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Initial Selection

The cross-section of the mast can be found from the given inner and outer diameters  [Pg.33]

Cross-sectional area of a tube = 7t(R - r ), where R is the outer radius and r is the inner radius. [Pg.33]

The mast will be subjected to 153 kN compressive axial force. [Pg.33]

Applying a factor of safety of 1.5 to establish the reliability, the minimum yield strength required for the mast will be 67 x 1.5 100 MPa. [Pg.33]

Looking into Ashby s Materials Selection Charts [10] it is clear that engineering polymers, wood, and some of the lower-strength engineering alloys will be excluded as the candidate materials for the mast. Corrosion resistance can be considered as a soft requirement, and therefore, it will not be considered in the initial selection. [Pg.33]


IlyperChem assumes that it is easiest for yon to just use subset selection to select that portion oT the molecular system that is to be treated quantum mechanically. You can then extend the initial selection to form a convenient and universally acceptable boundary. Thus, you make a simple selection of atoms for the first pass at selecting the quantum mechanical portion. The selected atoms are quantum atomsand the iinselecied atoms are classical atoms. [Pg.246]

Initial. selection of diyers. Select those diyers which appear best suited to handhngthe wet material and the diy product, which fit into the continuity of the process as a whole, and which will produce a product of the desired physical properties. This preliminaiy selection can be made with the aid of Table 12-9, which classifies the various types of dryers on the basis of the materials handled. [Pg.1186]

In order to verify performance of a given toller with whom a company has worked before, it is essential to document and understand their performance history in the five areas listed above. Good documentation of prior toller performance will allow a new engineer or new manager in charge of tolling projects to base their initial selection of candidates on accurate data. [Pg.20]

Table 3 compares packings as an aid to initial selection. For simple applications use Pall Rings for studies as a tried and true packing. This will give conservative results when compared w ith more recent random packings. [Pg.85]

Fortunately the situation in practice is not quite as complex as it might seem. In general, very acceptable designs are achieved by using impact data obtained under conditions which relate as closely as possible to the service conditions. Impact strength values available in the literature may be used for the initial selection of a material on the basis of a desired level of toughness. Then, wherever possible this should be backed up by tests on the plastic article, or a specimen cut from it, to ensure that the material, as moulded, is in a satisfactory state to perform its function. [Pg.148]

While event trees are not so common in chemical plant PSA they are extensively used to analyze nuclear accidents, but before beginning the analysis, preliminaries that are needed are plant tamiliarity and initiator selection... [Pg.228]

Thus, tlie focus of tliis subsection is on qualitative/semiquantitative approaches tliat can yield useful information to decision-makers for a limited resource investment. There are several categories of uncertainties associated with site risk assessments. One is tlie initial selection of substances used to characterize exposures and risk on tlie basis of the sampling data and available toxicity information. Oilier sources of uncertainty are inlierent in tlie toxicity values for each substance used to characterize risk. Additional micertainties are inlierent in tlie exposure assessment for individual substances and individual exposures. These uncertainties are usually driven by uncertainty in tlie chemical monitoring data and tlie models used to estimate exposure concentrations in tlie absence of monitoring data, but can also be driven by population intake parameters. As described earlier, additional micertainties are incorporated in tlie risk assessment when exposures to several substances across multiple patliways are suimned. [Pg.407]

Diketones can be reduced usually in high selectivity to either an intermediate ketol or thediol (72). Selectivity to the ketol depends in large measure on both catalyst and solvent. In cyclohexane solvent, the maximal yield of ketol obtained on partial hydrogenation of biacetyl fell in the order 5% Pd-on-C (99%), 5% Rh-on-C (92%), 5% Pt-on-C (88%), 5% Ru-on-C (63%) from acetylacelone the descending order was 5% Pd-on-C (86%), 5% Rh-on-C (60%), 5% Ru-on-C(35%), 5% Pt-on-C (27%)(56) from 1,4-cyclohexanedione in isopropanol initial selectivity to the ketol fell in the sequence 5% Pd-on-SiO, (96%), 5% Ir-on-C (95%), 5% Ru-on-C (92%), 5% Pt-on-C (67%) (73). Generalizing from these data, it appears palladium is a good first choice to achieve maximal selectivity. [Pg.71]

Many compressors are designed and operated at a fixed condition in a process or refrigeration cycle. However, at least an equal number are designed and operated over a varying, or at the initial selection unknown, set of conditions of suction or discharge pressures. This situation is a reality and an economical necessity if the full horsepower of the compressor and driver combination is to be realized. [Pg.442]

The relative propensity of radicals to abstract hydrogen or add to double bonds is extremely important. In radical polymerization, this factor determines the significance of transfer to monomer, solvent, etc. and hence the molecular weight and end group functionality (Chapter 6). It also provides one basis for initiator selection (Section 3.2.1). [Pg.34]

These examples show how initiator selection can be critical in determining the properties of PS prepared by radical polymerization. If thermal stability were of importance, then, since some initiator-derived ends cannot be avoided, a preferred initiator would be one which gives rise to end groups that do not readily eliminate or dissociate. End groups formed with AIBN initiator appear stable with respect to the polymer backbone,19 Many other systems remain to be studied. [Pg.416]

Of particular relevance to the above discussion is the way in which learners initially handle incoming iuformation such as that presented in a lesson, a lecture demonstration or during laboratory instruction. The new irrformation is perceived and filtered in terms of what the learner already knows and canimderstand. As a result, iuformation is not transferred intact from the mind of the teacher to the mind of the learner. It undergoes an initial selection (filtration) process and what is admitted will vary from person to person. Students with a similar backgrottrrd will tend to select in a similar, but not identical, way (Johnstone, 2007). An information-processing model is presented in Fig. 5.1. [Pg.119]

Figure 4. Initial selectivity of the monomethylated isomers as function of Mg content. Figure 4. Initial selectivity of the monomethylated isomers as function of Mg content.
GP 2[ [R 3a[ Catalysts need to be initially activated on-stream with a mixture of 20% ethylene and 20% oxygen in methane as balance [44], The temperature was raised until first formation of carbon dioxide became notable. The initial selectivity is close to 70% and after time-in-stream for 1 day at 250 °C decreases to 62% at 1.3% conversion. This loss in selectivity at the expense of conversion is a general phenomenon during all investigations conducted in [44], Non-promo ted catalysts show a certain decrease in selectivity within a few days, particularly at high temperature and conversion. [Pg.300]

Catalysts with very low thicknesses such as 50 nm display a different behavior. A high initial selectivity of 56% at about 2% conversion decreases steeply with a change of conversion to 1 %. This is explained, however, as insufficient initial activation of the catalyst (20 vol.-% ethylene, 80 vol.-% oxygen 3 bar 0.23-2 s 250 °C) [43]. [Pg.306]

This construction is known as the Schmidt orthogonalization procedure. Since the initial selection for 0i can be any of the original functions ip, or any linear combination of them, an infinite number of orthogonal sets 0, can be obtained by the Schmidt procedure. [Pg.73]

Several pharmacologic classes are available for the treatment and maintenance of IBD. Because there may be differences in the underlying disease process, distribution, and severity between CD and UC, response rates to drugs in the same pharmacologic class may differ between these two diseases. Therefore, initial selection of an appropriate agent for patients with active IBD should be designed to deliver maximum efficacy while minimizing toxicity. Response rates to individual classes of medications for both UC and CD will be discussed within the specific treatment section for each disease. [Pg.286]

Based on culture and susceptibility data (if available), are there any changes that need to be made from your initial empiric antimicrobial selection (i.e., resistance to the regimen initially selected) ... [Pg.1157]

Step 1. Separate the initial data into two sets, corresponding to temperatures above and below Tb. Step 2. Make an initial selection from the low temperature set by rejecting all points with zero uncertainty and all points with uncertainties above a limit determined by the data selection algorithm described in section 1.5.2. Zero uncertainties are assigned to values that are not experimental and are included for comparison only (these are most often values recommended in other compilations). [Pg.12]


See other pages where Initial Selection is mentioned: [Pg.186]    [Pg.36]    [Pg.107]    [Pg.236]    [Pg.236]    [Pg.36]    [Pg.1751]    [Pg.111]    [Pg.179]    [Pg.183]    [Pg.406]    [Pg.985]    [Pg.986]    [Pg.206]    [Pg.101]    [Pg.62]    [Pg.183]    [Pg.1086]    [Pg.1086]    [Pg.65]    [Pg.397]    [Pg.611]    [Pg.303]    [Pg.306]    [Pg.318]    [Pg.338]    [Pg.172]    [Pg.576]    [Pg.174]    [Pg.180]    [Pg.275]   


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Highly selective initial excitation

Initial Compound Selection and Diversity Assessment

Initial Detector Selection

Initial Input-output Variable Selection

Initial Selection of HPLC Column

Initial state selection

Initial state-selected time-dependent

Initiators selection

Judicial Selection Initiative

Molecular dynamics initial condition selection

Packing selection, initial

Radiationless Decay Rates of Initially Selected Vibronic States in Polyatomic Molecules

Selected Examples for Peroxidase-Initiated Polymerizations

Selection of Initiating Events

Selection of Optimal Sampling Interval and Initial State for Precise Parameter Estimation

Selective initial conditions

Selective initial state

Some Remarks on How to Select Initial Conditions

Surface-selective initiator

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