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Comparing the Models

So how do the predictions of these models compare In Fig. 5.2.2, the predictions are plotted for a standard case a Stairmand High Efficiency cyclone with a diameter of 0.2 m, separating solids of density 2730 kg/m at an inlet velocity of 15 m/s. [Pg.96]

The models agree well in terms of critical particle diameter or cut size. The grade-efficiency curve of Mothes-Loffier is obviously much flatter than that of Barth. We refer to our discussion above, where we state that Barth s index of 6.4 in Eq. (5.2.2) is in the high end of the range, and best suited for smooth, well-designed cyclones. In our experience the index for many older units of poorer design often lies between 2 and 4, which gives a slope much more in line with the model of Mothes and Lofiier. [Pg.96]

The performance predictions in Fig. 5.2.2 are for a standard cyclone geometry with a typical inlet velocity used in laboratory testing. In Appendix 5. A we shall be looking at a case involving a much larger inlet velocity, namely the one for which we predicted the pressure drop in Chap. 4. [Pg.96]

This completes our treatment of some of the models proposed in the literature for cyclone separation performance. Although we have not been able to derive the models in detail, we trust that we have discussed the principles on [Pg.96]


Which compound m each of the following pairs would you expect to have the more polar carbon-metal bond" Compare the models on Learning By Modeling with respect to the charge on the carbon bonded to the metal... [Pg.618]

Another method is a series of exhaust dilution equations based on Wilson and Lamb " and a series of earlier papers summarized in ASHRAE. This method is based on wind tunnel tests on simplified buildings and is intended to provide conservative (low dilution) results. Wilson and Lamb compared the model to actual field data collected at a university campus and found that the model did indeed predict dilutions similar to measured worst-case dilutions suitable for a screening model. However, many cases resulted in conservative Linderpredictions of dilutions. ... [Pg.579]

A theoretical model for the prediction of the critical heat flux of refrigerants flowing in heated, round micro-channels has been developed by Revellin and Thome (2008). The model is based on the two-phase conservation equations and includes the effect of the height of the interfacial waves of the annular film. Validation has been carried out by comparing the model with experimental results presented by Wojtan et al. (2006), Qu and Mudawar (2004), Bowers and Mudawar (1994), Lazareck and Black (1982). More than 96% of the data for water and R-113, R-134a, R-245fa were predicted within 20%. [Pg.309]

The computer model allows use to predict what is going in the real organ of Corti (Figure 9.6). However, most experimental data currently relates only to the motion of the basilar membrane. By comparing the model response under different experimental conditions (Figure 9.7), we can get valuable insight into how the cochlear amplifier operates. The... [Pg.163]

Modelling Approach Establish a model and design experiments to determine the model parameters. Compare the model behaviour with the experimental measurements. Use the model for rational design, control and optimisation. [Pg.4]

With respect to reaction rates, an element of fluid will behave in the ideal tubular reactor, in the same way, as it does in a well-mixed batch reactor. The similarity between the ideal tubular and batch reactors can be understood by comparing the model equations. [Pg.239]

The process of field validation and testing of models was presented at the Pellston conference as a systematic analysis of errors (6. In any model calibration, verification or validation effort, the model user is continually faced with the need to analyze and explain differences (i.e., errors, in this discussion) between observed data and model predictions. This requires assessments of the accuracy and validity of observed model input data, parameter values, system representation, and observed output data. Figure 2 schematically compares the model and the natural system with regard to inputs, outputs, and sources of error. Clearly there are possible errors associated with each of the categories noted above, i.e., input, parameters, system representation, output. Differences in each of these categories can have dramatic impacts on the conclusions of the model validation process. [Pg.157]

Fukanuma and Ohmori15101 also presented an analytical model for the flattening ratio of a molten metal droplet on a surface as a function of time and compared the model prediction to experimental data for molten tin and zinc droplets. An expression for the flattening ratio was derived based on some simplified assumptions and approximations ... [Pg.300]

Lennernas s group at Uppsala has performed extensive studies to confirm the validity of this in vivo experimental set-up at assessing the rate and the extent of drug absorption. Recovery of PEG 4000 (a non-absorbable marker) is more than 95%, which indicates that the absorption barrier is intact. In addition, maintenance of functional viability of the mucosa during perfusion has been demonstrated by the rapid transmucosal transport of D-glucose and L-leucine. Estimation of absorption half-lives from the measured Pefr agree well with half-lives derived from oral dose studies in humans (i.e. physiologically realistic half-lives). Human Peff estimates are well correlated with the fraction absorbed in humans, and served as the basis for BCS development, and hence the technique is ultimately the benchmark by which other in situ intestinal perfusion techniques are compared. The model has been extensively used to... [Pg.60]

The best model in terms of fitting the frequency response results (obtained in MATLAB by fast-Fourier-transforming the input and output signals) is the third-order with a dead time equal to four sampling periods. Fig. 14.9h compares the model frequency response with the data. [Pg.528]

Interroute Extrapolation. The Corley model used three routes of administration, intraperitoneal, oral and inhalation, in rats and mice to describe the disposition of chloroform. This data was validated for humans by comparing the model output using the animal data with actual human data from human oral chloroform pharmacokinetic studies. Using the human pharmacokinetic constants from the in vitro studies conducted by Corley, the model made adequate predictions of the amount of chloroform metabolized and exhaled in both males and females. [Pg.132]

The quality of the mathematical model can only be judged by its ability to predict the likely experimental results over a wide range of conditions. The goodness of the agreement between the predictions of our proposed model and experimental observations is very much dependent on the key parameters in the model being clearly defined and well understood as mentioned previously. One of the difficulties we have encountered in attempting to compare the model behaviour and experimental GPC traces has been in obtaining reliable estimates of Pe and D. ... [Pg.34]

Although compartmental models and physiologically-based models may at first, seem quite different, and are usually treated as two different classes of models, both approaches are actually similar [17]. When appropriately defined, probably any PB-PK model can be written as a compartmental model and vice versa. This can be seen by comparing the models in Figures 13.1 and 13.3, and their mathematical descriptions in Eq. 13.1 and 13.5. [Pg.341]

The promolecule density shows (3, — 1) critical points along the bond paths, just like the molecule density. But, as the promolecule is hypothetical and violates the exclusion principle, it would be incorrect to infer that the atoms in the promolecule are chemically bonded. In a series of topological analyses, Stewart (1991) has compared the model densities and promolecule densities of urea,... [Pg.140]

The most straightforward way of comparing the models would be to solve the partial differential equations for each case and compare the solutions. Because we cannot find these solutions in general, we must be satisfied with a comparison of the moments of the concentration distributions given by these models. This method is much used in theoretical statistics, and is useful since most distributions encountered are uniquely determined by their moments. [Pg.136]

Find other sets of industrial data and compare the model results with the industrial ones. [Pg.502]

In this chapter, we will review the fundamental models that we developed to predict cathode carbon-support corrosion induced by local H2 starvation and start-stop in a PEM fuel cell, and show how we used them to understand experiments and provide guidelines for developing strategies to mitigate carbon corrosion. We will discuss the kinetic model,12 coupled kinetic and transport model,14 and pseudo-capacitance model15 sequentially in the three sections that follow. Given the measured electrode kinetics for the electrochemical reactions appearing in Fig. 1, we will describe a model, compare the model results with available experimental data, and then present... [Pg.48]

Compare the modeled structure with that of X-ray crystallographic structure (299D.pdb). [Pg.313]

Second, there are biometrical requirements. Various exposure response models may be used and compared. The models need to be clearly defined, and goodness of fit should be reported, both for the separate exposures as well as for the mixtures. Concentration addition, response addition, and mixed-model results may be compared as possible alternatives, especially when underpinning of mechanistic assumptions is weak. Results at one exposure level (e.g., EC50) do not necessarily predict results at other exposure levels due to different slopes and positions of the curves for separate compounds and the mixtures. Statistical tests should be executed properly to compare predicted and observed responses. If any statements about the significance of results are made, the methods of dose-response analysis need to be reported. [Pg.143]

Figure 2.15. Spectra of the damping y(u>) and of the absorption c"(w) (with arbitrary absorption units) derived from our model (2.127)—(2.130), at temperatures ranging between 3 and 70 K. At low temperatures we may distinguish in the spectrum pure acoustical effects below the threshold, and combined effects (acoustical + optical) above the threshold. At high temperatures, both branches contribute to yield the broad and asymmetrical lineshape. The energy origin has been chosen at the unperturbed exciton band botton. So the absorption spectra show a red shift even at low temperatures, which should be considered when comparing the model with the experimental spectra of Figs. 2.12-13. Figure 2.15. Spectra of the damping y(u>) and of the absorption c"(w) (with arbitrary absorption units) derived from our model (2.127)—(2.130), at temperatures ranging between 3 and 70 K. At low temperatures we may distinguish in the spectrum pure acoustical effects below the threshold, and combined effects (acoustical + optical) above the threshold. At high temperatures, both branches contribute to yield the broad and asymmetrical lineshape. The energy origin has been chosen at the unperturbed exciton band botton. So the absorption spectra show a red shift even at low temperatures, which should be considered when comparing the model with the experimental spectra of Figs. 2.12-13.
Figure 11.14a compares the model based on Avrami-Erofeev kinetics with the... [Pg.416]

The presence of H- in metallic lanthanide hydrides was proposed by Dialer (9), and the idea later extended to other metallic hydrides (11, 23). As at present interpreted the model suggests that H is associated with a helium-like configuration of electrons, in a rather low-density electron sea. The metal is considered to be the inert-gas core (or a stable non-inert-gas core) with a localized net positive charge derived from the stoichiometry of the hydride. The remaining electrons of the metal are considered to be in the usual directed hybrid orbitals, whose directions help determine the crystal structure and whose bonding to nearest metal neighbors stabilizes the structure. Electrons in these directed orbitals are sufficiently delocalized to provide a conduction band and metallic or semimetallic properties. [Compare the model of TiO and VO proposed by Morin (29).]... [Pg.110]


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