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Mixing simulation

The development of the above more dedicated LES and DNS is promoted by the introduction of LB techniques into the world of turbulent mixing simulations. LB techniques provide a viable alternative for the more classical FV solvers of the commercial CFD software, in particular in the context of parallel simulations on multiple processors. LB techniques are also inherently faster than FV techniques due to the locality of their operations. In addition, complex boundaries are easier to implement in the LB approach than with FV solvers. [Pg.219]

Fig. 22.4. Oxygen fugacity (top) and concentrations of the predominant sulfur species (bottom) during the mixing simulation shown in Figure 22.3. Decrease in the H2S(aq) concentration is mostly in response to dilution with seawater, rather than oxidation. Fig. 22.4. Oxygen fugacity (top) and concentrations of the predominant sulfur species (bottom) during the mixing simulation shown in Figure 22.3. Decrease in the H2S(aq) concentration is mostly in response to dilution with seawater, rather than oxidation.
As a simple example of a QM/MM Car-Parinello study, we present here results from a mixed simulation of the zwitterionic form of Gly-Ala dipeptide in aqueous solution [12]. In this case, the dipeptide itself was described at the DFT (BLYP [88, 89 a]) level in a classical solvent of SPC water molecules [89b]. The quantum solute was placed in a periodically repeated simple cubic box of edge 21 au and the one-particle wavefunctions were expanded in plane waves up to a kinetic energy cutoff of 70 Ry. After initial equilibration, a simulation at 300 K was performed for 10 ps. [Pg.20]

A laboratory glass-walled mixing simulator (dimensions 0.7 m x 0.5 m x 0.02 m) was built based on the pilot-scale apparatus (Fig. 1). Three pulsating pistons were attached at the bottom of the simulator. The circulation of the particles is due to the sequence of the pulsation of the pistons. The pattern of motion using the pistons is similar to the motion achieved by vibrating processes [6]. The difference between the two processes is that any kind of motion pattern can be acquired by using the pulsating mixer independently from the shape of vessel. [Pg.293]

Fig. 1. Schematic diagram of the laboratory glass-walled mixing simulator of (a) cylinder in the middle move down (b) cylinders in the middle move upwards. Fig. 1. Schematic diagram of the laboratory glass-walled mixing simulator of (a) cylinder in the middle move down (b) cylinders in the middle move upwards.
Fig. 2. Photo of the mixing simulator during measurement (1, 2, 3 selected cylinders sequence 2). (a) Before movement, (b) after 50 sequences, (c) after 100 sequences, (d) after 150 sequences, (e) after 200 sequences, and (f) after 250 sequences. Fig. 2. Photo of the mixing simulator during measurement (1, 2, 3 selected cylinders sequence 2). (a) Before movement, (b) after 50 sequences, (c) after 100 sequences, (d) after 150 sequences, (e) after 200 sequences, and (f) after 250 sequences.
Table 2 Molar fraction of water in the ionic liquid and of the ionic liquid in water, as well as width of the interface as found in the molecular-dynamics simulations with different force fields. (IL) describes the effective charge of the ions in the ionic liquid used in the force field for this system, and FF(H20) describes the force field for the water. The results for the mixing simulations were obtained by considering a system where the ionic liquid and the water initially were separated, whereas demixing marks results where the two systems initially formed a mixture. All results are from ref 29... [Pg.76]

It is usual in laminar mixing simulations to represent the flow using tracer trajectories. The computation of such flow trajectories in a coaxial mixer is more complex than in traditional stirred tank modelling due to the intrinsic unsteady nature of the problem (evolving topology, flow field known at a discrete number of time steps in a Lagrangian frame of reference). Since the flow solution is periodic, a node-by-node interpolation using a fast Fourier transform of the velocity field has been used, which allowed a time continuous representation of the flow to be obtained. In other words, the velocity at node i was approximated... [Pg.2765]

The results of the mixing simulations are plotted together with the actual... [Pg.278]

Mixing simulation was carried out by finite volume computations with the multi physics software package CFDRC ACE +, 43 The mixing time was estimated assuming diffusion of water molecules in water (injected at a total flow rate of 2pLmin 1) across the microchannel. [Pg.203]

Effect of inhibitors In the presence of nitrite inhibitor at 9.9 L/m in the concrete mix, simulations were performed with a chloride threshold concentration of 3.56 kg/m, concrete cover thickness of 7.62 cm, and surface chloride concentration of 5.34 kg/ m. Figure 12.14 shows the chloride concentration profile in concrete for an inhibitor concentration of 9.9 L/m. Comparison of Figs. 12.8 and 12.14 shows that the time needed to increase chloride concentration beyond the threshold value increases for a given thickness of concrete cover approximately fivefold. [Pg.549]

Since it is possible to have adjacent equipment items operating in batch and continuous modes, it is important to understand the conventions used when preparing a mixed simulation with batch and continuous operations. In most cases, it is desirable to install a holding tank to moderate the surges that would otherwise occur. [Pg.150]

Many of the mixing simulations described in the previous section deal with the modeling of mass transfer between miscible fluids [33, 70-77]. These are the simulations which require a solution of the convection-difliision equation for the concentration fields. For the most part, the transport of a dilute species with a typical diSusion coeflEcient 10 m s between two miscible fluids with equal physical properties is simulated. It has already been mentioned that due to the discretization of the convection-diffusion equation and the typically small diffusion coefficients for liquids, these simulations are prone to numerical diffiision, which may result in an over-prediction of mass transfer efficiency. Using a lattice Boltzmann method, however, Sullivan et al. [77] successfully simulated not only the diffusion of a passive tracer but also that of an active tracer, whereby two miscible fluids of different viscosities are mixed. In particular, they used a coupled hydrodynamic/mass transfer model, which enabled the effects of the tracer concentration on the local viscosity to be taken into account. [Pg.135]

The flow and mixing simulations for grid type dependency calculations were carried out for the flotation tank geometry showed in figure 5. The tank is cylindrical and has six symmetrically placed vertical baffles and one horizontal baffle on the cylindrical walls. [Pg.961]

The last effects in a chain are best used at the project level as Master bus FX. A Reverb effect is often the last effect used in a chain. Reverb is also a delay-type effect and adds space to a mix, simulating various room types and environments. Use caution when applying reverb at the track level, so that various tracks don t sound like they were recorded in different rooms (although reverb is commonly used on drums and vocals to bring these parts out of a mix). EQ fdters can also be used at the project level to polish a mix in the final stages, although it is better to take the time and use EQ more precisely at the track level to highlight individual parts and instruments. [Pg.143]

Lamellar Mixing Simulation Using the Engulfment Model... [Pg.846]

Figure 10.21b and c show simulation results of the time evolution of a blob of tracer particles during a typical mixing simulation. Figure 10.21b shows the evolution without collisional diffusion, whereas Figure 10.21c includes diffusion. In a typical experiment, the blob is deformed into a filament by the shear flow and blurred by collisional diffusion until particles exit the layer. This is the only form of mixing in mixers with circular cross sections. Particles then execute a solid body rotation in the bed, reenter the layer, and the process repeats. The evolution of a blob in the entire mixer is shown in Figure 10.21d. [Pg.376]


See other pages where Mixing simulation is mentioned: [Pg.575]    [Pg.209]    [Pg.147]    [Pg.219]    [Pg.226]    [Pg.112]    [Pg.203]    [Pg.747]    [Pg.144]    [Pg.315]   
See also in sourсe #XX -- [ Pg.261 ]




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Lamellar Mixing Simulation Using the Engulfment Model

Mixed analog/digital simulations

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Mixing fluid dynamics simulation

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