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Jul 13, 2015 · Convert PDF to Word Using C# The first step will be to get the PdfBox package using the Nuget Package Manager. Now, import the following DLLs into your .cs file: The third step will be to install the DocX NuGet Package from the NuGet Package Manager: Let's read a PDF file and try to get the text from it.

In the commercial use of copolymerization it is usually desirable to obtain a copolymer with as narrow a distribution of compositions as possible, since polymer properties (and therefore utilization) are often highly dependent on copolymer composition [Athey, 1978]. Two approaches are simultaneously used to minimize heterogeneity in the copolymer composition. One is the choice of comonomers. Choosing a pair of monomers whose copolymerization behavior is such that F1 is not too different from f1 is highly desirable as long as that copolymer has the desired properties. The other approach is to maintain the feed composition approximately constant by the batchwise or continuous addition of the more reactive monomer. The control necessary in maintaining f1 constant depends on the extent to which the copolymer composition differs from the feed. Although the monomer reactivity ratios in living radical polymerizations are generally the same as in nonliving polymerizations, there is a difference in the distribution of copolymer compositions for different polymer molecules [Hawker et al., 2001; Matyjaszewski and Xia, 2001]. All polymer chains do not have the same composition in nonliving systems because chains are initiated at different times in a polymerization and propagate under different feed compositions as conversion progresses. Almost all polymer chains have the same composition in living systems because all chains are initiated at time close to zero and propagate



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Click the Insert tab on the Ribbon. Click Photo Album. Click New Photo Album. The Photo Album dialog box appears.

where v is the canonical conjugate variable corresponding to u:





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throughout the reaction. Even though there is a gradient in copolymer composition with time, all chains have the same composition gradient. The synthesis of a gradient copolymer is sometimes desirable in a living polymerization to produce a copolymer with a variation in composition along the polymer chain. This is achieved either by carrying out the copolymerization without addition of monomer to maintain a constant feed composition or addition of monomer to deliberately change the feed composition from its original state. 6-2f Experimental Evaluation of Monomer Reactivity Ratios Most procedures for evaluating r1 and r2 involve the experimental determination of the copolymer composition for several different comonomer feed compositions in conjunction with a differential form of the copolymerization equation (Eq. 6-12 or 6-15). Copolymerizations are carried out to as low degrees of conversion as possible (about <5%) to minimize errors in the use of the differential equation. The copolymer composition is determined either directly by analysis of the copolymer or indirectly by analysis of comonomer feed. The techniques used for copolymer analysis include radioisotopic labeling and spectroscopy (IR, UV, NMR). Comonomer feed compositions are typically analyzed by high-pressure liquid chromatography (HPLC) or gas chromatography (GC). The techniques for analyzing comonomer compositions are inherently more sensitive than those for copolymer composition. However, this is offset by the fact that the determination of copolymer composition by comonomer feed analysis requires the meeasurement of small differences between large numbers. Various methods have been used to obtain monomer reactivity ratios from the copolymer composition data. The most often used method involves a rearrangement of the copolymer composition equation into a form linear in the monomer reactivity ratios. Mayo and Lewis [1944] rearranged Eq. 6-12 to

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(6.39)

r2 & ' ! M1 d M2 r1 M1 1 1 M2 d M1 M2 6-36

Data for the feed and copolymer compositions for each experiment with a given feed are substituted into Eq. 6-36 and r2 is plotted as a function of various assumed values of r1 . Each experiment yields a straight line and the intersection of the lines for different feeds gives the best values of r1 and r2 . Any variations observed in the points of intersection of various lines are a measure of the experimental errors in the composition data and the limitations of the mathematical treatment (see below). The composition data can also be treated by linear least-squares regression analysis instead of the graphical analysis. Fineman and Ross [1950] rearranged Eq. 6-15 to

(6.40)

G r1 F r2 6-37

Tv.(a) =

where G X Y 1 =Y; F X 2 =Y; X M1 = M2 , and Y d M1 =d M2 . G is plotted against F to yield a straight line with slope r1 and intercept r2 . The experimental composition data are unequally weighted by the Mayo Lewis and Fineman Ross plots with the data for the high or low compositions (depending on the equation used) having the greatest effect on the calculated values of r1 and r2 [Tidwell and Mortimer, 1965, 1970]. This often manifests itself by different values of r1 and r2 depending on which monomer is indexed as M1. Kelen and Tudos [1975] re ned the linearization method by introducing an arbitrary positive constant a into Eq. 6-37 to spread the data more evenly so as to give equal weight to all

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h r2 i r2 Z r1 x a a 6-38

(6.41)

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