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Logarithmic distribution, Wesslau

Important differential mass-distribution functions (probability density function of mass-distribution) are the most probable distribution (Schulz-Flory), the Schulz-Zimm distribution, the Poisson distribution, Tung distribution, and logarithmic normal distribution (Wesslau distribution) [08IUP2]. Methods for the determination of distribution functions of molar mass are listed in Table 4.1.4. [Pg.57]

Wesslau MWD. The model based on the Wesslau MWD has been described previously (JS). The weight fraction distribution of x-mer, where X is the degree of polymerization (DP), measured as a function of the logarithm of the degree of polymerization, is given by... [Pg.70]

Figure 1. Wesslau and Flory-Schulz differential weight-fraction MWDs on a logarithmic scale, where W is the weight fraction and M is the molecular weight. Both distributions are for M = 10,000 gjmol and M /M = 2.0. Figure 1. Wesslau and Flory-Schulz differential weight-fraction MWDs on a logarithmic scale, where W is the weight fraction and M is the molecular weight. Both distributions are for M = 10,000 gjmol and M /M = 2.0.
Figure 8-4. Integral mass distribution for a Wesslau distribution plotted on logarithmic-cumulative frequency graph paper. The mass fraction w, and viscosity average, ( (instead of, more correctly, < degree of polymerization of the fractions (O) were measured. The number... Figure 8-4. Integral mass distribution for a Wesslau distribution plotted on logarithmic-cumulative frequency graph paper. The mass fraction w, and viscosity average, ( (instead of, more correctly, < degree of polymerization of the fractions (O) were measured. The number...
For widely distributed polymers such as radically polymerized polyethene the Schulz-Flory distribution function is unable to describe the high degree of asymmetry in the distribution. In this case, the Wesslau distribution (logarithmic normal distribution) is used and given by ... [Pg.298]

Plot the Schulz distribution in cumulative form on logarithmic probability paper for xjx = 2. What parameter for the Wesslau model gives the best fit ... [Pg.259]

Compare the cumulative distribution of Problem 6.14 with the Wesslau model on logarithmic probability paper using the product ax as the measure of molecular weight. [Pg.259]


See other pages where Logarithmic distribution, Wesslau is mentioned: [Pg.740]    [Pg.234]    [Pg.69]    [Pg.127]    [Pg.306]    [Pg.229]   


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