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Particle weight

Sample weight estimated in this example is for two standard errors of 2.5 percent (resulting in V of 1.56) for testing iron ore (hematite) retained on a f4-in screen. Estimate of G is 5.5 for 94.5 percent of weight passing. Particle weight... [Pg.1757]

The fluid pressure in the rock at the bottom of a well is commonly defined as pore pressure (also called formation pressure, or reservoir pressure). Depending on the maturity of the sedimentary basin, the pore pressure will reflect geologic column overburden that may include a portion of the rock particle weight (i.e., immature basins), or a simple hydrostatic column of fluid (i.e., mature basins). The pore pressure and therefore its gradient can be obtained from well log data as wells are drilled. These pore pressure data are fundamental for the solution of engineering problems in drilling, well completions, production, and reservoir engineering. [Pg.264]

Fig. 6 Radius of gyration as a function of particle weight for AX-I in several solvents. The single, non-aggregated chains has = 62000g/mol, determined with the percarbani-lated sample in dioxane [102]... Fig. 6 Radius of gyration as a function of particle weight for AX-I in several solvents. The single, non-aggregated chains has = 62000g/mol, determined with the percarbani-lated sample in dioxane [102]...
The data for the fraction-steps can be in terms of numbers of particles, weight, %-weight or even a packed volume. We shall next Investigate parameters of distributions as a function of method of reporting data. [Pg.217]

Special attention must be paid to the interpretation of particle size data presented in terms of either weight or number of particles. Particle weight data may be more useful in sedimentation studies, whereas number data are of particular value in surface-related phenomena such as dissolution. Values on the basis of number can be collected by a counting technique such as microscopy, while values based on weight are usually obtained by sedimentation or sieving methods. Conversion of the estimates from a number distribution to a weight distribution, or vice versa, is also possible using adequate mathematical approaches, e.g., the Hatch-Choate equations. [Pg.247]

Finally, consider the case when the magnitude of the slip velocity between the particles and the gas is close to umf/e everywhere in the fluidized bed. With the vertical pressure drop equal to the particle weight, the following holds for any value of the particle Reynolds number,... [Pg.42]

Xj0 = tracer particle weight fraction in the bed after complete mixing... [Pg.322]

Xj, X j = tracer particle weight fractions in annulus and in bubble street, respectively... [Pg.322]

Compute the estimated mean particle weight in the /th grid cell 25 ... [Pg.361]

For each test case, a non-reacting scalar (e.g., mixture fraction) should be used to determine the spatial distribution of its mean and variance (i.e., (f) and (f/2 . These results can then be compared with those found by solving the RANS transport equations (i.e., (4.70), p. 120 and (4.90), p. 125) with identical values for (U) and Tt. Fike-wise, the particle-weight distribution should be compared with the theoretical value (i.e., (7.74)). While small fluctuations about the theoretical value are to be expected, a systematic deviation almost always is the result of inconsistencies in the particle-convection algorithm. [Pg.380]

These new estimates of the particle weight change the number of copies of the viral glycoprotein per viral particle. The polypeptides (capsid, 1, E2, and 3) are present in equimolar amounts (Garoff et al., 1974). Since 56.6% of the virus is protein (leaving out the carbohydrate content) the viral particle (using a molecular weight of 41-42 x 10 ) should contain about 180 copies of each protein. [Pg.82]

Thus, the ratio of the drag force to the particle weight is simply related to the voltage ratio K/Kq- An independent determination of the particle mass, such as by electron-stepping, permits the absolute value of the drag force to be determined. [Pg.16]

Unless 7 1, all terms in Eq. (11-33) must be retained. Since Eq. (11-30) has no formal justification, the individual terms cannot definitely be ascribed to added mass or history effects. Even so, the relative magnitudes of the terms are of interest. Figure 11.7 shows the three terms for specific values of 7 and Rejs, expressed as fractions of the immersed particle weight. Added mass dominates initially history passes through a maximum and decays slowly steady drag increases monotonically to become the sole component at the terminal velocity. Both A and Ah depart from unity early in the motion. For smaller Rexs, history may be the dominant drag component for a brief period (02). [Pg.298]

In simple terms, a cohesive powder can be defined as a material where the adhesive forces between particles exceed the particle weight by at least an order of magnitude. In such systems, particles no longer flow independently rather, they move in chunks whose characteristic size depends on the intensity of the cohesive stresses. [Pg.175]

The molecular weights determined by gel permeation analysis in high osmolarity (155 mM), agree with the particle weights obtained by SDS gel electrophoresis or sed-mentation equilibrium in the ultracentrifuge. The ability to transform to a less compact orm in low osmolarity (5 mM) appears to be a common property of all mutarotases. [Pg.288]


See other pages where Particle weight is mentioned: [Pg.48]    [Pg.257]    [Pg.1660]    [Pg.385]    [Pg.108]    [Pg.171]    [Pg.825]    [Pg.16]    [Pg.550]    [Pg.197]    [Pg.240]    [Pg.284]    [Pg.272]    [Pg.349]    [Pg.359]    [Pg.361]    [Pg.361]    [Pg.362]    [Pg.364]    [Pg.372]    [Pg.378]    [Pg.45]    [Pg.212]    [Pg.29]    [Pg.257]    [Pg.537]    [Pg.177]    [Pg.2]    [Pg.419]    [Pg.135]    [Pg.109]    [Pg.301]    [Pg.416]    [Pg.713]    [Pg.506]   
See also in sourсe #XX -- [ Pg.251 , Pg.252 ]




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Atomic weight basic particles

Charged particles weighting factor

Effective particle weight

Intensity-weighted particle size

Intensity-weighted particle size distribution

Molecular Weight and Particle Size Distributions

Molecular weight estimated from kinetic experiments (1 medium and 2 particle or droplet)

Particle size dependence polymer molecular weight

Particles, subatomic weight

Single-particle spectral weight

Subatomic particles atomic weight

Weight Distribution of the Particle Size

Weight average particle size

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