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Loading coefficient

Chamber load coefficient, 0.75 Initial chamber temperature, 60°C Initial rotor speed, 60 rpm Load rubber, close the ram, 0-20 s... [Pg.511]

The jackknife estimate of variance can be used to assess the significance of the weight and loading coefficients in a PLS model. This is a valuable source of information in case interpretation of the parameters is warranted. The weights with jackknifed standard deviations from the BHT example are given in Table 6.5. The weights of the first PLS dimension suggest that the behavioural effect of these doses of BHT is to suppress most aspects of a rat s... [Pg.313]

According to the data in Table 25.5 and to Eq. (25.6) the compressive strength of filaments of refractory materials such as carbon and silicon carbide have compressive strengths about 10 times as large as those of organic fibres. This would seem to be a serious restriction to the use of organic polymers such as aramids in their application in composites. For most of the applications this restriction is of minor importance, however, since long before ac max is reached, instability in the construction will occur. The resistance of a column or a panel under pressure is proportional to the product of a load coefficient and a material efficiency criterion ... [Pg.836]

Graphical representations of packing parameters and are given in Figs. 6,4-1 and 6.4-2. The vapor-load coefficient, which accounts for the effect of approach to flood point on HL, is plotted as a functina of the flood ratio Fr in Fig. 6.4-3. As used in Flga. 6.4-1, 6.4-2, and 6.4-3, L is the mass velocity of the liquid (Ibjh-ft1) and Fr is the flood ratio at constant UG = VqJV, where Vo, is the velocity (ft/s) of vapor bined ou superficial area and V is the valocity (ft/s) of vapor hased on superficial area at flood point (from Eckert model8). [Pg.382]

FIGURE 6,4-3 Vapor load coefficient for the Bolles-Fair liquid-phase mass transfer model. (From Bolles and Fair,4 excerpted by special permission from Chemical Engineering, July 12. 19B2, Copyright 19B2 by McGraw-Hill, New York.)... [Pg.385]

The periodic weighting interval of the main roof in 316-04 typical shallow-buried long wall mining face is 14.2 m on average, and the maximum interval is 19 m, the minimum is 6 m. The average periodic weighting dynamic load coefficient is 1.3, while the maximum is 1.66, the minimum is 1.10. [Pg.996]

Heat deformation temperature under a 0.455 MPa load Coefficient of linear thermal expansion... [Pg.192]

Last but not least, one should not forget that for practical applications the hardness at room and at a high temperature is only one of many properties which determine the applicability of a material. Further mechanical properties, such as fracture toughness under static and dynamic load, coefficient of friction, corrosion resistance, and reactivity with the material to be machined at room as well as at elevated temperature are decisive for most applications. [Pg.111]

In this equation ip is a packing parameter shown in Figure 16-6. and CfL is a vapor load coefficient shown... [Pg.677]

Figure 16-7. Vapor load coefficient C l for Hl calculation (Bolles and Fair. 19821 excerpted by special permission from Cfiem/ca/ Engineering, 89 (14), 109 (July 12, 1982), copyright 1982,... Figure 16-7. Vapor load coefficient C l for Hl calculation (Bolles and Fair. 19821 excerpted by special permission from Cfiem/ca/ Engineering, 89 (14), 109 (July 12, 1982), copyright 1982,...
This formulation of the B.H.L. line contact problem also incoporates an improved elastic calculation which generates a set of deformation coefficients using a local quadratic pressure expression using three nodes. The load coefficient. .., are produced In a similar manner and are defined in [3]. [Pg.189]

In PLS, models with many variables, plots, and lists of loadings, coefficients, VIP, etc., become messy, and the results are difficult to interpret. There is then a strong temptation to reduce the number of variables to a smaller, more manageable number. This reduction of variables, however, often removes information, makes the interpretation misleading, and seriously increases the risk of obtaining spurious models (see Section 8.5). [Pg.2018]


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