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Copolymer composites sensors

Polymerization process control can benefit significantly from using online state estimation techniques. In general, online control of polymer properties such as molecular weight, MWD, copolymer composition, MI, density, etc. is difficult, mainly because of the lack of adequate online or in-process sensors. Therefore, many of these polymer property parameters are controlled indirectly by controlling first-level process variables such as temperature, pressure, and the flow rates of various reactants, solvents, and catalysts. When some deviations in polymer properties are detected through laboratory sample analysis, certain reactor variables need to be adjusted. Extensive plant experience might be required to make such process adjustments, or model-based online state estimator can be used. [Pg.2344]

Various other on-line sensors have been proposed. Wang and Schork [45] have used conductivity of the emulsion to distinguish the three intervals of emulsion polymerization. Hauptmann et al. [46] and Aposttdo et al. [47] have used tire velocity of sound in an emulsion to infer monomer conversion. Alonso et aL [48], and Dimitratos et al. [49] have used residual monoirm composition analysis tb infer copolymer composition. [Pg.179]

The Kalman filter is an optimal estimator for the estimation of the states of a dynamic system from a set of measurements which are a subset of the set of states (or linear combinations of states). As such it can be used for noise filtering, estimation of unmeasured states, rectification of multiple sensors for the same property, and prediction of future values of states. Kalman filtering has been used in a number of polymerization applications [50,51], including the estimation of copolymer composition during emulsion copolymerization [49]. [Pg.588]

The incorporation of a composition sensor is important when analyzing PP copolymers because both tacticity and branching play a role in the separation by crystallizability, as discussed in Sect. 2.2. The analysis of a high impact PP copolymer is shown in Fig. 19, where a small peak of linear PE on the tail of the PP curve is easily identified by the sudden change in methyl content. [Pg.228]

The TREF-GPC analysis can be performed with an additional composition sensor (CH3 sensor), as discussed in previous sections. This is especially important for ethylene propylene copolymers or blends since crystallizability is influenced in the case of PP by both tacticity and ethylene incorporation, as discussed for Fig. 4. The composition sensor provides a means to assign the crystallization temperature to one or the other polymer. The analysis of a high impact PP containing a significant amount of PE homopolymer is shown in Fig. 40. A small peak eluted before the iPP is clearly associated with PE by having a significantly lower methyl content than the overall concentration response. The PE peak is eluted on the tail of the iPP where other EP species are also eluted (as discussed with Fig. 19) and the molar mass of the PE peak could be differentiated from the polypropylene part. [Pg.244]

Nickel, A.M.L. Seker, F. Ziemer, B.P. Ellis, A.B. Imprinted poly (acrylic acid) films on cadmium selenide. A composite sensor structure that couples selective amine binding with semiconductor substrate photoluminescence. Chem. Mater. 2001, 13, 1391-1397. Sallacan, N. Zayats, M. Bourenko, T. Kharitonov, A.B. Willner, I. Imprinting of nucleotide and monosaccharide recognition sites in acrylamidephenylboronic acid-acrylamide copolymer membranes associated with electronic transducers. Anal. Chem. 2002, 74, 702 712. [Pg.488]

The really interesting issues in control of polymerization are not in the control of the operating conditions (flow, temperature, etc.). These loops are controlled in much the same way as would be done in any other chemical process. The real interest is in the control of polymer properties (monomer conversion, MW, particle size, copolymer composition, etc.). The next sections will review a number of control studies, each using a different approach to deal with the control problems specific to polymer property control (lack of sensors, one-sided control, nonlinearities, etc.). This will be followed by a discussion of an alternative approach to polymerization reactor control, statistical process control, and a discussion of the optimization of operating trajectories. [Pg.184]

As more complex copolymers are developed, the range of monomer properties in any one recipe will widen. The chances of all monomers being insoluble in the continuous phase are small. Therefore the effects of monomer distribution between the phases, especially on the copolymer composition, will be important. Prediction of phase distribution is not easy in systems that are thermodynamically nonideal and it may become necessary to develop new sensors that monitor the composition of the continuous phase. [Pg.243]

Recent developments in polymer chemistry have allowed for the synthesis of a remarkable range of well-defined block copolymers with a high degree of molecular, compositional, and structural homogeneity. These developments are mainly due to the improvement of known polymerization techniques and their combination. Parallel advancements in characterization methods have been critical for the identification of optimum conditions for the synthesis of such materials. The availability of these well-defined block copolymers will facilitate studies in many fields of polymer physics and will provide the opportunity to better explore structure-property relationships which are of fundamental importance for hi-tech applications, such as high temperature separation membranes, drug delivery systems, photonics, multifunctional sensors, nanoreactors, nanopatterning, memory devices etc. [Pg.131]

A strain of yeast and a strain of bacterium were co-immobilized to fabricate a biochemical oxygen demand (BOD) sensor based on sol-gel derived composite materials97. This novel type of biosensor was developed for water monitoring and was used to determine the BOD values of OECD synthetic wastewater, domestic wastewater, and lake waters. The microorganisms Trichosporon cutaneum and Bacillus subtilis were coimmobilized in the sol-gel composite material, which was composed of silica and the grafting copolymer of poly (vinyl alcohol) and 4-vinylpyridine (PVA-g-P(4-VP)). [Pg.375]

Figure 18.11 illustrates atomic force microscopy (AFM) pictures of gold-covered silica substrates covered with composite particles. These particles were immobilised by the simultaneous electropolymerisation of pyrrole. Thus, even traditional MAA-EDMA copolymer particles can readily be electrically connected to an electrode, thereby obtaining close contact between the transducer and the recognition sites within the polymer. The device is being developed into an amperometric morphine sensor. [Pg.434]

Fig. 19.1 Composition space of BPA-HQ-RS copolymers evaluated using high-throughput sensor-based system. Data points signify materials that were employed to build quantitative structure-property relationships. Numbers are percent of monomers... Fig. 19.1 Composition space of BPA-HQ-RS copolymers evaluated using high-throughput sensor-based system. Data points signify materials that were employed to build quantitative structure-property relationships. Numbers are percent of monomers...
Fig. 19.8 Property/composition mapping of solvent-resistance of BPA-HQ-RS copolymers in different solvents (a) THF, (b) chloroform, (c) MEK. Numbers in the contour lines are normalized sensor frequency shift values (Hz per mg of polymer in a well). Reprinted with permission from Potyrailo et al.23 Copyright 2006 American Chemical Society... Fig. 19.8 Property/composition mapping of solvent-resistance of BPA-HQ-RS copolymers in different solvents (a) THF, (b) chloroform, (c) MEK. Numbers in the contour lines are normalized sensor frequency shift values (Hz per mg of polymer in a well). Reprinted with permission from Potyrailo et al.23 Copyright 2006 American Chemical Society...
Fullerene containing systems are also of interest and have been covered in some detail in terms of applications and properties." Strong photoenergy transfer has been observed between pendant fullerene groups in PPV copolymers and main chain chromophores, especially at low temperatures." In PPV/fullerene composite films, an increase in the substituted side-chain length has been found to lower the energy of the emission bands while the fullerene dopant also quenched the emissions. In this way the electronic affinity of the PPVs can be controlled." Conjugated polyelectrolytes also have applications as fluorescent sensors." ... [Pg.224]

The determination of the composition of ethylene-propylene copolymers at a temp, of200C by means of an IR fibre-optic sensor based on sapphire fibres was studied. LDPE and PP were also investigated. Data are presented on spectra of LDPE and PP at 200C obtained using the sensor, CH3/CH2 ratio after curve fitting versus C2 content, ratio of absorbance at 2950 and 2852/cm versus C2 content and calibration graph of multivariate calibration. 31 refs. [Pg.70]

The effect of hydrogel composition was investigated by studying the resistance responses of identically fabricated hydrogel membranes of different HEMAiDMA ratios. Because the molar composition of the hydrogel copolymer determines the concentration of ionizable DMA groups within the polymer, sensors of different... [Pg.1202]


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See also in sourсe #XX -- [ Pg.586 ]




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