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Coefficient of merit

The method for the dynamic evaluation of machine tools under test conditions has been described. The procedure evolved, covering the determination of the response data (and from this that of the operative receptance locus ), the prediction of the stability chart, the concept of the coefficient of merit describing machine quality, will be summarised in relation to the particular case of the bonded machine. [Pg.22]

The coefficient of merit (CoM) is a measure of the chatter resistance of a machine. It is proportional to the maximum width of cut which is unconditionally stable at all speeds. The factor of proportionality is dependent on the cutting conditions but not on the machine structure. The CoM is inversely proportional to the maximum negative in-phase component of the operative receptance of the structure, this being the cross receptance in the direction of the normal to the machined surface, due to a unit representative cutting force in the direction P as shown in... [Pg.22]

Fig. 1.21. Coefficient of merit as a function of d/R and y/. (a) Bonded machine, down milling, (b) Bonded machine, up milling, (c) Cast-iron machine, down milling dotted line represents experimental conditions, (d) Cast-iron machine, up milling dotted line represents experimental conditions. Fig. 1.21. Coefficient of merit as a function of d/R and y/. (a) Bonded machine, down milling, (b) Bonded machine, up milling, (c) Cast-iron machine, down milling dotted line represents experimental conditions, (d) Cast-iron machine, up milling dotted line represents experimental conditions.
In view of this, early quantum mechanical approximations still merit interest, as they can provide quantitative data that can be correlated with observations on chemical reactivity. One of the most successful methods for explaining the course of chemical reactions is frontier molecular orbital (FMO) theory [5]. The course of a chemical reaction is rationali2ed on the basis of the highest occupied molecular orbital (HOMO) and the lowest unoccupied molecular orbital (LUMO), the frontier orbitals. Both the energy and the orbital coefficients of the HOMO and LUMO of the reactants are taken into account. [Pg.179]

Composite Devices. Composites made of active-phase PZT and polymer-matrix phase are used for the hydrophone and medical imaging devices (see Composite materials, polymer-matrix Imaging technology). A usehil figure of merit for hydrophone materials is the product of hydrostatic strain coefficient dj and hydrostatic voltage coefficient gj where gj is related to the dj coefficient by (74)... [Pg.208]

Fig. 4. Dependence of thermoelectric parameters on carrier concentration, where (—) is the Seebek coefficient (5) the figure of merit Z) (-),... Fig. 4. Dependence of thermoelectric parameters on carrier concentration, where (—) is the Seebek coefficient (5) the figure of merit Z) (-),...
Very recently, considerable effort has been devoted to the simulation of the oscillatory behavior which has been observed experimentally in various surface reactions. So far, the most studied reaction is the catalytic oxidation of carbon monoxide, where it is well known that oscillations are coupled to reversible reconstructions of the surface via structure-sensitive sticking coefficients of the reactants. A careful evaluation of the simulation results is necessary in order to ensure that oscillations remain in the thermodynamic limit. The roles of surface diffusion of the reactants versus direct adsorption from the gas phase, at the onset of selforganization and synchronized behavior, is a topic which merits further investigation. [Pg.430]

Another problem arises from the presence of higher terms in the multipole expansion of the electrostatic interaction. While theoretical formulas exist for these also, they are even more approximate than those for the dipole-dipole term. Also, there is the uncertainty about the exact form of the repulsive interaction. Quite arbitrarily we shall group the higher multipole terms with the true repulsive interaction and assume that the empirical repulsive term accounts for both. The principal merit of this assumption is simplicity the theoretical and experimental coefficients of the R Q term are compared without adjustment. Since the higher multipole terms are known to be attractive and have been estimated to amount to about 20 per cent of the total attractive potential at the minimum, a rough correction for their possible effect can be made if it is believed that this is a preferable assumption. [Pg.70]

Figure 2.8. The slopes and residuals are the same as in Figure 2.4 (50,75,100, 125, and 150% of nominal black squares), but the A -values are more densely clustered 90, 95, 100, 105, and 110% of nominal (gray squares), respectively 96, 98, 100, 102, and 104% of nominal (white squares). The following figures of merit are found for the sequence bottom, middle, top the residual standard deviations +0.00363 in all cases the coefficients of determination 0.9996, 0.9909, 0.9455 the relative confidence intervals of b +3.5%, +17.6%, 44.1%. Obviously the extrapolation penalty increases with decreasing Sx.x, and can be readily influenced by the choice of the calibration concentrations. The difference in Sxx (6250, 250 resp. 40) exerts a very large influence on the estimated confidence limits associated with a, b, Y(x), and X( y ). Figure 2.8. The slopes and residuals are the same as in Figure 2.4 (50,75,100, 125, and 150% of nominal black squares), but the A -values are more densely clustered 90, 95, 100, 105, and 110% of nominal (gray squares), respectively 96, 98, 100, 102, and 104% of nominal (white squares). The following figures of merit are found for the sequence bottom, middle, top the residual standard deviations +0.00363 in all cases the coefficients of determination 0.9996, 0.9909, 0.9455 the relative confidence intervals of b +3.5%, +17.6%, 44.1%. Obviously the extrapolation penalty increases with decreasing Sx.x, and can be readily influenced by the choice of the calibration concentrations. The difference in Sxx (6250, 250 resp. 40) exerts a very large influence on the estimated confidence limits associated with a, b, Y(x), and X( y ).
Procedure, accuracy Use the algorithm below with the coefficients given in Table 5.6 the figures of merit are given in Table 5.7. The accuracy of the approximations is sufficient for most applications. [Pg.338]

Winter, Underhill, and co-workers have published extensively on the cubic NLO properties of complexes of DT and related ligands,411 22 particularly those containing formally Ni11 centers. For example, time-resolved 1,064 nm DFWM was used to obtain resonantly enhanced values for group 10 complexes such as (157).411 15 The smaller of (157) compared with (156) is largely due to resonance effects since the absorption maximum of (157) is somewhat removed from the laser fundamental. However, figures of merit derived from measurements of 2 and linear and two-photon absorption (TPA) coefficients show that low optical losses render complexes such as (157) superior to (156)413 for potential all-optical switching applications.411 14... [Pg.656]

The thermal resistance will be temperature-dependent as canbe seen in Eq. (3.24), which is not only a consequence of the temperature dependence of the thermal heat conduction coefficients. The measured membrane temperature, Tm, is related to the location of the temperature sensor, so that the temperature distribution across the heated area will also influence the thermal resistance value. The nonlinearity in Eq. (3.24) is, nevertheless, small. The expression thermal resistance consequently often refers to the coefficient t]o only, which is used as a figure of merit and corresponds, according to Eqs. (3.24) and (3.25), to the thermal resistance or thermal efficiency of the microhotplate at ambient temperature, Tq. The temperature Tm can be determined from simulations with distinct heating powers. The thermal resistance then can be extracted from these data. [Pg.25]

There are several figures of merit that can be used to describe the quality of a linear regression model. One very common figure of merit is the correlation coefficient, r, which is defined as ... [Pg.361]

In this connection a more detailed account will only be given of a method that permits calculation of HMO orbital energies of a model of a heterocycle without expanding the secular determinant from the knowledge of molecular orbital energies and expansion coefficients of the parent hydrocarbon.11-15 Now that automatic computing machines are commonly used for quantum-chemical calculations we see the chief merit of the method in that it permits one to study the effect of empirical parameters on energy characteristics in a clear-cut and concise manner. [Pg.73]

Table 2. Second harmonic generation figures of merit relative to LiNb03 (d13 coefficient) for materials with potential for waveguide applications... Table 2. Second harmonic generation figures of merit relative to LiNb03 (d13 coefficient) for materials with potential for waveguide applications...

See other pages where Coefficient of merit is mentioned: [Pg.28]    [Pg.41]    [Pg.28]    [Pg.41]    [Pg.300]    [Pg.5]    [Pg.278]    [Pg.52]    [Pg.151]    [Pg.1182]    [Pg.93]    [Pg.149]    [Pg.47]    [Pg.212]    [Pg.657]    [Pg.657]    [Pg.215]    [Pg.508]    [Pg.181]    [Pg.328]    [Pg.267]    [Pg.361]    [Pg.351]    [Pg.175]    [Pg.135]    [Pg.57]    [Pg.163]    [Pg.263]    [Pg.255]    [Pg.233]    [Pg.300]    [Pg.82]    [Pg.132]   


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