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Prediction yield factors

For most practical purposes, the onset of plastic deformation constitutes failure. In an axially loaded part, the yield point is known from testing (see Tables 2-15 through 2-18), and failure prediction is no problem. However, it is often necessary to use uniaxial tensile data to predict yielding due to a multidimensional state of stress. Many failure theories have been developed for this purpose. For elastoplastic materials (steel, aluminum, brass, etc.), the maximum distortion energy theory or von Mises theory is in general application. With this theory the components of stress are combined into a single effective stress, denoted as uniaxial yielding. Tlie ratio of the measure yield stress to the effective stress is known as the factor of safety. [Pg.194]

Prud homme are about a factor of three larger than the predictions of Eq. (9-55), if Y() and C (Newtonian viscosity plateau at low shear rates, while Eq. (9-55) predicts yield behavior at low shear rates, with a power-law viscosity-shear rate slope of—1. The emulsions of Otsubo and Prud homme are evidently affected to some extent by Brownian motion, which is not accounted for in Eq. (9-55). Further experimental and theoretical work on emulsion rheology will be required to establish general scaling rules for these complex emulsions. [Pg.425]

Fig. 12. Model predictions vs. experimental measurements of Wilk et al. (1995) from butane oxidation at 715 K. The predicted yields are generally within a factor of two of the experimental data, reflecting roughly factor of two uncertainties in rate constant estimates. As is typical, the discrepancies are largest at high conversions, both because the errors in the parameters cumulate, and because the model may be missing some reactions of the minor byproducts (Please see Color Plate Section in the back of this book). Fig. 12. Model predictions vs. experimental measurements of Wilk et al. (1995) from butane oxidation at 715 K. The predicted yields are generally within a factor of two of the experimental data, reflecting roughly factor of two uncertainties in rate constant estimates. As is typical, the discrepancies are largest at high conversions, both because the errors in the parameters cumulate, and because the model may be missing some reactions of the minor byproducts (Please see Color Plate Section in the back of this book).
The fact that constant growth parameters will predict the isomer distribution data reasonably is remarkable. It is not necessary that the kinetic constants governing chain growth are independent of chain length and structure but that certain ratios of these parameters are constant. The fraction of tertiary carbons has been reported to decrease with carbon number beyond Cio (i7). The SCG scheme predicts a maximum and subsequent decrease, but the maxima occur at C12-C14 for products considered in this chapter. For the cobalt product, all schemes predict yields of dimethyl species that are often too large by factors of two to four. The simple schemes with constant growth parameters as described here are unable to predict the isomer distribution sensibly for products from fixed-bed iron (16) and from fixed-bed nickel... [Pg.126]

At a direct inspection of experimental fractional independent yields and their fits by Gaussian curves one can observe that yield values with even proton and/or neutron numbers tend to lie above the curve and those with odd numbers tend to lie below it. This is taken into account by two factors EOZ and EON, the even-odd (or odd-even) factors for protons and neutrons, respectively. These values may be given in percentage. In this way, an EOZ-value of, e.g., 15% corresponds to a factor 1.15 by which a value read from the Gaussian curve has to be multiplied (even-Znuclide) or divided (odd-Znuclide) in order to obtain the predicted yield. [Pg.267]

Engineers have known for some time that the maximum shear stress theory and the distortion energy theory predict yielding and fatigue failure in ductile materials better than does the maximum stress theory. However, the maximum stress theory is easier to apply, and with an adequate safety factor it gives satisfactory designs. But where a more exact analysis is desired, the maximum shear stress theory is used. [Pg.26]

The use of oximes as nucleophiles can be quite perplexing in view of the fact that nitrogen or oxygen may react. Alkylation of hydroxylamines can therefore be a very complex process which is largely dependent on the steric factors associated with the educts. Reproducible and predictable results are obtained in intramolecular reactions between oximes and electrophilic carbon atoms. Amides, halides, nitriles, and ketones have been used as electrophiles, and various heterocycles such as quinazoline N-oxide, benzodiayepines, and isoxazoles have been obtained in excellent yields under appropriate reaction conditions. [Pg.307]

Dimerization is reportedly catalyzed by pyridine [110-86-1] and phosphines. Trialkylphosphines have been shown to catalyze the conversion of dimer iato trimer upon prolonged standing (2,57). Pyridines and other basic catalysts are less selective because the required iacrease ia temperature causes trimerization to compete with dimerization. The gradual conversion of dimer to trimer ia the catalyzed dimerization reaction can be explained by the assumption of equiUbria between dimer and polar catalyst—dimer iatermediates. The polar iatermediates react with excess isocyanate to yield trimer. Factors, such as charge stabilization ia the polar iatermediate and its lifetime or steric requirement, are reported to be important. For these reasons, it is not currently feasible to predict the efficiency of dimer formation given a particular catalyst. [Pg.451]

All metals, on the other hand, have yield strengths far below the levels predicted by our calculation - as much as a factor of 10 smaller. Even ceramics, many of them, yield at stresses which are as much as a factor of 10 below their ideal strength. Why is this ... [Pg.95]

As also discussed by Maugis and Pollock, the hardness of the material is related to its yield strength Y by H = 2>Y. The factor of 3 is a consequence of the deformation constraints of the indentor geometry used in hardness measurements. In the absence of an applied load, the MP theory predicts that... [Pg.159]

The results shown for compounds (26)-(29) and (36) suggest that a rather subtle balance of various factors has to be considered for a prediction of relative yields and structures of products. Although fission of the more highly alkyl substituted bond by a-cleavage proceeds with a high degree of selectivity in the primary photochemical step, the subsequent disproportiona-... [Pg.300]

Le Chatelier s Principle permits the chemist to make qualitative predictions about the equilibrium state. Despite the usefulness of such predictions, they represent far less than we wish to know. It is a help to know that raising the pressure will favor production of NH3 in reaction (10a). But how much will the pressure change favor NH3 production Will the yield change by a factor of ten or by one-tenth of a percent To control a reaction, we need quantitative information about equilibrium. Experiments show that quantitative predictions are possible and they can be explained in terms of our view of equilibrium on the molecular level. [Pg.151]

The prediction step for PLS is also slightly different than for PCR. It is also done on a rank-by-rank basis using pairs of special and concentration factors. For each component, the projection of the unknown spectrum onto the first spectral factor is scaled by a response coefficient to become a corresponding projection on the first concentration factor. This yields the contribution to the total concentration for that component that is captured by the first pair of spectral and concentration factors. We then repeat the process for the second pair of factors, adding its concentration contribution to the contribution from the first pair of factors. We continue summing the contributions from each successive factor pair until all of the factors in the basis space have been used. [Pg.132]

In this equation, Summerfield has shown that the parameter b1 should be very sensitive to the flame temperature of the propellant. At the same time, the factor b2 should be strongly dependent on oxidizer particle size. To check these predictions, Summerfield prepared four propellants using 120 and 16 oxidizer particles at 75 and 80% loadings. Correlation of the burning-rate data with Eq. (39) yields the values for the parameters given in Table I. The experimentally observed trends are consistent with predicted effects. [Pg.45]


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See also in sourсe #XX -- [ Pg.108 ]




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