Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Composition optimization

Hexafluoiopiopylene and tetiafluoioethylene aie copolymerized, with trichloiacetyl peroxide as the catalyst, at low temperature (43). Newer catalytic methods, including irradiation, achieve copolymerization at different temperatures (44,45). Aqueous and nonaqueous dispersion polymerizations appear to be the most convenient routes to commercial production (1,46—50). The polymerization conditions are similar to those of TFE homopolymer dispersion polymerization. The copolymer of HFP—TFE is a random copolymer that is, HFP units add to the growing chains at random intervals. The optimal composition of the copolymer requires that the mechanical properties are retained in the usable range and that the melt viscosity is low enough for easy melt processing. [Pg.359]

A great variety of polyolefin separator types are now used in Li ion batteries. They must be stable in the organic electrolytes. Typically they may not be properly wetted by the electrolytes of the optimized composition, e. g., mixtures with PC, PE, and others. Therefore some proprietary treatments are needed to provide hydrophilic behavior. Generally, a micro-porous nonwoven morphology with a large surface gives a good wettability. [Pg.72]

The rotary kiln design allows for accepting a mix of high-chlorinated wastes (solvents, chlorinated tars, plastics). Such kilns are usually designed in relation to a specific optimal calorific value in the input. The input mix should be set in such a way that this optimal composition is approached (e.g., PVC waste and other waste streams with a lower calorific value). It is likely that a 100% input of PVC would lead to all kind of problems of temperature control due to its relatively high calorific value. Chlorine contents of over 50% can easily be accepted. A final demand is that the particle size should be 10 x 10 x 10 cm at maximum. This implies that sometimes waste has to be shredded before it can be put into the kiln. Other acceptance criteria have not been published in literature. [Pg.14]

Another very interesting result obtained from these FURS measurements is the difference between adsorbed CO obtained from dissolved CO and that from the dissociation of adsorbed methanol. The shift in wave number is more important with dissolved CO. These shifts may also be correlated with the superficial composition of the alloys, and it was observed that the optimized composition for the oxidation of CO (about 50 at.% Ru) is different from that for the oxidation of methanol (about 15 at.% Ru). FTIR spectra also revealed that the amount of adsorbed CO formed from methanol dissociation is considerably higher on R than on Pt-Ru. For a Ptog-Ru-o i alloy, the amount of linearly adsorbed CO is very small (Fig. 8), suggesting a low coverage in the poisoning species. Moreover, by observing the potentials at which the COj IR absorption band appears, it is possible to conclude that the oxidation of both (CHO)ads and (CO)acis species occurs at much lower potentials on a R-Ru alloy electrode than on pure Pt. [Pg.91]

Later articles dealt with further elaboration of ideas on the driving forces which would have led to the formation of higher aggregates from RNA and amino acids. As had been suggested 20 years earlier, these processes could have taken place in rock pores and could have been driven by hydration and dehydration phases (Kuhn and Waser, 1994). The tiny pores in rocks act as minute test tubes, so optimal compositions could have been determined and replicated using many millions of systems. According to this model, none of the synthetic processes taking place would have required the presence of protein enzymes (see also Lahav, 1999). Just as other... [Pg.230]

MIEC with an additional ionically conductive phase, such as GDC or SDC, typically extends the electrochemically active region still further due to the higher ionic conductivity of GDC and SDC compared to that of the perovskites. The optimal composition of a two-phase composite depends in part on the operation temperature, due to the larger dependence of ionic conductivity on temperature compared to electronic conductivity. A two-phase composite of LSCF-GDC therefore has an increasingly large optimal GDC content as the operating temperature is reduced [14], A minimum cathode Rp for temperatures above approximately 650°C has been found for 70-30 wt% LSCF-GDC composite cathodes, while at lower temperatures, a 50-50 wt% LSCF-SDC composite cathode was found to have a lower Rp [15]. [Pg.244]

Song, J. M., Cha, S. Y., and Lee, W. M. Optimal composition of polymer electrolyte fuel cell electrodes determined by the AG impedance method. Journal of Power Sources 2001 94 78-84. [Pg.105]

With the use of the regression models a partition coefficient for each compound and a selectivity for each pair of substances can be predicted in each composition of the extraction liquid within the factor space. Figure 7.1 demonstrates the response surfaces of the partition coefficients of two compounds i and j in a binary extraction liquid i.e. an extraction liquid composed of two solvents). The compositions where the partition coefficients of i and j are optimal are represented by O, and 0, respectively. The optimal compositions with regard to the selectivity is represented by 0 . Two situations are given. [Pg.272]

Figure 7.15. Optimal composition of PVDF/PMMA blend based on specified properties. Figure 7.15. Optimal composition of PVDF/PMMA blend based on specified properties.
In this section of the research, the aim is to investigate the optimal composition of the Ni(II)-containing solution as a function of the Ni(II) reduction rate, the total amount of Ni reduced, the fraction of NiS formed and PAN-hbre properties, such as specific electrical resistance. In Fig. 11.2, data are shown for the variation of Ni(II) and rongalite concentration as a function of time and temperature starting from a constant initial Ni(II) concentration, while the initial rongalite concentration was increased. It must be pointed out that in this section of the research, no fibre was immersed in the solution, so the pure kinetic parameters of the reduction reaction of Ni(II) by rongalite is studied. Similar experiments were performed with different initial Ni(II) concentrations. [Pg.296]

This strategy of integrating neural networks with genetic algorithms has been used to search for the optimal composition of a catalyst for the ammoxidation of propane [62]. In that case, no experiments were performed the network was trained with data published earlier by other authors [63]. However, those data were for only 26 catalysts, thus forming a quite small training set. Even more importantly, the predicted performance of the optimal catalyst, expressed by means of acrylonitrile yield, was not experimentally verified. [Pg.167]

A researcher s objective is to the establish optimal composition of a composite rocket propellant by ballistic properties such as burning rate and specific impulse. To achieve this, an extreme vertices design of experiment has been set up for these three components of the composition ... [Pg.517]

By overlapping the simplex with specific impulse and burning rate contour lines, we can determine the optimal composition of a composite rocket propellant in a very simple way. [Pg.520]

We seek to determine an optimal composition of a multicomponent solvent utilized to remove hydrocarbons from yeast. The major index of purification here is the hydrocarbon content in biomass upon extraction (y). For technological and economic reasons, the experimental design is accomplished in a local section of the concentration, Fig. 3.23. [Pg.526]

The research objective has been to define the durability of a coating depending on mixture composition Ni-Cr-B. Besides, one had to determine the optimal composition of the given three-component mixture. Since there is a linear correlation between resistance on wear-out and hardness of coating, Rockwell hardness (HRC) has been chosen as the system response. Based on preliminary information, it is known that the response surface is smooth and continuous. Hence, it may be... [Pg.562]

Two other findings from the MCAT experiments have relevance to achieving total biosynthesis in vitro. Investigations into the effects of varying protein concentrations on polyketide production demonstrated that the optimal composition of a minimal PKS is not stoichiometric in each of the components (KS, CLF, and ACP) [30], Increasing the proportion of the ACP relative to the KS/CLF pair caused an enhancement in turnover even at more than 100-fold excess of ACP, there appeared to be no indication of saturation. This result has important implications for the composition of efficient one-pot biosynthetic assemblies. The experiments also illustrated that domains can be usefully engineered to improve yields. In this case, the ACP was modified to prevent its inactivation by formation of an internal disulfide between its active thiol and a remote cysteine. Optimizing... [Pg.438]

Fig. 8. a Comparison of the spinodal curves %Nt(fA) for diblock and different ABn miktoarm copolymers with n=2,3, and 4. The experimental results from an AB2 ( ) and the two AB3 ( , Q) miktoarm stars are shown together with the investigated temperature range (vertical lines), b Critical values of %Nt plotted as a function of the number of arms of the B blocks. The dependence of the optimal composition corresponding to the minima of the spinodal curves are also shown. The line is only a guide to the eye (reproduced with permission from [78])... [Pg.113]

Boisson et al. investigated Nd(N(SiMe3)2)3-based catalyst systems in heptane and toluene. At an optimized composition of Nd(N(SiMe3)2)3/TIBA/ DEAC = 1/40/2 the catalyst system was more active in heptane than in toluene and yields the higher cis- 1,4-content in heptane (97.6%) than in toluene (93.1%) [318,320]. [Pg.63]

To avoid these kinds of problems, some new experimental designs have been proposed [26,27], Called optimal composite sequential designs (OCSD), these designs are an extension of optimal sequential designs (OSD) in that they are optimal for more than one type of model. The structure of a typical OCSD is shown in Figure 8.24. [Pg.314]


See other pages where Composition optimization is mentioned: [Pg.843]    [Pg.265]    [Pg.208]    [Pg.68]    [Pg.260]    [Pg.191]    [Pg.64]    [Pg.367]    [Pg.183]    [Pg.367]    [Pg.303]    [Pg.138]    [Pg.37]    [Pg.113]    [Pg.598]    [Pg.330]    [Pg.8]    [Pg.266]    [Pg.4]    [Pg.125]    [Pg.265]    [Pg.241]    [Pg.447]    [Pg.118]    [Pg.85]    [Pg.167]    [Pg.207]    [Pg.555]    [Pg.21]    [Pg.122]    [Pg.213]   
See also in sourсe #XX -- [ Pg.92 , Pg.93 , Pg.94 ]




SEARCH



Composition Optimization: constraints)

Composition optimization copolymers

Design and optimization of cement-based composites

Effect of Composition and Temperature on Optimal Salinity

Elemental Composition of Gas-Sensing Material Should Be Optimized

Mobile-phase composition, optimal

Mobile-phase composition, optimal determination

Optimal Fibre Orientation in Concrete-like Composites

Optimal catalyst composition

Optimization central composite design

Optimization of Outlet Compositions

Optimization of SPC Composition

Optimization of a Composite Laminate

Optimization of composition

Optimization of the Rubber Matrix Composition RubCon for Strength

Optimization, catalyst layer composition

Optimizing Interfacial Adhesion in Wood-Polymer Composites

Refractory metals compositional optimization

Response Surface Methodology optimal compositions

Silicate polymer concrete composition optimization

Target compositions optimization

© 2024 chempedia.info