution different sets

Numerical solutions implicit finite-difference algorithm

Potential differences between organic liquids and aqueous solutions

Schematic illustration of elution chromatography. Three solutes are separating depending on the affinity to stationary phase at different times

Semiconductor-solution interface potential difference

Solute-solvent interactions difference

Solution Methods for Linear Finite Difference Equations

Solution of Partial Differential Equations Using Finite Differences

Solution techniques finite differences

Solutions suspension different from

The Different Solution Processes

The Different Solution Techniques

Upwind Difference Solutions

Volta potential difference metal solution interface

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