Big Chemical Encyclopedia

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

Articles Figures Tables About

Theoretical performance predictions

There are many other assumptions made in the following analysis (these are stated where they are introduced) but despite their often obvious oversimplicity the final results give a reasonable estimate of equipment performance. The analysis is made for a simple tubular centrifuge but the same approach, with slight modifications, may be used for other types of sedimenting centrifuges. An attempt is first made to derive the whole grade efficiency [Pg.247]

Tubular centrifuge Multichamber centrifuge Imperforate basket centrifuge Scroll-type centrifuge Disc centrifuge [Pg.248]

1 Grade efficiency function for a simpie tubular centrifuge [Pg.249]

The velocity of a particle (relative to the centrifugal bowl) at a point at a vertical distance z and radius r may be resolved into two components one perpendicular to and the other parallel to the axis of rotation of the bowl (radial and axial velocity components). [Pg.249]

If the input concentration of the solids is sufficiently low for any interaction between particles to be neglected, the magnitude of the radial velocity can be [Pg.249]


The prediction of rocket propellant specific impulse, as well as impulse under other conditions, may be reliably accomplished by calculation using as input the chemical composition, the heat of formation, and the density of the component propellant chemicals. Not only impulse but also the composition of exhaust species (and of species in the combustion chamber and the throat) may be calculated if the thermodynamic properties of the chemical species involved are known or can be estimated. The present standard computer code for such calculations is that described by Gordon and McBride.44 Theoretical performance predictions using such programs are widely used to guide propellant formulation efforts and to predict rocket propellant performance however, verification of actual performance is necessary. [Pg.1770]

The second reason for modification of the displaced volume is that in real world application, the cylinder will not achieve the volumetric performance predicted by Equation 3.4. It is modified, therefore, to include empirical data. The equation used here is the one recommended by the Compressed Air and Gas Institute [1], but it is somewhat arbitrary as there is no universal equation. Practically speaking, however, there is enough flexibility in guidelines for the equation to produce reasonable results. The 1.00 in the theoretical equation is replaced with. 97 to reflect that even with zero clearance the cylinder will not fill perfectly. Term L is added at the end to allow for gas slippage past the piston rings in the various types of construction. If, in the course of making an estimate, a specific value is desired, use, 03 for lubricated compressors and. 07 for nonlubricated machines. These are approximations, and the exact value may vary by as much as an additional. 02 to. 03... [Pg.57]

Extensive computational calculations have been performed by using molecular mechanics (MM) [79], quantum mechanics (QM) [80], or combined MM/QM methods [81]. As major contributions, these theoretical studies predict the greater stability of the major isomer, explain the higher reactivity of the minor diastereomer, introduce the formation of a dihydrogen adduct as intermediate in the oxidative addition of H2 to the catalyst-substrate complexes, and propose the migratory insertion, instead of the oxidative addition, as a turnover-limiting step. [Pg.27]

As shown in this review, test equipment integrated with several diagnostic techniques is preferred for a deeper insight into the mechanisms that cause performance losses and spatial non-uniform distribution. As a consequence, more information, which is simultaneously obtained with these diagnostic tools, will strongly support development of empirical models or validate theoretical models predicting performance as a function of operating conditions and fuel cell characteristic properties. [Pg.167]

The results of several rocket engine investigations are summarized as the variation of characteristic velocity with mixture ratio and are compared with the predicted values based on equilibrium combustion in figure m-A-1. Greater than theoretical performance is obtained at fuel rich mixture ratios while considerably less than theoretical performance is reported at oxidizer rich mixture ratios. The results cannot be dismissed as the consequences of poor injection technique, poor mixing, or insufficient reaction time (L ), especially with the observation of greater than theoretical performance. At near stoichiometric mixture ratios and at chamber pressures of about 300 psia, performance in terms of characteristic velocity is near the theoretically predicted value. [Pg.81]

V. E. The failure to include a significant product specie in calculations of propellant performance has a pronounced effect and results in an erroneous prediction of the theoretical performance. [Pg.140]

In this section, you have learned how the amount of products formed by experiment relates to the theoretical yield predicted by stoichiometry. You have learned about many factors that affect actual yield, including the nature of the reaction, experimental design and execution, and the purity of the reactants. Usually, when you are performing an experiment in a laboratory, you want to maximize your percentage yield. To do this, you need to be careful not to contaminate your reactants or lose any products. Either might affect your actual yield. [Pg.270]

NoteThe long plug flow furnace Model is so efficient that it would be grossly underfired using the computed WSCC effective firing density. Of the two models, the LPFF model always predicts an upper theoretical performance limit. [Pg.43]

The relative strength of hollow-sphere foams lies between the theoretical performance of open- and closed-cell foams. The performance of optimized truss structures is similar to that of closed-cell foams and, for the Kagome truss, approaches the behavior of a Hashin-Shtrikman porous material. Honeycombs are the most efficient structures when loaded purely out-of-plane. However, plastic buckling can decrease its performance at low relative densities. Further, since honeycomb is highly anisotropic, any inplane loading results in severely reduced performance. Although the theoretical performance of closed-cell foams far exceeds that of open-cell foams, processing defects result in commercially available material that behaves similar to an open-cell material at low relative densities. Commercially available samples of other types of low-density metallic structures behave nearly as predicted. [17]... [Pg.423]

Langa et al. [48, 94, 95], while performing cycloaddition of N-methylazomethine ylide with C70 fullerene, proposed a rather similar approach. Theoretical calculations predict an asynchronous mechanism, suggesting that this phenomenon can be explained by considering that, under kinetic control, microwave irradiation will favor the more polar path corresponding to the hardest transition state . [Pg.156]

Most chemical reactors operate at a steady state. Theoretical studies predict that the time-averaged conversion or yield following a periodic variation of the feed concentration and/or temperature usually differs from that of a steady state for the same time-averaged feed conditions. Many experimental studies verified these theoretical predictions that a forced periodic operation can affect the time-averaged performance of a reactor. One of the few reported industrial applications is the cycling of a chain-transfer agent in order to affect the polydispersity of polypropylene [8]. [Pg.75]

Generally speaking, the best known field strength prediction models currently available arose as a combination of some of the previously described analytical models with data obtained in field measurements. The resulting empirical models include several adjustment parameters, most of them lacking theoretical explanations, and their appHcabihty is restricted to situations in which the experiments were performed. Predictions for situations other than the original ones must be exercised with care and are, usually, not recommended, unless further adjustments can be performed with field measurements. [Pg.1761]

In a gas-filled material like the lung parenchyma, the transverse relaxation time (T2) for He is shortened by the deposition of magnetic microspheres and rapid molecular diffusion through induced field distortions. This unique relaxation process is described theoretically and predicted T2-shortening is validated using pressurized He gas in a foam model of alveolar airways. " Based on the experimental findings the feasibility of imaging inhaled particulates in vivo with hyperpolarized He is examined and performance projections are formulated. [Pg.489]

Figure 9. A comparison of theoretical PRJSM predictions (curves) for the radial distribution functions with Monte Carlo simulations (points). The simulations were performed on vinyl chain melts of TV = 33 monomers at a packing fraction of 0.35. Note the shielding effects at short distances, (a) The diagonal components AA, BB, and CC of the correlation functions, (b) The off-diagonal components AB, AC, and BC of the correlation functions. Figure 9. A comparison of theoretical PRJSM predictions (curves) for the radial distribution functions with Monte Carlo simulations (points). The simulations were performed on vinyl chain melts of TV = 33 monomers at a packing fraction of 0.35. Note the shielding effects at short distances, (a) The diagonal components AA, BB, and CC of the correlation functions, (b) The off-diagonal components AB, AC, and BC of the correlation functions.
The activation energies are in reasonable agreement with the experimental data for Arrhenius equations. The preexponential factors, however, are not so good. A better agreement is obtained with the modified Arrhenius equation. Now, the preexponential factors and temperature dependence are reasonable, and activation energies are not far from experimental value (MADs are under 1 kcal/mol). From a kinetic point of view, however, the description is semiquantitative at best. If one plots the rate constants obtained theoretically and experimentally for these reactions, the picture shown in Fig. 3 is obtained. There is a quite a difference between experimental and theoretical data at each temperature, which could be adjusted by a simple multiplicative factor for each reaction. The calculations predict that the ratio of formation of the 1-propyl radical to the 2-propyl radical would be about 5 times faster theoretically than observed experimentally. Both theoretically and experimentally, one observes that increase in the temperature equalizes the rate of formation of both radicals, but experimentally this happens faster than what the theoretical calculations predict. This failure is not corrected even considering internal rotation to perform more precise thermochemical calculations. [Pg.71]


See other pages where Theoretical performance predictions is mentioned: [Pg.247]    [Pg.247]    [Pg.75]    [Pg.85]    [Pg.68]    [Pg.69]    [Pg.64]    [Pg.131]    [Pg.272]    [Pg.94]    [Pg.154]    [Pg.315]    [Pg.261]    [Pg.11]    [Pg.57]    [Pg.16]    [Pg.378]    [Pg.179]    [Pg.398]    [Pg.188]    [Pg.283]    [Pg.189]    [Pg.217]    [Pg.363]    [Pg.73]    [Pg.252]    [Pg.188]    [Pg.189]    [Pg.218]    [Pg.242]    [Pg.390]    [Pg.571]   


SEARCH



Performance predicting

Prediction performance

Predictive performance

Theoretical predictions

© 2024 chempedia.info