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Reliability parameter transferability

Determining reliability parameters for a tree-structured commodity transfer system with non-independent components... [Pg.1482]

The high heat accumulating capability of water in the reactor pool ensures slow changing of coolant parameters during transient and emergency conditions and reliable heat transfer from the fuel elements, even if controlled heat transfer from the reactor is not available. Fuel temperatures are moderate. [Pg.389]

The used approach shows that the structured combined application of nonparametric as well as parametric statistical methods is successful. The transfer of the approach to similar technical problems is feasible. Next steps of research work will be the analysis of chemical treatment and their impact on fibre reliability parameters. [Pg.1855]

At the present state these correlations together with Eq. 23 for the prediction of the apparent heat conductivity amd Eq. 6, 7 for the particle-to-fluid heat transfer may be recommended for application in tubular reactor design. These correlations give fairly reliable parameters for either homogeneous or heterogeneous one or two dimensional models for the mathematical simulation of packed bed reactors. [Pg.157]

T-acceptor behavior (e x(py) 500 cnr ). This property is supported by the appearance of internal pyridine vibrations as promoting and accepting modes in the region of spin-forbidden transitions [72]. In summary, our results show the validity of the AOM approach, which accounts for a reliable description of the d-energy level scheme by using parameters transferred from related complexes. The poor results obtained by the Xa-calculation, on the other hand, demonstrate the obstacles that are met with when describing spectroscopic transitions within open-shell multiplets by means of SCF methods. [Pg.133]

While simulations reach into larger time spans, the inaccuracies of force fields become more apparent on the one hand properties based on free energies, which were never used for parametrization, are computed more accurately and discrepancies show up on the other hand longer simulations, particularly of proteins, show more subtle discrepancies that only appear after nanoseconds. Thus force fields are under constant revision as far as their parameters are concerned, and this process will continue. Unfortunately the form of the potentials is hardly considered and the refinement leads to an increasing number of distinct atom types with a proliferating number of parameters and a severe detoriation of transferability. The increased use of quantum mechanics to derive potentials will not really improve this situation ab initio quantum mechanics is not reliable enough on the level of kT, and on-the-fly use of quantum methods to derive forces, as in the Car-Parrinello method, is not likely to be applicable to very large systems in the foreseeable future. [Pg.8]

This situation, despite the fact that reliability is increasing, is very undesirable. A considerable effort will be needed to revise the shape of the potential functions such that transferability is greatly enhanced and the number of atom types can be reduced. After all, there is only one type of carbon it has mass 12 and charge 6 and that is all that matters. What is obviously most needed is to incorporate essential many-body interactions in a proper way. In all present non-polarisable force fields many-body interactions are incorporated in an average way into pair-additive terms. In general, errors in one term are compensated by parameter adjustments in other terms, and the resulting force field is only valid for a limited range of environments. [Pg.8]

Transferring torsional and nonbonded terms between force helds is much less reliable. These are lower-energy terms that are much more interdependent. It is quite common to hnd force helds with signihcantly different parameters for these contributions, even when the exact same equations are used. [Pg.239]

Inclusion of thermography into a predictive maintenance program will enable you to monitor the thermal efficiency of critical process systems that rely on heat transfer or retention electrical equipment and other parameters that will improve both the reliability and efficiency of plant systems. Infrared techniques can be used to detect problems in a variety of plant systems and equipment, including electrical switchgear, gearboxes, electrical substations, transmissions, circuit breaker panels, motors, building envelopes, bearings, steam lines, and process systems that rely on heat retention or transfer. [Pg.800]

The last three columns contain the parameters which give the most reliable information on the nucleophilic character of the solvent for a wide range of solvents, namely Koppel and Paju s -values (1974), Schleyer s iVBS-values (Schadt et al., 1976), and Taft s / -values (Kamlet et al., 1983). The columns showing the type of product demonstrate roughly that increasing nucleophilicity favors the formation of products of homolytic intermediates. The fact that there is no exact correlation with nucleophilicity is likely to be due to the (one-) electron transfer capabilities of these solvents, which do not parallel the nucleophilicity (see Sec. 8.6). [Pg.200]

It is apparent, from the above short survey, that kinetic studies have been restricted to the decomposition of a relatively few coordination compounds and some are largely qualitative or semi-quantitative in character. Estimations of thermal stabilities, or sometimes the relative stabilities within sequences of related salts, are often made for consideration within a wider context of the structures and/or properties of coordination compounds. However, it cannot be expected that the uncritical acceptance of such parameters as the decomposition temperature, the activation energy, and/or the reaction enthalpy will necessarily give information of fundamental significance. There is always uncertainty in the reliability of kinetic information obtained from non-isothermal measurements. Concepts derived from studies of homogeneous reactions of coordination compounds have often been transferred, sometimes without examination of possible implications, to the interpretation of heterogeneous behaviour. Important characteristic features of heterogeneous rate processes, such as the influence of defects and other types of imperfection, have not been accorded sufficient attention. [Pg.239]

Even though molecular mechanics has given satisfactory results (i.e., results that agree with experimental measurements) for many molecules, it is still not totally reliable, since it does fail in certain cases. A further limitation is that it can be used only in cases for which transferable parameters can be obtained from simple molecules. Molecular orbital calculations do not have this limitation, but to some extent semiempirical MO methods do. [Pg.180]

Because of the close similarity in shape of the profiles shown in Fig. 16-27 (as well as likely variations in parameters e.g., concentration-dependent surface diffusion coefficient), a controlling mechanism cannot be reliably determined from transition shape. If reliable correlations are not available and rate parameters cannot be measured in independent experiments, then particle diameters, velocities, and other factors should be varied and the observed impact considered in relation to the definitions of the numbers of transfer units. [Pg.36]

Finally, to conclude our discussion on coupling with chemistry, we should note that in principle fairly complex reaction schemes can be used to define the reaction source terms. However, as in single-phase flows, adding many fast chemical reactions can lead to slow convergence in CFD simulations, and the user is advised to attempt to eliminate instantaneous reaction steps whenever possible. The question of determining the rate constants (and their dependence on temperature) is also an important consideration. Ideally, this should be done under laboratory conditions for which the mass/heat-transfer rates are all faster than those likely to occur in the production-scale reactor. Note that it is not necessary to completely eliminate mass/heat-transfer limitations to determine usable rate parameters. Indeed, as long as the rate parameters found in the lab are reliable under well-mixed (vs. perfect-mixed) conditions, the actual mass/ heat-transfer rates in the reactor will be lower, leading to accurate predictions of chemical species under mass/heat-transfer-limited conditions. [Pg.300]

Rieckmann and Volker fitted their kinetic and mass transport data with simultaneous evaluation of experiments under different reaction conditions according to the multivariate regression technique [116], The multivariate regression enforces the identity of kinetics and diffusivities for all experiments included in the evaluation. With this constraint, model selection is facilitated and the evaluation results in one set of parameters which are valid for all of the conditions investigated. Therefore, kinetic and mass transfer data determined by multivariate regression should provide a more reliable data basis for design and scale-up. [Pg.81]

For the solubility of TPA in prepolymer, no data are available and the polymer-solvent interaction parameter X of the Flory-Huggins relationship is not accurately known. No experimental data are available for the vapour pressures of dimer or trimer. The published values for the diffusion coefficient of EG in solid and molten PET vary by orders of magnitude. For the diffusion of water, acetaldehyde and DEG in polymer, no reliable data are available. It is not even agreed upon if the mutual diffusion coefficients depend on the polymer molecular weight or on the melt viscosity, and if they are linear or exponential functions of temperature. Molecular modelling, accompanied by the rapid growth of computer performance, will hopefully help to solve this problem in the near future. The mass-transfer mechanisms for by-products in solid PET are not established, and the dependency of the solid-state polycondensation rate on crystallinity is still a matter of assumptions. [Pg.103]

Reproducibility is the third and final portion of precision testing. Here, samples are prepared and compared between testing sites. This usually occurs at the time of technology transfer. Samples are prepared in a similar manner between the two sites and are compared to a previously agreed-upon set of acceptance criteria. As per the ICH, reproducibility studies are not a part of submission filings, but should be performed as a confirmation of the ability of each testing site to perform the method reliably. An executed reproducibility study can be used in place of intermediate precision for the validation of a method, although there is no problem if both validation parameters are evaluated. [Pg.206]

The ICH guidelines define robustness as The robusmess of an analytical procedure is a measure of its capacity to remain unaffected by small, but deliberate variations in method parameters and provides an indication of its reliability during normal usage.Thus, the robustness of a method is a measure of its capacity to be transferred to another laboratory without affecting the analytical result. A robustness test is the experimental setup applied to evaluate the robustness of the method. The ICH guidelines also state that One consequence... [Pg.186]


See other pages where Reliability parameter transferability is mentioned: [Pg.39]    [Pg.830]    [Pg.39]    [Pg.475]    [Pg.147]    [Pg.205]    [Pg.451]    [Pg.32]    [Pg.7]    [Pg.97]    [Pg.338]    [Pg.24]    [Pg.383]    [Pg.377]    [Pg.143]    [Pg.520]    [Pg.32]    [Pg.209]    [Pg.99]    [Pg.757]    [Pg.125]    [Pg.544]    [Pg.136]    [Pg.142]    [Pg.142]    [Pg.83]    [Pg.14]    [Pg.45]    [Pg.520]    [Pg.43]    [Pg.314]   
See also in sourсe #XX -- [ Pg.344 ]




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Parameters, transferability

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