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Chen Parameters

From C-C Chen H. I. Britt J.F. Boston and L.B. Evans, Local Composition Model for Excess Gibbs Energy of Electrolyte Systems Part I Single Solvent, Single Completely Dissociated Electrolyte Systems , AIChE J., v. 28, 4, p. 592 (1982) [Pg.191]

Davies. C.W., Ion Association. Butterworths Scientific Publications, London (1962) [Pg.195]

Guggenheim, E.A., Thermodynamics. 5th ed., North-HoUand Publishing Company, Amsterdam (1967) [Pg.195]

Friedman. H.L., Ionic Solution Theory. Interscience Publishers. New York (1962) [Pg.195]

Goldberg, R.N., Evaluated Activity and Osmotic Coefficients for Aqueous Solutions Thirty-Six Uni-Bivalent Electrolytes , J. Phys- Chem. Ref. Data, [Pg.195]


M. K. Venkitachalam, L.-Q. Chen, A. G. Khachaturyan, G. L. Messing. A multiple-component order parameter phase field model for anisotropic grain growth. Mater Sci Eng A 238 94, 1997. [Pg.927]

Chen et al. [24] provide a good review of Al techniques used for modeling environmental systems. Pongracz et al. [25] presents the application of a fuzzy-rule based modeling technique to predict regional drought. Artificial neural networks model have been applied for mountainous water-resources management in Cyprus [26] and to forecast raw-water quality parameters for the North Saskatchewan River [27]. [Pg.137]

Noting the influence of temperature on the intrinsic viscosity is given by the parameter of chain flexibility (dln[ j]/d7), which gives information about the conformation of the macromolecule chain in solution (Kasaii 2007, Chen and Tsaih 1998). The chain flexibility parameter in the temperature range of 20-29°C is dln[t]]/dT = 4,404.11K-i, 0.9993 and in... [Pg.108]

The parameters of Mark-Houwink for biopolymers may be varied with solvent and temperature (Chen et al. 2009, Chen Tsai 1998). This is because the macromolecule changes hydrodynamic radius with type solution and temperature via change in their chain... [Pg.109]

Figure 10.16. NO conversion and ammonia slip as a function of the NH3/NO ratio in the presence of O2 and H2O over a V203/Ti02 catalyst at 623 K. The lines represent the model based on reactions (9)-(14) and the parameters in Tab. 10.7. [Adapted from).A. Dumesic, N.-Y. Topsoe, H. Topsoe, Y. Chen, and T. Slabiak, J. Catal. 163 (1996) 409.]... Figure 10.16. NO conversion and ammonia slip as a function of the NH3/NO ratio in the presence of O2 and H2O over a V203/Ti02 catalyst at 623 K. The lines represent the model based on reactions (9)-(14) and the parameters in Tab. 10.7. [Adapted from).A. Dumesic, N.-Y. Topsoe, H. Topsoe, Y. Chen, and T. Slabiak, J. Catal. 163 (1996) 409.]...
Much of what is knotm about the structure response of the ECD is based on empirical observations. Clearly, the ability to correlate the response of the detector to fundamental molecular parameters would be useful. Chen and Wentworth have shorn that the information required for this purpose is the electron affinity of the molecule, the rate constant for the electron attachment reaction and its activation energy, and the rate constant for the, ionic recombination reaction [117,141,142]. in general, the direct calculation of detector response factors have rarely Jseen carried j out, since the electron affinities and rate constants for most compounds of interest are unknown. [Pg.144]

Figure 9 compares Equation 20 with the recent pressure drop flow rate data of Friedmann, Chen, and Gauglitz (5) for a 1 wt% commercial sodium alkyl sulfonate dimer (Chaser SD-1000) stabilized foam in a Berea sandstone. These data are particularly useful because they have been corrected for foam blockage and therefore correctly reflect the flowing bubble regime. The solid line in Figure 9 is best fit according to Equation 20. Unfortunately, neither of the parameters c or 6 is available. Two sets of estimates are shown in Figure 9. When e - 0 (i.e., no surfactant effect) the bubble size is about 30% of a grain diameter. When — 0.1 mm (i.e., a value characteristic of those in Figure 8) the bubble size is about 10 grain diameters. We assert that Equation 20 not only predicts the correct velocity behavior of foam but it does so with reasonable parameter values (23). Figure 9 compares Equation 20 with the recent pressure drop flow rate data of Friedmann, Chen, and Gauglitz (5) for a 1 wt% commercial sodium alkyl sulfonate dimer (Chaser SD-1000) stabilized foam in a Berea sandstone. These data are particularly useful because they have been corrected for foam blockage and therefore correctly reflect the flowing bubble regime. The solid line in Figure 9 is best fit according to Equation 20. Unfortunately, neither of the parameters c or 6 is available. Two sets of estimates are shown in Figure 9. When e - 0 (i.e., no surfactant effect) the bubble size is about 30% of a grain diameter. When — 0.1 mm (i.e., a value characteristic of those in Figure 8) the bubble size is about 10 grain diameters. We assert that Equation 20 not only predicts the correct velocity behavior of foam but it does so with reasonable parameter values (23).
Sajjad, A.K.L., Shamaila, S., Tian, B., Chen, F., and Zhang, J. (2010) Comparative studies of operational parameters of degradation of azo dyes invisible light by highly efficient WO / Ti02 photocatalyst. Journal of Hazardous materials, 177 (1—3), 781—791. [Pg.126]

Chen K-C, Wu J-Y, Yang W-B et al (2003) Evaluation of effective diffusion coefficient and intrinsic kinetic parameters on azo dye biodegradation using PVA-immobilized cell beads. Biotechnol Bioeng 83 821-832... [Pg.130]

In another class of models, pioneered by Elghobashi and Abou-Arab (1983) and Chen (1985), a particle turbulent viscosity, derived by extending the concept of turbulence from the gas phase to the solid phase, has been used. This is the so-called k—s model, where the k corresponds to the granular temperature and s is a dissipation parameter for which another conservation law is required. By coupling with the gas phase k—s turbulence model, Zhou and Huang (1990) developed a k—s model for turbulent gas-particle flows. The k—s models do not... [Pg.112]

Once the type of limiting function has been selected, the parameters a, and P, which quantitatively define the nonlinearity i/y (0) in Eq. (11.31), have to be chosen to give the desired efficiency at the nominal Gaussian model. An analytical procedure was developed by Chen et al. (1998) for choosing each set of tuning parameters, based on the conditional probability of the measurements. [Pg.232]

Basak, S. C., Gute, B. D., Grunwald, G. D. Relative effectiveness of topological, geometrical, and quantum chemical parameters in estimating mutagenicity of chemicals. In Quantitative Structure—Activity Relationships in Environmental Sciences VII, Chen, F., Schuurmann, G., Eds., SETAC Press, Pensacola, EL, 1998, pp. 245-261. [Pg.500]

To test the validity of the extended Pitzer equation, correlations of vapor-liquid equilibrium data were carried out for three systems. Since the extended Pitzer equation reduces to the Pitzer equation for aqueous strong electrolyte systems, and is consistent with the Setschenow equation for molecular non-electrolytes in aqueous electrolyte systems, the main interest here is aqueous systems with weak electrolytes or partially dissociated electrolytes. The three systems considered are the hydrochloric acid aqueous solution at 298.15°K and concentrations up to 18 molal the NH3-CO2 aqueous solution at 293.15°K and the K2CO3-CO2 aqueous solution of the Hot Carbonate Process. In each case, the chemical equilibrium between all species has been taken into account directly as liquid phase constraints. Significant parameters in the model for each system were identified by a preliminary order of magnitude analysis and adjusted in the vapor-liquid equilibrium data correlation. Detailed discusions and values of physical constants, such as Henry s constants and chemical equilibrium constants, are given in Chen et al. (11). [Pg.66]

Within the Parameter Study Block, the algorithm is designed to test whether solubility has been exceeded or not. As a result the same model generated by ECES can be used to predict HC1 vapor pressures over unsaturated solutions of FeC12-HCl-H20 without modifying the basic program created by ECES. In a paper by Chen (17) some limited experimental data was presented on the vapor pressure of HC1 over ferrous chloride system. [Pg.244]

Pandat software package and applications (Chen et al. 1993). Pandat is a software package for multi-component phase diagram calculations. Given a set of thermodynamic parameters for all phases in a system and a set of user constraints, Pandat automatically calculates the stable phase diagram without... [Pg.74]

Numerical calculations inspired in the ZK method for stars have also been applied for the description of the dynamics of model dendrimers. La Ferla [232] used a freely-rotating model, including a topology-dependence stiffness parameter and preaveraged HI. With this model, he obtained a complex analytical expression for the mean size. Cai and Chen [233] used a Gaussian model without HI and performed a detailed analysis of the relaxation motions. They investigated the diffusion of the center of mass, the relaxation of the center of mass position relative to the core monomer, and also the rotational and internal modes. [Pg.106]

Fig. 3.12 Computed stability diagram of LiH, Li AlH and LiAlH,, in comparison with experimental data [85, 97] for the LiH/Li AlH equilibrium. The solid curves are those calculated using the parameter Set 1 obtained by fitting to Chen s et al. data [85] while the dotted curves are using the parameter Set 2 obtained by fitting to Brinks et al. s data [97] (after [100])... Fig. 3.12 Computed stability diagram of LiH, Li AlH and LiAlH,, in comparison with experimental data [85, 97] for the LiH/Li AlH equilibrium. The solid curves are those calculated using the parameter Set 1 obtained by fitting to Chen s et al. data [85] while the dotted curves are using the parameter Set 2 obtained by fitting to Brinks et al. s data [97] (after [100])...
Duty SM, Silva MJ, Barr DB, Brock JW, Ryan L, Chen ZY, Herrick RF, Christiani DC, Hauser R (2003) Phthalate exposure and human semen parameters. Epidemiology 14 269-277... [Pg.329]

Duty SM, Calafat AM, Silva MJ, Brock JW, Ryan L, Chen Z, Overstreet J, Hauser R (2004) The relationship between environmental exposure to phthalates and computer-aided sperm analysis motion parameters. J Androl 25 293-302... [Pg.329]

P Britz-McKibbin, DDY Chen. Prediction of the migration behavior of analytes in capillary electrophoresis based on three fundamental parameters. J Chromatogr A 781 23-34, 1997. [Pg.114]


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