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Polymer flow charts

Figure 1. Flow chart of the Polymer Analysis program. The program Is entered from a larger program, NMRl. A database must be chosen or created for the spectrum at hand and a statistical model chosen. Options In the main menu Include calculation of probabilities associated with the model, simulation of spectra, and modification of the peak table or database. Figure 1. Flow chart of the Polymer Analysis program. The program Is entered from a larger program, NMRl. A database must be chosen or created for the spectrum at hand and a statistical model chosen. Options In the main menu Include calculation of probabilities associated with the model, simulation of spectra, and modification of the peak table or database.
Computerized Analytical Approach. The logic flow-chart for the analysis is shown in Figure 1. An assumption is first made about the nature of the polymer mixture. For example, in a two-component mixture different combinations of statistical... [Pg.175]

It can be shown that multistep extraction is advisable, i.e. it is always better to use several small portions of solvent (e.g. 5 x 20 cm3) to extract a sample than to extract with one large portion (e.g. 1 x 100 cm3) [77]. As mentioned already, for general purposes a recovery of greater than 90% is usually considered acceptable in polymer/additive analysis no analytical recovery is required. A flow-chart for LSE is available [3]. [Pg.61]

SPE is a useful device for working up of polymer additive dissolutions the apolar polymer is retained on the Cj 8 sorbent, while analytes may be eluted. In the fractionation of dissolutions it is advantageous to make use of the differences in polarity and affinity of the components with the sorbent. SPE of applied samples may be done with cartridges or disks, either off- or on-line. A flow-chart for the use of SPE has been published [3], Applications of SPE have been described in several monographs [511,512]. [Pg.129]

Here the technique was first developed in a statistical mechanical framework [141], with in fact applications of the technique to other lattice combinatorial problems going back [145] to the 1940s. In this area the most focus has been on the infinite-length infinite-width limit as the solution for an extended 2-dimensional surface. In the resonance-theoretic context the treatment of some polymer chains of arbitrary width has also been made [142], A flow chart for subroutines for the recursion of the preceding section and its use in developing transfer matrices for finite-width chains is described in [143], Ref. [145] gives a... [Pg.469]

Figure 2. Flow chart on the use of (i) the free volume theory of Vrentas and Duda, to obtain a "global perspective and (ii) the statistical mechanical model of Pace and Datyner, to obtain an "intermediate perspective on the scale of parameters describing polymer chain segments. Figure 2. Flow chart on the use of (i) the free volume theory of Vrentas and Duda, to obtain a "global perspective and (ii) the statistical mechanical model of Pace and Datyner, to obtain an "intermediate perspective on the scale of parameters describing polymer chain segments.
Figure 3. Flow chart on the use of force field (FF) and molecular dynamics (MD) calculations, to obtain a "local" perspective including the dynamics of the polymer and the penetrant. Figure 3. Flow chart on the use of force field (FF) and molecular dynamics (MD) calculations, to obtain a "local" perspective including the dynamics of the polymer and the penetrant.
The solid substrates were introduced into the laccase-LD complex solutions placed in a 50 mL round bottom flasks and the mixtures were magnetically stirred at room temperature. After the end of the process the reaction products were separated and purified by the following procedure initially the mixtures were centrifuged at 2800 G force for 60 min, the clear aqueous solution of polymer-enzyme complex was filtered through 0.45 pm Whatman cellulose filter and kept at 4 C for fiirther oxidations. The yellow to brown precipitate was collected, washed twice with DI water and dried at room temperatiu e under vacuum. It was analyzed by SEC in THE. The separation of the oxidation product(s) was achieved by preparative fractionation on the same SEC system. The THE solvent in each fraction was evaporated and the dry contents were analyzed spectroscopically. The general sequence of procedures is depicted on the flow chart in Scheme 1. [Pg.114]

FIGURE 5.71 Flow chart of a separation unit using hollow fiber membranes for oil-surfactant-water emulsion systems. (After Xu, Z. L., Chung, T. S., Loh, K. C., and Lim, B. C. 1999. /. Appl. Polym. Sci., 158,41. With permission.)... [Pg.657]

Figure 1. Flow chart for the preparation of ceramic components via polymer pyrolysis. Figure 1. Flow chart for the preparation of ceramic components via polymer pyrolysis.
The following flow charts can be followed to demonstrate the outcome of likely imprinting effect in a newly prepared MIP. In this strategy, it is supposed that all polymers/materials have been sufficiently washed and worked up, and that control polymers/materials have been prepared and analysed. [Pg.7]

Figure 5 A flow chart for the preliminary optimization of a liquid chromatographic method using a molecular imprinted polymer as stationary phase. Figure 5 A flow chart for the preliminary optimization of a liquid chromatographic method using a molecular imprinted polymer as stationary phase.
A flow chart demonstrating the protocol is shown in Fig. 6. The procedure has been demonstrated for poly(3-methylthiophene) films, by analysis of frequency response as a function of time during film electropolymerization short (long) time responses represent the acoustically thin (thick) film scenario [24]. Film mass (whether or not directly accessible from A/ data) defines the product hypy, so (as shown in Fig. 6 [24]) a plot of hy versus py is a hyperbola. As film mass (polymer coverage) increases, a series of hyperbolae are generated. The acoustically thin film data (A/ and Q) define the unique solution (of the infinity of solutions on the hyperbola) for p as indicated in Fig. 6 [24] this value is projected across all the hyperbolae. [Pg.243]

Fig. 2.2. Simplified flow chart of the Phillips process (solution phase polymerisation) (Elias 1992). The solvent (for example isobutane), ethylene, co-monomers and the catalyst are fed into the reactor. The polymer solution is de sed (flashed) from the reactor through a gas separator after a certain reaction time. In a cleaning nnit (centrifuge, washing device, drier) the polymer is separated out and ethylene and solvent residues are processed. The polymer emerges in the drier in the form of snow white flakes. Flakes, carbon black, stabiliser and further additives, for example Ca-stearate, are mixed in a mixer and this mix is fed into an ex-tmder at an adequate mix raho with the polymer flakes. Here the mix is melted, homogenised and finally granulated. The black pellets are then transported to the storage facihties... Fig. 2.2. Simplified flow chart of the Phillips process (solution phase polymerisation) (Elias 1992). The solvent (for example isobutane), ethylene, co-monomers and the catalyst are fed into the reactor. The polymer solution is de sed (flashed) from the reactor through a gas separator after a certain reaction time. In a cleaning nnit (centrifuge, washing device, drier) the polymer is separated out and ethylene and solvent residues are processed. The polymer emerges in the drier in the form of snow white flakes. Flakes, carbon black, stabiliser and further additives, for example Ca-stearate, are mixed in a mixer and this mix is fed into an ex-tmder at an adequate mix raho with the polymer flakes. Here the mix is melted, homogenised and finally granulated. The black pellets are then transported to the storage facihties...
As can be seen from the process flow chart (Fig. 3.1), in order to fabricate and assemble a resorbable biotextile device, a resorbable polymer has to withstand exposure to a range of potentially hazardous environments, such as thermal processing, mechanical abrasion, chemical treatment (lubricants, solvents, binders etc.), and atmospheric conditions, which include relative humidity. Each of these factors can drastically affect the rate of resorption and can cause premature degradation of the resorbable implant. [Pg.21]

FIGURE 1.43. Hillman-Bruckenstein diagnostic flow chart (in terms of the integral quantities Q, AM, and 4>) for evaluating the rate-determining process in redox switching in electroactive polymer films. [Pg.115]

Table 7.3 shows the relation of the polymer structures and their sizes, superimposed on the range of structural sizes observable by the various microscopy and scattering techniques. An important point is the overlap among the various techniques, which makes complementary analyses possible. For example, study of spheru-litic structures is shown to be possible by optical, SEM or TEM methods. A flow chart (Fig. 7.1) is provided at the end of this section as an aid in the final selection of a characterization technique. [Pg.359]

Fig. 8. Model-1 flow chart for computing polymer blend morphology during compounding in a twin-screw... Fig. 8. Model-1 flow chart for computing polymer blend morphology during compounding in a twin-screw...
In troubleshooting of molded part defects, it is important to look at the shot size, injection speed, injection pressure, cushion, decompression, and nozzle tip. The following troubleshooting flow charts will help to resolve a majority of the problems. The forming of weld lines wherever polymer flow fronts meet is one of them [1]. [Pg.90]

A flow-chart of NIRS data analysis is shown in Fig. 1.11. There are two different procedures that are commonly used for NIR data analyses (i) the calibration step, during which (linear combinations of) wavelength responses are selected and related to the property, using calibration samples with known properties and (ii) the validation step, during which the calibration is tested with additional samples that have known properties. In general, calibrations of NIR responses to polymer characteristics can be done for chemical properties (such as composition,... [Pg.38]

If polymers are examined spectroscopically without removing additives such as fillers, plasticisers, stabilisers, lubricants, etc. then their infrared spectra may be affected drastically by the presence of these substances. Also, if care has not been taken during the preparation of a sample, bands due to contaminants such as water, silicate, phthalates, polypropylene (from laboratory ware), etc, may appear in the spectra and so result in some confusion. Hence, the flowcharts given below should be used with some degree of caution. In order to confirm an assignment made by use of the flow chart, it is important finally to make use of known infrared reference spectra. However, it should be borne in mind that stereoregular polymers may have spectra which differ from their atactic form and that sample preparative techniques may also affect the spectrum obtained for a particular polymeric sample. [Pg.279]


See other pages where Polymer flow charts is mentioned: [Pg.158]    [Pg.370]    [Pg.60]    [Pg.158]    [Pg.621]    [Pg.743]    [Pg.158]    [Pg.654]    [Pg.187]    [Pg.207]    [Pg.417]    [Pg.90]    [Pg.638]    [Pg.190]    [Pg.120]    [Pg.68]    [Pg.365]    [Pg.123]    [Pg.201]    [Pg.1234]    [Pg.1431]    [Pg.487]    [Pg.649]    [Pg.256]    [Pg.207]   
See also in sourсe #XX -- [ Pg.291 , Pg.292 , Pg.293 , Pg.294 ]




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Flow charting

Polymer flow

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