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Supercritical carbon dioxide prediction

Figure 5 shows the partial molar volume of naphthalene in supercritical carbon dioxide predicted by theory compared with the data of Eckert et al. (1). Neither naphthalene nor carbon dioxide would be expected to be described quantitatively by the LJ potential. Furthermore, no binary interaction parameter was used with the Lorentz-Berthelot estimates for the CO2-C10H8 interaction. Thus, the degree of agreement between effectively a priori prediction and experiment is judged to be very satisfactory. [Pg.34]

For supercritical carbon dioxide, predict the effect that the following changes will have on the elution time in an SFC experiment. [Pg.1018]

The hard-sphere expansion (HSE) theory is incorporated in the Kirkwood-Buff fluctuation integral to predict solubilities of solids in supercritical carbon dioxide and ethylene (Kwon and Mansoori, 1993). [Pg.146]

The mole fraction solubilities of ten copper(II) and five chromium(III) P-diketo-nates were measured in SCCO2 with a spectroscopic technique and found to vary over four orders of magnitude. Observed trends indicate that the solubility in supercritical carbon dioxide is strongly dictated by the character of the hydrocarbon or fluorocarbon shell surrounding the central metal atom. A regular solutions approach was used for Cr(acac)°3 to quantitatively attempt to predict the solubility in SCCO2. Solubility... [Pg.190]

Table II. Prediction of the Activation volume of the Diels-Alder reaction between isoprene and maleic anhydride in supercritical carbon dioxide at 35 C... Table II. Prediction of the Activation volume of the Diels-Alder reaction between isoprene and maleic anhydride in supercritical carbon dioxide at 35 C...
Engelhardt, H.L. and Jurs, P.C. (1997). Prediction of Supercritical Carbon Dioxide Solubility of Organic Compounds from Molecular Structure. J.Chem.Inf.Comput.Sci.,37,478-484. [Pg.564]

These calculations support the notion of a large solvent-solute cluster near the CP as suggested from spectroscopic results (2.3.7V The estimation fl.4) that the cluster approaches 100 solvent molecules based on the partial molar volume data of Eckert et al. (1) for naphthalene in supercritical carbon dioxide at this temperature also appears entirely consistent with the predictions from the integral equation theory. [Pg.34]

This book provides a compilation of the published data on solubility in supercritical carbon dioxide. Data are presented in both tabular and graphical formats. Extrapolation of the data can be performed using the above correlations, that is, the model parameters can be regressed to the available data and then a prediction is made for extended conditions. In the graphs, smooth lines connecting data points are drawn as visual aids these lines are not results of any model correlations. [Pg.15]

Supercritical-fluid chromatography (SFC) was extensively evaluated in the late 1980s, in both the capillary and the packed-column formats, for a variety of compounds, including pharmaceuticals—primarily with negative results. Subsequent evaluation of SFC has shown that the primary source of this disillusionment is that supercritical carbon dioxide is substantially less polar than initially predicted. In its simplest form, supercritical carbon dioxide can be thought of as providing approximately the same polarity as hexane. As a... [Pg.376]

Englehart HL, Jurs PC. Prediction of supercritical carbon dioxide solubility of organic compounds from molecular structure. J Chem Inf Comput Sci 1997 37 478-484. [Pg.25]

Vetere A. A short-cut method to predict the solubilities of solids in supercritical carbon dioxide. Fluid Phase Equilibria 1998 148 83-93. [Pg.25]

Equation (35) for drop breakup caused by acceleration and Eqs. (37) to (39) to model drop breakup by turbulent stresses can be used to interpret drop behavior for the twin-fluid nozzle shown in Figure 7. The predicted size of the ethanol drops dispersed in supercritical carbon dioxide is compared with measured values in Figure 13. One can see that the model predicts well the... [Pg.122]

Tabaraki, R., Khayamian, T. and Ensafi, A.A. (2006) Wavelet neural network modeling in QSPR for prediction of solubility of 25 anthraquinone dyes at different temperatures and pressures in supercritical carbon dioxide./. Md. Graph. Model., 25, 46-54. [Pg.1178]

The predicted and measured naphthalene mole fractions in supercritical carbon dioxide are plotted in Fig. 12.1-1. [Pg.667]

Note that the predictions for these extreme conditions are good. Indeed, with only one adjustable parameter (Itcoj-N = 0.103), reasonable predictions are obtained for the solubility of naphthalene in supercritical carbon dioxide for a range of temperatures in the near critical region, and to moderately high pressures. [Pg.668]

Figure 1. Percentage conversion of NBA into BHP in supercritical carbon dioxide at 50 C, shown as a Junction of pressure. Filled circles give the conversion into BHP, open circles give the sum of the conversions into BHP and its dimer, and diamond give the predicted conversion into BHP. Figure 1. Percentage conversion of NBA into BHP in supercritical carbon dioxide at 50 C, shown as a Junction of pressure. Filled circles give the conversion into BHP, open circles give the sum of the conversions into BHP and its dimer, and diamond give the predicted conversion into BHP.
Case Study i Homogeneous Homo- and Copolymerizations IN scCOj The first case analyzed [42] was the homogeneous homopolymerization of dihydroperfluo-rooctyl acrylate (FOA) in supercritical carbon dioxide at the same conditions reported by DeSimone et al. [45]. Once the model was implemented, parameter sensitivity analyses were carried out. The first objective was to test the model implementation, namely, to verify that the expected trends were predicted by the model. The second objective of these... [Pg.321]

For the application of supercritical carbon dioxide as a medium for the production of polyolefins, it is important to have rehable thermodynamic data for the systems involved. Knowledge of the phase behavior of the reaction mixture is crucial to properly choose process variables such as temperature and pressure in order to achieve maximum process efficiency. For this reason, the ethylene-poly (ethylene-co-propylene) (PEP)-C02 system has been taken as a representative model system [3]. The effect of molecular weight as well as the influence of CO2 on the phase behavior has been studied experimentally by cloud-point measurements. In addition, the Statistical Associating Fluid Theory (SAFT) has been applied to predict the experimental results. [Pg.158]

Royer, J.R., J.M. DeSimone, and SA. Khan, High-pressure rheology atul viscoelastic scaling predictions of polymer melts containing liquid and supercritical carbon dioxide. Journal of Polymer Science Part B-Polymer Physics, 2001. 39(23) p. 3055-3066. [Pg.337]

In closing, we would like to mention some applications of the GEMC/CBMC approach and very much related combination of CBMC and the grand canonical Monte Carlo technique to other complex systems prediction of structure and transfer free energies into dry and water-saturated 1-octanol [72], prediction of the solubility of polymers in supercritical carbon dioxide [73], prediction of the upper critical solution pressure for gas-expanded liquids [74], investigation of the formation of multiple hydrates for a pharmaceutical compound [75], exploration of multicomponent vapor-to-particle nucleation pathways [76], and investigations of the adsorption of articulated molecules in zeolites and metal organic frameworks [77, 78]. [Pg.198]

Del Valle, J. M., and J. M. Aguilera. 1988. An Improved Equation for Predicting the Solubility of Vegetable Oils in Supercritical Carbon Dioxide. Industrial Engineering Chemistry Research 27 (8) 1551-1553. [Pg.106]

As described in the Introduction, perfiuoroalkylated polymer segments play an important role in nanofabrication under supercritical carbon dioxide conditions. It should be mentioned that those nanocellular structures can be defined by the segment ratio and block lengths of perfluorinated polymer segments. Therefore, some well-defined architectural features of block copolymers, such as controlled composition, predictable molecular weight, and narrow molecular-weight distribution, are essential for this study. [Pg.718]


See other pages where Supercritical carbon dioxide prediction is mentioned: [Pg.110]    [Pg.246]    [Pg.474]    [Pg.98]    [Pg.469]    [Pg.600]    [Pg.917]    [Pg.109]    [Pg.22]    [Pg.78]    [Pg.86]    [Pg.169]    [Pg.35]    [Pg.18]    [Pg.31]    [Pg.93]    [Pg.605]    [Pg.42]    [Pg.437]    [Pg.146]    [Pg.437]    [Pg.279]    [Pg.722]   
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