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Particle concentration normalized coefficients

Table I Particle Concentration Normalized Transport Coefficients (L/t)... Table I Particle Concentration Normalized Transport Coefficients (L/t)...
Including the particle resuspenion velocity, the details of five individual mass-transfer coefficients were presented above. These appear in Table I normalized to the chemical concentration on solid particles in the bed. Although the particle resuspension and particle biodiffusion transport coefficients remain unchanged the ones defined with solute concentrations require the msKo term for conversions to the equivalent particle concentration form. The Kd is the particle-to-porewater chemical partition coefficient (L /M). In doing so all can be compared on the same numerical basis. [Pg.142]

The purpose of this section was to review the known or suspected individual processes for moving soluble chemicals near and within bed sediments. From this set those that 1) are supported by data, 2) have a sound theoretical foundation and 3) have algorithms for making computations were selected as the candidate theoretical processes. They are listed in Table I. The well known and accepted resistance-in-series concept was used to connect processes on either side of the interface and to represent the combined contributions as the overall mass-transfer coefficient. Some coefficients are normally defined using a solute concentration basis and some are defined using a particle concentration basis. The particle concentration form was chosen to express all the coefficients so that numerical values can be compared directly. [Pg.143]

The wear coefficient varies with slurry concentration. Figure 5 shows the variation of the wear coefficient with slurry concentration for POM. A linear relation exists for 2 N and slurry concentrations below 600 g/1, whereas at a normal load of 0.5 N the relation is clearly non-linear. Generally, the erosive wear rate increases with an increase in particle concentration (or the number of particles). However, for polymers, this linear relation of erosive wear with particle concentration is less obvious [9-11]. [Pg.167]

Probably, the change in wear coefficient with slurry concentration can be explained by the ease of particle entrainment into the contact area and as a result of that, by the transition in wear mechanism from three- to two-body wear. Trezona et al showed that a minimum concentration of abrasive particles is needed to ensure three-body rolling wear [6]. The abrasive particle concentration in the contact area will decrease with increasing load and with decreasing slurry concentration. This means that on the left-hand side in figure 5, with a normal load of 0.5 N, wear will be predominantly two-body grooving. [Pg.167]

Sorption. Capture of neutral organics by non-living particulates depends on the organic carbon content of the solids (9). Equilibrium sorption of such "hydrophobic" compounds can be described by a carbon-normalized partition coefficient on both a whole-sediment basis and by particle size classes. The success of the whole-sediment approach derives from the fact that most natural sediment organic matter falls in the "silt" or "fine" particle size fractions. So long as dissolved concentrations do not exceed 0.01 mM, linear isotherms (partition coefficients) can be used. At higher concentrations, the sorptive capacity of the solid can be exceeded, and a nonlinear Freundlich or Langmuir isotherm must be invoked. [Pg.27]

It was found that the requirements were satisfied for application of the linear regression technique to species mass concentrations in a multicomponent aerosol. The results of 254 particle size distributions measured at China Lake in 1979 indicate that the normalized fine aerosol volume distribution remained approximately constant. The agreement between the calculated and measrued fine particle scattering coefficients was excellent. The measured aerosol sulfur mass distribution usually followed the total distribution for particles less than 1 ym. It was assumed that organic aerosol also followed the total submicron distribution. [Pg.152]

Fick s first law of diffusion states that the concentration of particles crossing unit area in unit time J is proportional to the concentration gradient normal to the unit area dc/dx. The constant of proportionality D is known as the diffusion coefficient. Symbolically, for the current through a plane set at right angles to the x direction,... [Pg.79]

Ferrimagnetic nanoparticles of magnetite (Fc304) in diamagnetic matrices have been studied. Nanoparticles have been obtained by alkaline precipitation of the mixture of Fe(II) and F(III) salts in a water medium [10]. Concentration of nanoparticles was 50 mg/ml (1 vol.%). The particles were stabilized by phosphate-citrate buffer (pH = 4.0) (method of electrostatic stabilization). Nanoparticle sizes have been determined by photon correlation spectrometry. Measurements were carried out at real time correlator (Photocor-SP). The viscosity of ferrofluids was 1.01 cP, and average diffusion coefficient of nanoparticles was 2.5 10 cm /s. The size distribution of nanoparticles was found to be log-normal with mean diameter of nanoparticles 17 nm and standard deviation 11 nm. [Pg.50]

Diffusion of A within the porous pellet takes place. If the pores arc very large this may be the normal type of molecular diffusion, but if the pore radius is smaller than the mean free path, a molecule will hit the pore wall more often than it hits its fellows, and this is the Knudsen regime of diffusion. Both types of diffusion can be described by Fick s law in which the flux is proportional to the concentration gradient, and if the diffusion coefficient is not in some sense large there may be large variations in the concentration of A within the pellet. Let r denote position within the catalyst particle then the concentration of A within the particle is a(r), a function of that position, and obeys the partial differential equation for diffusion with a(r) = as when r is a position on the exterior surface of the particle. Clearly, this is a complicated matter and we shall seek ways of simplifying it in Sec. [Pg.123]

Fig. 15 Normalized diffusion coefficients D(q 0)/Do as functions of the volume fraction for PMMA-grafted silica particles DP 150 open square) and DP 760 (open circle) in CCL4 (good solvent for PMMA) at 2(FC [208]. The different crossover concentrations in the dynamics are indicated by solid and vertical arrows. The inset shows in magnification the area bounded by the rectangle around a normalized diffusion coefficient value of 1 in the main plot, using the same colors and symbols (solid ) for the two systems. Lines are drawn to guide the eye... Fig. 15 Normalized diffusion coefficients D(q 0)/Do as functions of the volume fraction for PMMA-grafted silica particles DP 150 open square) and DP 760 (open circle) in CCL4 (good solvent for PMMA) at 2(FC [208]. The different crossover concentrations in the dynamics are indicated by solid and vertical arrows. The inset shows in magnification the area bounded by the rectangle around a normalized diffusion coefficient value of 1 in the main plot, using the same colors and symbols (solid ) for the two systems. Lines are drawn to guide the eye...

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Particle concentration normalized

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