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Particle deposition rate, simulation

Penner RM (2001) Brownian dynamics simulations of the growth of metal nanocrystal ensembles on electrode surfaces in solution 2. The effect of deposition rate on particle size dispersion. Phys Chem B 105 8672... [Pg.189]

The dominant processes are apparently sediment deposition, sediment burial, volatilization,and deposition with air particles (i.e. dry dustfall and scavenging by rain). It is believed that the concentrations and process rates may be broadly consistent with average conditions in Lake Michigan in the early 1970s. No claim is made that the model simulates Lake Michigan precisely since the Lake has complex heterogeneous water movement and sedimentation. But the general behavior is believed to be correct and, with adjustment of the parameters, a better fit could be obtained. [Pg.194]

Thus far, these models cannot really be used, because no theory is able to yield the reaction rate in terms of physically measurable quantities. Because of this, the reaction term currently accounts for all interactions and effects that are not explicitly known. These more recent theories should therefore be viewed as an attempt to give understand the phenomena rather than predict or simulate it. However, it is evident from these studies that more physical information is needed before these models can realistically simulate the complete range of complicated behavior exhibited by real deposition systems. For instance, not only the average value of the zeta-potential of the interacting surfaces will have to be measured but also the distribution of the zeta-potential around the mean value. Particles approaching the collector surface or already on it, also interact specifically or hydrodynamically with the particles flowing in their vicinity [100, 101], In this case a many-body problem arises, whose numerical... [Pg.211]

Figures 16.38 and 16.39 demonstrate that the form of the particle size distributions is once again almost constant during the process time, and consequently the pneumatic recycled dust is not used for seed production. Dust is deposited on the particles because the nozzle position is close to the dust recycle tube (uniform wetted dust), and this leads to an enlarged particle growth. The measured time-dependent gas outlet temperature and the measured time-dependent conversion corresponds with simulations (Fig 16.40). The bed mass growth is linear at constant liquid injection rates (Fig. 16.41). The change in particle size distribution value and of the Sauter diameter is, again, declining. Figures 16.38 and 16.39 demonstrate that the form of the particle size distributions is once again almost constant during the process time, and consequently the pneumatic recycled dust is not used for seed production. Dust is deposited on the particles because the nozzle position is close to the dust recycle tube (uniform wetted dust), and this leads to an enlarged particle growth. The measured time-dependent gas outlet temperature and the measured time-dependent conversion corresponds with simulations (Fig 16.40). The bed mass growth is linear at constant liquid injection rates (Fig. 16.41). The change in particle size distribution value and of the Sauter diameter is, again, declining.
To examine the first problem in more detail, Gordon and Olmez performed calculations that crudely simulated an air mass moving up the Ohio River Valley and into New England (14). They assumed that identical coal-fired plants were spaced at 50-km intervals over 1000 km and eliminated them for an additional 800 km. They assumed a ratio of Se/S = 0.00028 in the coal, and that 50% of the Se is released up the stack, of which 50% quickly becomes attached to particles, with the remainder staying in the gas phase. The atmosphere was assumed to be uniformly mixed up to 1.5 km and the wind speed, 10 km/hr. Selenium and sulfate particles were assumed to have the same deposition velocity, Vg2 and SO2 a larger value, Vg. Sulfur dioxide was also converted at a rate kr —... [Pg.78]

In a further study, Chellam and Wiesner (1997) showed that the specific resistance of the deposit increased with shear rate and decreased with initial flux. This implied that the deposit structure is also important. Additionally, Veerapaneni and Wiesner (1994) simulated the deposition of particles on permeable surfaces. Small particles ( 1 pm) and low fluid velocities favoured the formation of loose deposits on the surface, while particles > 1 pm formed dense deposits. These results show the impact of colloid size on particle packing and thus the permeability of the deposit. Particle-particle interactions, however, were neglected. [Pg.69]

More importantly, the MD results show that it is possible to alter the morphology and mobility of metal nanoparticles by changing their support. When deposited on carbon nanotubes, platinum particles diffuse at a slower rate than on graphite, which decreases sintering and should lead to increased long-term performance in catalytic applications [117]. Figure 8.4(a) shows a simulation set up in which the two graphite sheets are parallel to each other and are perpendicular to... [Pg.402]

The numerical simulation of the chronoamperometirc tip current revealed that the high rate of Ag reduction (5-10 cm/s) at the ITIES weakly depends on the Galvani potential dilference across the ITIES. Moreover, the local deposition of Ag particles at the interface under the SECM tip was visualized by confocal microscopy (Fig. 16b). The deposition of much smaller Ag particles will be possible using a newly developed Ag nanoelectrode as an SECM tip. ... [Pg.28]

SEDZLJ capabilities for simulating armoring of the sediment bed are generally similar to those for the EFDC model. Armoring of the bed and a resulting decrease in erosion rates can be represented by consolidation of cohesive sediments with depth and time, and local deposition of coarser particle types and/or preferential resuspension of finer particle types during an erosion event. [Pg.286]


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See also in sourсe #XX -- [ Pg.202 , Pg.203 ]




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