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Temperature and Molecular Weight

Ejector Performance The performance of any ejec tor is a function of the area of the motive-gas nozzle and venturi throat, pressure of the motive gas, suction and discharge pressures, and ratios of specific heats, molecular weights, and temperatures. Figure 10-102, based on the assumption of constant-area mixing, is useful in evaluating single-stage-ejector performance for compression ratios up to 10 and area ratios up to 100 (see Fig. 10-103 for notation). [Pg.934]

In order to estimate the dependence of the termination rate constant on conversion, molecular weight and temperature, the following is assumed k- becomes diffusion controlled when the diffusion coefficient for a polymer radical Dp becomes less than or equal to a critical diffusion coefficient D ... [Pg.51]

Efremova NV, Sheth SR, Leckband DE (2001) Protein-induced changes in poly(ethylene glycol) brushes molecular weight and temperature dependence. Langmuir 17 7628-7636... [Pg.121]

Before the raw data can be fitted to a thermodynamic model it must first be converted into mass or mole fractions. This operation can be accomplished quickly using a Microsoft Excel spreadsheet that is linked to the Aspen. aprbkp file in order to obtain the solvent molecular weights and temperature dependent densities. The molar volume of Form A Cimetidine is also required for this conversion, however, as is often the case it was not available so a density of 1 g/ml has been assumed. [Pg.61]

The shear viscosity shown in Fig. 3.30 is for a polymer with MJM = 1.5, and it is for the same weight average molecular weight and temperature as in Fig. 3.29. At a temperature of 543 K, the resin shown in Fig. 3.30 has the Newtonian to power law transition beginning at about 10 1/s. By decreasing the polydispersity the transition has moved almost two orders of magnitude higher. The narrow distribu-... [Pg.99]

Since the degree of expansion of the polymer coils is directly dependent on the solvating power of the solvent, under otherwise comparable conditions, both a and [q] provide a measure of the goodness of a solvent high values of a and [q] (at constant molecular weight and temperature) indicate remarkable coil expansion and therefore a good solvent. Low values of a and [q] indicate a bad solvent. For example, the values a for poly(vinyl acetate) in methanol and acetone are 0.60 and 0.72, respectively. [Pg.108]

Fractionation of silicone and fluoro fluids. Since solubility depends on molecular weight and temperature/pressure it is possible, particularly with products such as silicone oils and fluorinated liquids" to separate fractions by solubilization and then pressure-reduction steps. [Pg.39]

The intrinsic viscosity of poly(L-proline) is studied as a function of molecular weight and temperature In five commonly used solvents water, trifluoroethanol, acetic acid, propionic acid, and benzyl alcohol. The characteristic ratio is 14 in water and 18-20 in the organic solvents at 303 K, and d (in 0) / d T is negative. The theoretical rotational potential function obtained by Hopfinger and Walton for u-prolyl-L-prolyl-t-prolyl-t-proline J. Macromol. Scl. Phys. 1969, 3, 171 correctly predicts the characteristic ratio at 303 K but predicts the wrong sign for tfiln < >0) IdT. [Pg.425]

The equation of state for the gas is given by equation 9, which relates mass density, pressure, molecular weight, and temperature. The molecular weight, M, is assumed to be a mean quantity, because its value depends upon the exact composition of the gas. [Pg.410]

For curing compounds, the dependence q((3) can be described by two types of equations. In the first type, it is assumed that, as the gel-point is approached, t— t, the viscosity increases without limit. The second type is an exponential equation, which does not contain any singularities.106 The dependence of the viscosity of polyurethane on molecular weight and temperature can be represented by the following equation ... [Pg.70]

The dependence of s0 and D0 on polymer molecular weight and temperature is also mentioned in Chap. 9. [Pg.604]

Fig. 1. Typical flow curve of commercial LPE. There are five characteristic flow regimes (i) Newtonian (ii) shear thinning (iii) sharkskin (iv) flow discontinuity or stick-slip transition in controlled stress, and oscillating flow in controlled rate (v) slip flow. There are three leading types of extrudate distortion (a) sharkskin like, (b) alternating bamboo like in the shaded region, and (c) spiral like on the slip branch. Industrial extrusion of polyethylenes is most concerned with flow instabilities occurring in regimes (iii) to (v) where the three kinds of extrudate distortion must be dealt with. The unit shows the approximate levels of stress where the sharkskin and flow discontinuity occur respectively. There is appreciable molecular weight and temperature dependence of the critical stress for the discontinuity. Other highly entangled melts such as 1,4 polybutadienes also exhibit most of the features illustrated herein... Fig. 1. Typical flow curve of commercial LPE. There are five characteristic flow regimes (i) Newtonian (ii) shear thinning (iii) sharkskin (iv) flow discontinuity or stick-slip transition in controlled stress, and oscillating flow in controlled rate (v) slip flow. There are three leading types of extrudate distortion (a) sharkskin like, (b) alternating bamboo like in the shaded region, and (c) spiral like on the slip branch. Industrial extrusion of polyethylenes is most concerned with flow instabilities occurring in regimes (iii) to (v) where the three kinds of extrudate distortion must be dealt with. The unit shows the approximate levels of stress where the sharkskin and flow discontinuity occur respectively. There is appreciable molecular weight and temperature dependence of the critical stress for the discontinuity. Other highly entangled melts such as 1,4 polybutadienes also exhibit most of the features illustrated herein...
The linear relation GC°=T observed in Fig. 12 is not sufficient evidence that would unambiguously support Eq. (6) and reveal the interfacial nature of the transition, because a bulk phenomenon may also produce such a temperature dependence. For instance, one might think of melt fracture and write down oc=Gyc that would be independent of Mw where yc would correspond to the critical effective strain for cohesive failure and modulus G would be proportional to kBT. Previous experimental studies [9,32] lack the required accuracy to detect any systematic dependence of oc on Mw and T. This has led to pioneers such as Tordella [9] to overlook the interfacial origin of spurt flow of LPE. It is in this sense that our discovery of an explicit molecular weight and temperature dependence of oc and of the extrapolation length bc is critical. The temperature dependence has been discussed in Sect. 7.1. We will focus on the Mw dependence of the transition characteristics. [Pg.256]

The relaxation time associated with the p mode (p > 1) is related to the largest relaxation time by the expression Xp = x /p. Thus the second mode, i2 = Xr/4, describes changes over distances of one-half the molecule, and so forth. Equation (11.13) suggests that is strongly dependent on molecular weight and temperature. The dependence of this latter parameter on temperature arises from the factor l/T and, especially, the enhancement caused in the molecular mobility (1 / o) by increase in temperature. Accordingly, the Rouse theory is in qualitative agreement with the experimental results. [Pg.427]

The inherent friction factor fo is presumed constant, independent of molecular weight and temperature (see section 3.2), although it may depend on molecular structure to some extent. Knowledge of the mole-culEir weight dependence of the constants and permits the analysis of j(Z, T) at constant ljoc T— Fj) (i.e., at constant f) as is required to determine the function F Z). [Pg.265]

Berry, G. C. The molecular weight and temperature dependence of some dilute-solution properties of linear polymers. J. Polymer Sci. 4B, 161 (1966). [Pg.349]


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See also in sourсe #XX -- [ Pg.105 ]




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