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Comparison of actual and predicted

Fig. 12. Comparison of actual and predicted charging rates for 0.3-pm particles in a corona field of 2.65 kV/cm (141). The finite approximation theory (173) which gives the closest approach to experimental data takes into account both field charging and diffusion charging mechanisms. The curve labeled White (141) predicts charging rate based only on field charging and that marked Arendt and Kallmann (174) shows charging rate based only on diffusion. Fig. 12. Comparison of actual and predicted charging rates for 0.3-pm particles in a corona field of 2.65 kV/cm (141). The finite approximation theory (173) which gives the closest approach to experimental data takes into account both field charging and diffusion charging mechanisms. The curve labeled White (141) predicts charging rate based only on field charging and that marked Arendt and Kallmann (174) shows charging rate based only on diffusion.
COMPARISON OF ACTUAL AND PREDICTED SHRINKAGES FOR XYDAR MOLDED PARTS... [Pg.389]

Based on these assumptions experimental rate data can be fitted by calculating only one rate constant. The remaining five are fixed using the relative rate constants listed above. An example of a comparison of actual and predicted data for the aryl interchange between molecules of (para-tolyl)diphenylphosphine is shown in Figure 4. [Pg.235]

Figure 20.7 Comparison of actual and predicted responses for plant-model mismatch. Figure 20.7 Comparison of actual and predicted responses for plant-model mismatch.
Table 6.2. Comparison of actual and predicted fabric strip strength [Source Reference 31]... [Pg.128]

Two issues present themselves when the question of PB-PK model validation is raised. The first issue is the accuracy with which the model predicts actual drug concentrations. The actual concentration-time data have most likely been used to estimate certain total parameters. Quantitative assessment, via goodness-of-fit tests, should be done to assess the accuracy of the model predictions. Too often, model acceptance is based on subjective evaluation of graphical comparisons of observed and predicted concentration values. [Pg.97]

Fig. 14.11 Comparison between actual and predicted values of viscosity of four component slags (the unit of viscosity is centpoise). Fig. 14.11 Comparison between actual and predicted values of viscosity of four component slags (the unit of viscosity is centpoise).
Figure 20.6 Comparison of actual (y), predicted (y), and corrected (y) responses when the model is perfect. Figure 20.6 Comparison of actual (y), predicted (y), and corrected (y) responses when the model is perfect.
In Table 7, a comparison of actual measurements, and also two well-known pedo-transfer functions, can be found by depth. It is important to note that there is a large difference in water content between the disturbed soil core samples and the undisturbed samples. Additionally, the two pedo-transfer functions also exhibit a large difference in predicted water content. Therefore, when doing calculations or trying... [Pg.887]

The trust radius h is obtained by a feedback mechanism. In the first iteration some arbitrary but reasonable value of h is assumed. In the next iteration, h is modified based on a comparison between the predicted reduction in fix) and the actual reduction. If the ratio between actual and predicted reductions... [Pg.313]

Performance scorecard Predicts how the overall design will perform against its expectations and functional requirements. Once implemented, this is a summary comparison of actual-to-planned performance of the innovation. [Pg.229]

Table II giveB a comparison of actual XYDAR molded part shrinkages vs shrinkages predicted upon cooling from melt and mold temperatures for 45% glass fiber (G-445) and 50% mineral/glass fiber (MG-350) compositions. These predicted values were estimated using equations (5) S (6) in the theory Bection. Table II giveB a comparison of actual XYDAR molded part shrinkages vs shrinkages predicted upon cooling from melt and mold temperatures for 45% glass fiber (G-445) and 50% mineral/glass fiber (MG-350) compositions. These predicted values were estimated using equations (5) S (6) in the theory Bection.
This rodent inhalation model has proven to be reliable in studying the pharmacological effects of a variety of opioids, stimulants, and other drugs of abuse. In addition to predicting the inhalation potential of drugs of abuse by the comparison of inhalation and IV routes of administration, actual tissue concentrations of drug can be approximated with the use of radiolabeled compounds. [Pg.217]

Comparison of the actual and predicted activity of compounds in the data set is used to guide refinement of the pharmacophore and active site models. A... [Pg.345]

Details on the modeling approaches used by the different participants in the Benchmark are described in companion papers to this Symposium. The performance of the test and a comparison of calculated and most significant measured variables are described in the next three sections. The Benchmark was conceived as a blind prediction exercise. The graphs presented include the prediction made by different teams. Some of the participants performed later additional analysis once the actual field data was officially released. [Pg.100]

The is called the coeflSdent of determination, and its value provides an indication of how g/ood the fit is. = 1 indicates perfect fit, and R values that are near zero indicate extremely poor fits. The comparison between the actual and predicted jr values (usk equation = — 3x+ 2) is shown in Table 14.11. [Pg.410]

FIGURE 8 Comparison between the actual and predicted contact angle of electrospun nano fiber for RSM and ANN model. [Pg.209]

Comparison of the Jenike predicted outlet dimensions and the actual experimentally measured values. [Pg.171]

Figure 7.15 Comparison of actual creep (specimens 1 2) with the prediction by time-temperature superposition for UHMWPE under a tensile load at 37°C and 1 MPa. From [155],... Figure 7.15 Comparison of actual creep (specimens 1 2) with the prediction by time-temperature superposition for UHMWPE under a tensile load at 37°C and 1 MPa. From [155],...
Upon comparison of Eqs. 29 and 36, it is readily apparent that both theories predict the same power law dependence of the contact radius on particle radius and elastic moduli. However, the actual value of the contact radius predicted by the JKR theory is that predicted by the DMT model. This implies that, for a given contact radius, the work of adhesion would have to be six times as great in the DMT theory than in the JKR model. It should be apparent that it is both necessary and important to establish which theory correctly describes a system. [Pg.152]

In Spite of the existence of numerous experimental and theoretical investigations, a number of principal problems related to micro-fluid hydrodynamics are not well-studied. There are contradictory data on the drag in micro-channels, transition from laminar to turbulent flow, etc. That leads to difficulties in understanding the essence of this phenomenon and is a basis for questionable discoveries of special microeffects (Duncan and Peterson 1994 Ho and Tai 1998 Plam 2000 Herwig 2000 Herwig and Hausner 2003 Gad-el-Hak 2003). The latter were revealed by comparison of experimental data with predictions of a conventional theory based on the Navier-Stokes equations. The discrepancy between these data was interpreted as a display of new effects of flow in micro-channels. It should be noted that actual conditions of several experiments were often not identical to conditions that were used in the theoretical models. For this reason, the analysis of sources of disparity between the theory and experiment is of significance. [Pg.104]


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