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Predicting Performances

The use of fatigue data and crack length measurements to predict the remaining service life of a stmcture under cyclic loading is possibly the most common application of fracture mechanics for performance prediction. In complex stmctures the growth of cracks is routinely monitored at intervals, and from data about crack growth rates and the applied loadings at that point in the stmcture, a decision is made about whether the stmcmre can continue to operate safely until the next scheduled inspection. [Pg.549]

The analytical mechanisms for predicting the corresponding pollutant formation associated with fossil-fuel-fired furnaces lag the thermal performance prediction capabiUty by a fair margin. The most firmly estabUshed mechanism at this time is the prediction of thermal NO formation (24). The chemical kinetics of pollutant formation is, in fact, a subject of research. [Pg.147]

K. A. Bueters, J. G. CogoH, and W. W. Habelt, "Performance Prediction of Tangentially Eired UtiUty Eumaces by Computer Model," paper presented at the Fifteenth Symposium on Combustion, Tokyo, Japan, Aug. 25—31,1974, The Combustion Institute, Pittsburgh, Pa., 1975. [Pg.148]

Subsequently, Calvert (R-19, p. 228) has combined mathematical modehng with performance tests on a variety of industrial scrubbers and has obtained a refinement of the power-input/cut-size relationship as shown in Fig. 14-130. He considers these relationships sufficiently reliable to use this data as a tool for selection of scrubber type and performance prediction. The power input for this figure is based solely on gas pressure drop across the device. [Pg.1439]

The predictions checked in the pilot-plant reactor were reasonable. Later, when the production unit was improved and operators learned how to control the large-scale reactor, performance prediction was also very good. The highest recognition came from production personnel, who believed more in the model than in their instruments. When production performance did not agree with model predictions, they started to check their instruments, rather than questioning the model. [Pg.130]

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]

Performance predictions and analyses covering reliability, maintainability, and safety Trade-off studies Computer aided engineering... [Pg.250]

The CSD from the continuous MSMPR may thus be predicted by a combination of crystallization kinetics and crystallizer residence time (see Figure 3.5). This fact has been widely used in reverse as a means to determine crystallization kinetics - by analysis of the CSD from a well-mixed vessel of known mean residence time. Whether used for performance prediction or kinetics determination, these three quantities, (CSD, kinetics and residence time), are linked by the population balance. [Pg.67]

For filter design and performance prediction it is necessary to predict the rate of filtration (velocity or volumetric flowrate) as a function of pressure drop, and the properties of the fluid and particulate bed. This can be achieved using the modified Darcy equation developed in Chapter 3. [Pg.90]

Tailoring of the particle size of the crystals from industrial crystallizers is of significant importance for both product quality and downstream processing performance. The scientific design and operation of industrial crystallizers depends on a combination of thermodynamics - which determines whether crystals will form, particle formation kinetics - which determines how fast particle size distributions develop, and residence time distribution, which determines the capacity of the equipment used. Each of these aspects has been presented in Chapters 2, 3, 5 and 6. This chapter will show how they can be combined for application to the design and performance prediction of both batch and continuous crystallization. [Pg.190]

Intensive methods are preferred for big size water reuse schemes, not only for their reduced footprint but also because high technology systems, when implemented by skilled staffs, are assumed to allow higher microbial performance predictability. Moreover, designers and engineers are confident in techniques that allow... [Pg.101]

Ameel, T.A., K.G. Gee, and B.D. Wood, 1995. Performance predictions of alternative low cost absorbents for open-cycle absorption solar cooling, Solar Energy, 54 (2), 65-73. [Pg.444]

Agarwal, R.G., Carter, R.D., and Pollock, C.B. "Evaluation and Performance Prediction of Low-Permeability Gas Wells Stimulated by Massive Hydraulic Fracturing," J. Pet. Technol. (March 1979) 362-372. [Pg.676]

As discussed in Section 17.2.3.1, reactor performance in general depends on (1) the kinetics of reaction, (2) the flow pattern as represented by the RTD, and (3) mixing characteristics within the vessel. The performance predicted by ideal reactor models (CSTR, PFR, and LFR) is determined entirely by (1) and (2), and they do not take (3)... [Pg.454]

The macrohomogeneous model was exploited in optimization studies of the catalyst layer composition. The theory of composifion-dependent performance reproduces experimental findings very well. - The value of the mass fraction of ionomer that gives the highest voltage efficiency for a CCL with uniform composition depends on the current density range. At intermediate current densities, 0.5 A cm < jo < 1.2 A cm , the best performance is obtained with 35 wt%. The effect of fhe Nation weight fraction on performance predicted by the model is consistent with the experimental trends observed by Passalacqua et al. ... [Pg.414]

There is opportunity in the future not only to perform CCD simulations to understand and develop parametrics of components, but also to elucidate inlet, combustor, nozzle interactions, and optimization. Further a validated system code is needed from the system performance prediction, comparison, optimization, and design points of view. The study should be extended to various fuel-oxidizer combinations. [Pg.496]

If the linear requirements on the kinetics of change are not satisfied, then the performance of equipment cannot be predicted from these separate pieces of information. In this case the actual flow pattern of fluid through the vessel must be known before performance predictions can be made. [Pg.104]

This is a fruitful approach, and much of what follows concerns the development and use of such flow models. The parameters of these models are correlatable with physical properties of the fluid, vessel geometry, and flow rate once such correlations are found for all types of fluid processing, performance predictions can be obtained without resort to experimentation. [Pg.105]

Aiba (A3), Fox and Gex (F8), Kramers, Baars and Knoll (K15), Metzner and Taylor (MIO), Norwood and Metzner (N3), Van de Vusse (V5) and Wood et al. (W12) have studied flow patterns and mixing times. In addition, Brothman et al. (B22), Gutoff (G9), Sinclair (S16) and Weber (W3) analyzed flow in a stirred tank in terms of the recycle flow model of Fig. 23F. This model corresponds to the draft-tube reactor, and with sufficiently large recycle rate the performance prediction of this model approximates backmix flow. [Pg.168]

Although much progress has been made in the last decade regarding operation, design and scale-up of spin-filters, in most works found in the literature either fouling or retention problems (or both) were observed. A better comprehension of the fluid and particle dynamics involved in spin-filter perfusion would improve this situation. In this context, a valuable tool that could be used is computational fluid dynamics (CFD), which has been recently employed for the design and performance prediction of other cell separation devices [46,114]. [Pg.153]

To perform prediction, an unknown mixture spectrum is measured (r). Given r and S, it is possible to solve Equation 5-6 for c (the predicted concentrations) using standard linear algebra ... [Pg.100]

The estimated pure spectra are accepted and the ICLS model is validated using the diagnostics in Table 5.1, Section 5.2.1.1. The validation data are obtained by performing prediction on the Hdation samples using the pure spectra estimated from the calibration samples. [Pg.302]

Root Mean Square EtTor of Prediction (RMSEP) Plot (Model Diagnostic) The number of variables to include is finalized using a validation procedure that accounts for predictive ability. There are two approaches for calculating the prediction error internal cross-validation (e.g., Icave-one-out cross-validation with the calibration data) or external validation (i.e.. perform prediction... [Pg.311]

Syllabus (1957-1958), 356-71 (Performance predictions) 3) C.L. Mader, "Detonation Performance Calculations using the Kistiakowsky-Wilson Equation of State ,... [Pg.470]


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See also in sourсe #XX -- [ Pg.147 , Pg.148 , Pg.149 ]




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