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Predictions, of products

Finally, there have been numerous attempts to develop formulas that could be used to predict creep information under varying usage conditions. In practically all cases the suggestions have been made that the calculated data be verified by actual test performance. Furthermore, numerous factors have been introduced to apply such data to reliable predictions of product behavior. [Pg.77]

Donnelly, T.J., Yates, I.C., Satterfield, C.N. 1988. Analysis and prediction of product distributions of the Fischer-Tropsch synthesis. Energy Fuels 2 734. [Pg.241]

Limited information is available regarding the nature of the degradation products formed from silicone surfactants, although characteristic aspects of silicone chemistry (i.e. influence of chain length and ring size on compound stability) [23,29] can be used to aid prediction of product formation and distribution. [Pg.664]

This example demonstrates that it is possible to make reasonably accurate predictions of production after the pattern of production is established. However, caution must be exercised by the professional when developing these data. The example cited occurred during a period when the water table at the facility was within the normal ranges. If the water table had risen, or fallen substantially (for any reason), the pattern of production would have changed, and the calculations would not be considered reliable. Estimation of reserves determined by these methods can be fairly reliable if the data used are based on adequate and regular measurements, and are applied with a reasonable measure of professional judgment. [Pg.342]

Another area to which the MM method can be advantageously applied is the prediction of product distribution under thermodynamic control, where the errors in energy calculations tend to cancel if structurally related products are compared (120). A remarkable example is the dodecahydrogenation of phenanthrene, in which 25 structural isomer products are possible, each having one to four stable... [Pg.168]

Figure 10. Network of bond-breaking and -making patterns explored by the reactivity functions leading to the correct prediction of product 3 from... Figure 10. Network of bond-breaking and -making patterns explored by the reactivity functions leading to the correct prediction of product 3 from...
Onda K, Kyakuno T, Hattori K, Ito K (2004) Prediction of production power for high-pressure hydrogen by high-pressure water electrolysis. J Power Sources 132 64-70... [Pg.95]

The Subtle Role of Symmetry. An appeal to symmetry seems like one of the least controversial and most rigorous bases for making an argument about the behavior of a physical system. And indeed it is. However, it is possible for arguments that appear to be based solely on symmetry actually to depend on some additional ancillary assumptions that may be less obviously valid. An important example for the present discussion concerns prediction of product ratios from reactive intermediates. [Pg.949]

The FC approach can also be developed from scattering theory (36,66). This method leads to the reliable prediction of product energy distributions (36-38,67,68). [Pg.138]

Soft sensors use available, readily measurable variables to determine product properties critical to prediction of product quahty. Ideally the soft sensors are continuously monitored and controlled, or monitored on a relevant timescale. They need to make predictions quickly enough to be used for feedback control to keep process variability to a minimum. [Pg.439]

Thus, in order to determine the processability of petroleum a series of consistent and standardized characterization procedures are required (ASTM, 1995). These procedures can be used with a wide variety of feedstocks to develop a general approach to predict processability. The ability to predict the outcome of feedstock (especially heavy oils and residua) processing offers (1) the choice of processing sequences (2) the potential for coke lay-down on the catalyst (3) determining the catalyst tolerance to different feedstocks (4) predictability of product distribution and quality and (5) incompatibility during processing and incompatibility of the products on storage. [Pg.53]

Nucleophiles can be introduced at C4 of 1,2-type 64 (Scheme 15) and at C4 or C5 of 1,3-type N-alkoxyazolium salts 67 (Scheme 16) by an allylic displacement of ROH and loss of a proton. This reaction mode competes with the nucleophilic addition followed by elimination of ROH described in Section 1.5.1.3. Consequently all ring protons in 1,2-type and 1,3-type azoles become activated but predictions of product distribution turn difficult. In all cases the net result is replacement of hydrogen at the heteroaromatic nucleus with a nucleophile. The sequence can be performed in one pot. [Pg.11]

However, even the complete understanding of these areas will not suffice to reap the full benefits embedded in the macromolecular nature of polymeric materials, which are inherent in the naturally occurring and synthetic polymeric building blocks. For that, a priori quantitative prediction of product properties, made of yet nonexistent chains or combinations of chains of different monomeric building blocks from basic principles, requiring information of only the macromolecular structure and processing conditions, is needed. [Pg.21]

MD simulations are used in various ways to study CYP-ligand interactions. As shown in Table 1, applications for homology model optimization and validation of model stability and the prediction of sites of catalysis in substrates are becoming common practice. Prediction of substrate and inhibitor binding affinity and orientation have been reliable in the cases of CYP101 (cam), 2B4, and 1 Al, and combined with QM calculations on the substrate for predictions of product formation for CYP101 (cam), 102 (BM3), 107A (EryF), and 2E1. [Pg.457]

It proved possible to estimate the reactivity of a particular nitrogen in an azine ring, hence the ratio of isomeric quaternary salts which would be expected, and the approximate second-order rate constant for methylation of the azine. The method is, however, better suited to prediction of product ratios than rate coefficients, since steric effects largely cancel in the former. Examples of the predictive value of this approach will be included with the discussion of the individual azines. [Pg.132]

The rational design of a reaction system to produce a polymer with desired molecular parameters is more feasible today by virtue of mathematical tools which permit prediction of product distribution. New analytical tools such as gel permeation chromatography are being used to check theoretical predictions and to help define molecular parameters as they affect product properties. There is a laudable trend away from arbitrary rate constants, but systems other than styrene need to be treated in depth. A critical review of available rate constants would be useful. Theory might be applied more broadly if it were more generally recognized that molecular weight distributions as well as rates can be calculated from combinations of constants based on the pseudo-steady-st te assumption. These are more easily determined than the individual constants in chain reactions. [Pg.39]

Ferraro JR, Basile LJ (1978) Fourier transform infrared application to national problems In Ferraro JR, Basile U (eds) Fourier transform infrared spectroscopy - applications to chemical systems, Vol 4 Academic Press, New York, 275-302 Ferraro JR, Rein AJ (1985) Application of diffuse reflectance spectroscopy in the far-infrared region In Ferraro JR, Basile LJ (eds) Fourier transform infrared spectroscopy -applications to chemical systems, Vol 4 Academic Press, New York, 244-282 Frank IE, Feikema J, Constantine N, Kowalski BR (1984) Prediction of product quality from spectral data using the partial least squares method J Chem Inf Comput Sci 24 20-24 Fuller MP, Griffiths PR (1980) Infrared microsampling by diffuse reflectance Fourier transform spectrometry Appl Spectrosc 34 533-539... [Pg.106]

The presence of nucleation can be determined by product screening If particles of size less than the seeds can be found, then nucleation is present. In such a case, prediction of product crystal size distribution requires a knowledge of nucleation kinetics see Randolph and Larson [3] for the basic mathematics. [Pg.406]

This simplifies predictions of product composition in multicomponent copropagations the results from binary copolymerizations can be used in the calculation... [Pg.320]

T. Kuroki, T. Sawaguchi, N. Ikebayashi, T. Ikemura and N. Sakikawa Pyrolysis of polystyrene-prediction of product yield, Bull. Chem. Soc. Jpn., 11, 1766-1772 (1976). [Pg.190]

Tel. 203-432-6278, fax 203-432-6144, e-mail bill doctor.chem.yale.edu Computer-Assisted Mechanistic Evaluation of Organic reactions and prediction of products. pK and reaction enthalpy predictions. VAX. [Pg.429]

According to the Woodward-Hoffmann rales, five concerted transition states are possible for the Claisen as well as the closely related Cope rearrangements chair, boat, twist, cross and plane (Table 6). Only the chair and boat TS have to be considered, as twist, cross and plane are antarafacial-anta-rafacial processes and require highly elevated temperatures. - For the correct prediction of product stereochemistry it is nevertheless crucial to know the preference for chair- or boat-like transition state in the actual 3,3-sigmatropic shift. [Pg.857]

From literature, a great amount of work on biomass pyrolysis, including modeling of pyrolysis, has been found over the last two decades. However, the most of modeling works deals with low heat flux conditions or an extremely high heating rate (flash pyrolysis), or focus on the prediction of product distribution [1-3]. The comprehensive... [Pg.1091]


See other pages where Predictions, of products is mentioned: [Pg.141]    [Pg.329]    [Pg.675]    [Pg.173]    [Pg.269]    [Pg.229]    [Pg.129]    [Pg.595]    [Pg.263]    [Pg.976]    [Pg.457]    [Pg.191]    [Pg.388]    [Pg.89]    [Pg.44]    [Pg.323]    [Pg.171]    [Pg.386]    [Pg.101]    [Pg.180]    [Pg.2299]   
See also in sourсe #XX -- [ Pg.145 , Pg.146 , Pg.147 , Pg.148 , Pg.149 ]




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