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Mixtures temperature variations

We noted above that the presence of monomer with a functionality greater than 2 results in branched polymer chains. This in turn produces a three-dimensional network of polymer under certain circumstances. The solubility and mechanical behavior of such materials depend critically on whether the extent of polymerization is above or below the threshold for the formation of this network. The threshold is described as the gel point, since the reaction mixture sets up or gels at this point. We have previously introduced the term thermosetting to describe these cross-linked polymeric materials. Because their mechanical properties are largely unaffected by temperature variations-in contrast to thermoplastic materials which become more fluid on heating-step-growth polymers that exceed the gel point are widely used as engineering materials. [Pg.314]

Propylene oxide is a colorless, low hoiling (34.2°C) liquid. Table 1 lists general physical properties Table 2 provides equations for temperature variation on some thermodynamic functions. Vapor—liquid equilibrium data for binary mixtures of propylene oxide and other chemicals of commercial importance ate available. References for binary mixtures include 1,2-propanediol (14), water (7,8,15), 1,2-dichloropropane [78-87-5] (16), 2-propanol [67-63-0] (17), 2-methyl-2-pentene [625-27-4] (18), methyl formate [107-31-3] (19), acetaldehyde [75-07-0] (17), methanol [67-56-1] (20), ptopanal [123-38-6] (16), 1-phenylethanol [60-12-8] (21), and / /f-butanol [75-65-0] (22,23). [Pg.133]

Fig. 2. Slow oxidation, spontaneous ignition, and explosion as a function of pressure and temperature variations in hydrocarbon mixtures (1). Fig. 2. Slow oxidation, spontaneous ignition, and explosion as a function of pressure and temperature variations in hydrocarbon mixtures (1).
Winn [99] proposes a modification to recognize temperature variation effects on relative volatility. The method does not apply to mixtures forming azeotropes or at conditions near the critical. Kister [94] proposes ... [Pg.24]

Air/water vapor mixture, chart, 364,365 Air/water vapor, 359 Capacity at ejector suction, 369 Capacity for process vapor, 362 Evacuation time, 371, 380 Load for steam surface condenser, 367 Non-condensables, 362, 363 Size selection, 371 Steam pressure factor, 373 Steam requirements, 372 Steain/air mixture temperature, 361 Total weight saturated mixture, 362 Capacity, 358 Discharge, pressure, 358 Effect of excess steam pressure, 358 Effects of back pressure, 359 Effects of wet steam, 356 Inter-and-after condenser, 351 Load variation, 370 Materials of construction, 347 Molecular weight entrainment, chart, 360 Performance, 358, 370, 375 Relative comparison, 357... [Pg.626]

Carell and Olin (58) were the first to derive thermodynamic functions relating to beryllium hydrolysis. They determined the enthalpy and entropy of formation of the species Be2(OH)3+ and Be3(OH)3+. Subsequently, Mesmer and Baes determined the enthalpies for these two species from the temperature variation of the respective equilibrium constants. They also determined a value for the species Be5(OH) + (66). Ishiguro and Ohtaki measured the enthalpies of formation of Be2(OH)3+ and Be3(OH)3+ calorimetrically in solution in water and water/dioxan mixtures (99). The agreement between the values is satisfactory considering the fact that they were obtained with different chemical models and ionic media. [Pg.128]

Normalization is, in practice, also useful to counteract any possible fluctuations in the sample concentration. These fluctuations are, in practice, mostly due to sample temperature fluctuations, and to instabilities of the sampling system and they may lead to variations of the dilution factor of the sample with the carrier gas. Of course, normalization is of limited efficiency because the mentioned assumptions strictly hold for simple gases and they fail when mixtures of compounds are measured. Furthermore, it has to be considered that in complex mixtures, temperature fluctuations do not result in a general concentration shift, but since individual compounds have different boiling temperatures, each component of a mixture changes differently so that both quantitative (concentration shift) and qualitative (pattern distortion) variations take place. [Pg.153]

Experiments [43] with very high flash point fuels (JP, kerosene, Diesel, etc.) revealed that the flame propagation occurred in an unusual manner and a much slower rate. In this situation, at ambient conditions, any possible amount of fuel vapor above the liquid surface creates a gaseous mixture well outside the fuel s flammability limits. What was discovered [44, 45] was that for these fuels the flame will propagate due to the fact that the liquid surface under the ignition source is raised to a local temperature that is higher than the cool ambient temperature ahead of the initiated flame. Experimental observations revealed [45] that this surface temperature variation from behind the flame front to the cool region ahead caused a variation in the surface tension... [Pg.212]

Temperature variation was more influential on methylene selectivity for the mixtures with high percentages of acetonitrile, while the reverse was true for methanol/C02 mixtures. Like in nonaqueous reversed-phase HPLC, a temperature increase lowered the methylene selectivity. The main conclusion from this work is that acetonitrile/C02 mixtures would be preferred over methanol/C02 mixtures as a flrst attempt to separate homologs. [Pg.441]

In reactions involving only liquid components without phase change, the pressure and temperature variation do not have any significant effect on the volume of the reaction mixture, and at the same time, the expansion factor is always zero. Thus, V= Vi in batch or Q = Qt in continuous-flow systems and eqs. (3.96) and (3.97) are applicable. [Pg.89]

FIGURE 41. Temperature variation of the MAS 29Si NMR spectrum of poly(diethylsiloxane) (a) spectra of the pure /6-modification (b) spectra of a mixture of a and /6-modification. Spectra were recorded by stepwise heating of the samples. Reprinted with permission from Reference 145. Copyright 1989 American Chemical Society... [Pg.332]

As indicated below, for heterogeneous inorganic models of enzymes this circumstance is of practically no importance, i.e. the model operates in a broad range of reaction mixture parameter variation. In some cases, high effectiveness is displayed even in the gas phase (at relatively high temperature). [Pg.231]

The temperature dependence of k, was investigated and reported in Ref. [266], To obtain low-temperature data, samples were prepared in a 50% glycerol-water mixture. Figure 33 presents the temperature variation of k,. One can see from this Fig. that the electron transfer rate falls smoothly from the room temperature value to a non-zero value, kt = 9 + 4 s 1, which does not vary further from 170 down to 77 K. Data in the temperature-dependent region (T > 253 K) give the value Ea 2 kcal mol 1 for the Arrhenius activation energy. [Pg.69]

Figure 2.9 Arrhenius plot showing temperature variation of nohle gas diffusion coefficients. Samples 1-3 are glass melts 4, 5, and 14 are vitreous silica 6 is commercial glass 7 and 14 are B203 8-10 are mixtures of alkali oxides with B203, Si02, and A1203 11 and 12 are obsidians 13 and 15 are Si02. Reproduced from Hiyagon (1981). Figure 2.9 Arrhenius plot showing temperature variation of nohle gas diffusion coefficients. Samples 1-3 are glass melts 4, 5, and 14 are vitreous silica 6 is commercial glass 7 and 14 are B203 8-10 are mixtures of alkali oxides with B203, Si02, and A1203 11 and 12 are obsidians 13 and 15 are Si02. Reproduced from Hiyagon (1981).
The parameter is best obtained by fitting the equation for to the experimental heats of mixing of analogous materials as reported elsewhere It can also be obtained from any other binary quantity such as the second virial coefficient, the thermal expansion coefficient of mixture, or the volume change on mixing. is assumed to be independent of temperature but as we described in the previous section this may not be valid. At present there is no way of predicting the temperature variation and one can only use empirical expressions or assume a constant value most appropriate for the temperature range of interest. [Pg.161]

The density of a substance is the mass per unit volume of the substance (kg/m, g/cm Ibm/ft, etc.) The specific volume of a substance is the volume occupied by a unit mass of the substance it is the inverse of density. Densities of pure solids and liquids are essentially independent of pressure and vary relatively slightly with temperature. Hie temperature variation may be in either direction the density of liquid water, for example, increases from 0.999868 g/cm at 0°C to 1.00000 g/cm at 3.98°C, and then decreases to 0.95838 g/cm at 100°C. Densities of many pure compounds, solutions, and mixtures may be found in standard references (such as Perry s Chemical Engineers Handbook pp. 2-7 through 2-47 and 2-91 through 2-120). Methods of estimating densities of gases and mixtures of liquids are given in Chapter 5 of this book. [Pg.43]

The R[ value is a constant for a particular substance and eluent system on a specific stationary phase, but variations in chromatographic conditions adsorbant, eluent (in particular solvent mixtures), temperature and atmosphere make the application of Rf values to absolute identification rather problematical. Usually an authentic sample is run alongside the unknowns in the mixture (Fig. 32.13) or on top of the mixture - double spotting - as shown in Fig. 32.14, to enable identification. The general procedure for running a TLC plate is described in Box 32.3. [Pg.217]


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See also in sourсe #XX -- [ Pg.231 ]

See also in sourсe #XX -- [ Pg.199 ]




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Temperature variations

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