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Testing modeling

HETP values obtained in this way have been compared to measured values in data banks (69) and statistical analysis reveals that the agreement is better when equations 79 and 80 are used to predict and than with the other models tested. Even so, a design at 95% confidence level would require a safety factor of 1.7 to account for scatter. [Pg.39]

Acceptable comprehensive methods of analysis are analytical, model-test, and chart methods, which evaluate for the entire piping system under consideration the forces, moments, and stresses caused by bending and torsion from a simultaneous consideration of terminal and intermediate restraints to thermal expansion and include all external movements transmitted under thermal change to the piping by its terminal and intermediate attachments. Correction factors, as provided by the details of these rules, must be applied for the stress intensification of curved pipe and branch connections and may be applied for the increased flexibihty of such component parts. [Pg.1001]

Propeller size, pitch, and rotational speed may be selected by model tests, by experience with similar operations, or, in a few cases, by published correlations of performance data such as mixing time or heat transfer. The propeller diameter and motor power should be the minimum which meet process requirements. [Pg.1631]

Skater E. 1986. Industrial ventilation— Model tests and general development in Norway and Scandinavia. In Proceedings of Ventilation 8S Conference. Elsevier Science Publishers PA, Amsterdam. [Pg.516]

Conclusions concerning the causes of the fugitive emissions were developed from extensive model testing. The emissions escaped from the enclosure by direct plume trajectory and wind flow patterns. Lime dropped into the back of the grizzly creates a plume towards the front of the enclosure, whereas a drop near the front produces a plume to the rear. The plume is caused by the rapid displacement of air and dust from the hopper. [Pg.908]

The final recommended configuration for improving dust capture is shown in Fig. 10.46. The design change was rather simple and the model test showed a significant reduction in visible fugitive emissions. [Pg.908]

The modifications shown in Fig. 10.46 were installed in the field unit. Reports from field unit operators and observers indicated that the significant improvement shown by the model tests was also exhibited in the field. [Pg.909]

If the model test uses the same fluid medium as the prototype at similar ambient temperatures, Eq. (13.79) can be simplified ... [Pg.1279]

In this context, it is important to note that a model test simulating the operation of an air pollution control scheme can also be modeled in water. For some air pollution problems, an air model might become quite large in order to ensure modeling the turbulent nature of the prototype flow rate. For some applications, a water model can be used which will give a reasonable scale size. [Pg.1279]

Brkich, A., Vertical Pump Model Tests and Intake Design, presented Boston Section A.S.M.E., Feb. 1933. [Pg.222]

Brkich, A., Rid Vertical-Pump Intake Design of Guess With Model Tests, Power, No. 2, 1953, p. 90. [Pg.222]

Scale-model testing is used with very large pumps such as water feed pumps for thermal power stations. The problems posed by such tests in establishing the full-size machine performance are well discussed in a paper contributed by workers studying pumps for the Central Electricity Board . [Pg.516]

The effect of nucleating sources is important when attempting to scale studies with models tO full-size components. A common practice in model tests is to expose the fluid to a high static pressure prior to testing in order to drive free gas into solution. In contrast the seeding of water tunnels is considered to improve scaling particularly in high-speed propeller applications . [Pg.1341]

Osborne Reynolds identified the phenomenon of cavitation as early as 1873. By the ton of the century it had been called by its present name by R. E. Froude, the director of the British Admiralty Ship Model Testing Laboratories. [Pg.97]

In most cases models describing biogeochemical cycles are used to estimate the concentration (or total mass) in the various reservoirs based on information about source and sink processes, as in the examples given in Section 4.4. This is often called forward modeling. If direct measurements of the concentration are available, they can be compared to the model estimates. This process is referred to as model testing. If there are significant differences between observations and model simulations, improvements in the model are necessary. A natural step is then to reconsider the specification of the sources and/or the sinks and perform additional simulations. [Pg.74]

Chan et al. [38] prepared optically active atropoisomeric 2,2 -bipyridine by nickel(0)-catalyzed homo-couphng of 2-bromopyridylphenol derivatives (structure 28 in Scheme 16). Tested in the model test reaction, the copper catalyst led to frans-cyclopropanes as major products with up to 86% ee. [Pg.105]

Scott et al. [45] prepared diimine derivatives of 2,2 -diamino-6,6 -dimethyl-biphenyl (as structure 37 in Scheme 19) as copper chelates for the catalyzed cyclopropanation reaction. All catalysts were active in this reaction but enan-tioselectivities varied importantly according to the substitution pattern of the imine aryl group only ortho-substituted ligands (by chloride or methyl groups) led to products with measurable enantioselectivity for the model test reaction (up to 57% ee with 37). [Pg.108]

A five-compound model test mixture of polymer additives (Irganox 245, BHA, BHT, bisphenol A, Topanol CA) in CD3CN in amounts ranging from ca. 230 to 900 [tg on the column were tested with the hypernated configuration of Scheme 7.12f, using an ATR-FHR flow-cell and on-flow 500 MHz H NMR [673]. In a case of considerable technical overkill, the system was also used to identify a suspected polymer additive as being BHT. [Pg.525]

Future work needs to be directed toward applications to real samples rather than model test mixtures. The proof of the pudding is in the eating ... [Pg.525]

SEC-UV-MS-NMR-IR (LC Transform ) has been used for the analysis of a model test mixture of additives composed of BHT, Irganox 1076 and DIOP see Section 7.3.3.4 [667]. [Pg.530]

Kansy et al. [547,550] used 10% wt/vol egg lecithin in dodecane. Cholesterol was added as well. We also chose to use 10% egg lecithin ( 60% grade ) in our laboratory. Tables 7.10 and 7.11 list the results of the various 10% egg lecithin models tested at plON. Some of the models were used in conjunction with a sink... [Pg.184]

Table 7.23 shows the results for 47 specific PAMPA models tested at pION, according the the scheme in Fig. 7.58. The two columns on the right are the r2 values in the comparisons. The neutral-lipid models (1.0, 1A.0, 2.0, 3.0, and 4.0) at pH 7.4 do not explain the permeability trend indicated in the human jejunal permeabilities [56]. Octanol was least effective, with r2 0.01. This should not be too surprising, since we did note that the appearance of naproxen, ketoprofen, and piroxicam at the top of the HJP ordering was unexpected. Our expectations were based on the octanol-water lipophilicity scale, which clearly does not correlate with the HJP trend. Adding a sink condition to the 2% DOPC model (model 1.1) improves correlation (r1 increases from 0.33 to 0.53). The addition of cholesterol to the 2% DOPC/dodecane system made the model unstable to the surfactant-created sink condition. [Pg.239]

In the absence of any data, the maximum of the entropy functional is reached for p(r) = m(r). Any substantial departure from the model, observed in the final map, is really contained in the data as, with the new definition, it costs entropy. This paper presents illustrations of model testing in the case of intermetallic and molecular compounds. [Pg.49]

An important issue is the reliability of the model over the entire United States. EPIC was tested for accuracy in estimating ET and Q by many investigators on data gathered from the United States and other countries. Numerous tests of the model are described by Sharpley and Williams70 and by others. Model tests by others are summarized below in each of these evaluations, EPIC produced accurate estimates of ET and Q. [Pg.1076]

Perhaps the most extensive computational study of the kinetics of NO reactions on Rh and Pd surfaces has been provided by the group of Zgrablich. Their initial simulations of the NO + CO reaction on Rh(lll) corroborated the fact that the formation of N-NO intermediate is necessary for molecular nitrogen production [83], They also concluded that an Eley-Rideal mechanism is necessary to sustain a steady-state catalytic regime. Further simulations based on a lattice-gas model tested the role of the formation of... [Pg.87]

Scaling by use of dimensionless numbers only is limited in two-phase flow to simple and isolated problems, where the physical phenomenon is a unique function of a few parameters. If there is a reaction between two or more physical occurrences, dimensionless scaling numbers can mainly serve for selecting the hydrodynamic and thermodynamic conditions of the modelling tests. In... [Pg.383]

Experimental methods which yield precise and accurate data are essential in studying diffusion-based systems of pharmaceutical interest. Typically the investigator identifies a mechanism and associated mass transport model to be studied and then constructs an experiment which is consistent with the hypothesis being tested. When mass transport models are explicitly involved, experimental conditions must be physically consistent with the initial and boundary conditions specified for the model. Model testing also involves recognition of the assumptions and constraints and their effect on experimental conditions. Experimental conditions in turn affect the maintenance of sink conditions, constant surface area for mass transport, and constant and known hydrodynamic conditions. [Pg.103]

Although all these codes have been tested for theoretical integrity and realism to some extent, few appropriate data sets for model testing are available and standardized methods for collecting them are only now under development (56). At this time, a full evaluation of a chemical is perhaps best accomplished using several fate codes, with careful comparisons among the outputs of the codes. [Pg.37]

The application was a model test only and no attempt was made to acquire or validate site-specific source data. Specific and prototype point sources and area sources were included most risk came from the nonspecific, hypothetical sources. Risk was computed using unvalldated, hypothetical unit risk factors. Sample graphical results are presented in Figures 3, 4, and 5. [Pg.81]


See other pages where Testing modeling is mentioned: [Pg.401]    [Pg.1631]    [Pg.511]    [Pg.908]    [Pg.1277]    [Pg.76]    [Pg.1044]    [Pg.1049]    [Pg.486]    [Pg.503]    [Pg.516]    [Pg.205]    [Pg.494]    [Pg.87]    [Pg.75]    [Pg.64]    [Pg.102]    [Pg.530]    [Pg.163]   
See also in sourсe #XX -- [ Pg.17 , Pg.20 ]




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Accelerated testing and statistical lifetime modeling

Adaptive Low-Order Posi-Cast Control of a Combustor Test-Rig Model

Animal Test Models

Animal testing models

Bayesian testing and model criticism

Benchmark, test and model systems

Bioavailability testing animal models

Biological test models

Catalyst Test Reactors and Kinetic Modeling

Catalyst performance testing modeling

Creep Testing and Modeling

Curve Fitting and Regression Modeling vs Hypothesis Testing

Design model adequacy, test

Diagnostic tests of the fitted model. Residual plots

EXPERIMENTAL CHARACTERIZATION AND TESTING OF FLUX MODELS

Experimental Test of Bridge-assisted Electron Transfer Models

Experimental Testing of the Electron Transfer Models

Experimental models hypothesis testing

Experimental tests of the classical model

Experimental tests of the quark-parton model

Fatigue testing modeled

Forecasting Model Error Estimation and Hypothesis Testing

From Lab Reactor Tests to Real-World System Modeling

Hazard extrapolation test models

Human skin model test

In vivo Testing of Bioceramic Coatings Using Animal Models

Laboratory Tests Into the Model

Macroalgal Models in Testing and Extending Defense Theories

Mathematical Model of the Microreactor for Kinetic Tests

Mathematical modeling of test chamber kinetics

Minimal Modeling Using Hypothesis Testing

Mixture model hypothesis testing

Model Tests

Model adequacy test

Model independent tests

Model validation residual testing

Model validation/testing

Model validation/testing process

Models model tests

Models testing

Models testing

Mouse behavior models cognition tests

Neurotoxicity testing cell culture models

Nonideal Liquids - Test of Thermodynamic Model

Numerical models Drift Scale Test

Oscillatory tests with a Maxwell model

Parallel Slope Test Using a Single Regression Model

Parameter Estimation and Statistical Testing of Models

Parameter errors, model validation testing

Parton model experimental tests

Photon models test results

Protein adsorption model testing

Results of hypothesis testing (Model

Rodent models immunotoxicity testing

Scale model tests

Sensitivity tests, velocity models

TEST RELATION FOR SURFACE MODEL

Teratogenicity test models

Test Using an Indicator Variable Model

Test for Coincidence Using a Single Regression Model

Test of the model

Test particle model

Test-Driven Development , safety modeling

Testing Using Model Compounds

Testing and modeling the mechanical behavior of nanofibers for composite applications

Testing kinetic models

Testing mechanistic models

Testing of models

Testing protocols model system selection

Testing the Model Assumptions

Testing the Models

Testing the model by mixed tasks in patients with monohemispheric brain lesion

Tests of Hypotheses from More Than One Model

Tests of Model Adequacy

Tests of Theoretical Modulus Values—Model Networks

The FEBEX benchmark test. Case definition and comparison of different modelling approaches

The behaviour of model materials in creep tests

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