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Models/modeling hydrodynamic systems

A reciprocal proportionality exists between the square root of the characteristic flow rate, t/A, and the thickness of the effective hydrodynamic boundary layer, <5Hl- Moreover, f)HL depends on the diffusion coefficient D, characteristic length L, and kinematic viscosity v of the fluid. Based on Levich s convective diffusion theory the combination model ( Kombi-nations-Modell ) was derived to describe the dissolution of particles and solid formulations exposed to agitated systems [(10), Chapter 5.2]. In contrast to the rotating disc method, the combination model is intended to serve as an approximation describing the dissolution in hydrodynamic systems where the solid solvendum is not necessarily fixed but is likely to move within the dissolution medium. Introducing the term... [Pg.140]

Hydrodynamic and frictional effects may be described by a Cartesian mobility tensor which is generally a function of all of the system coordinates. In models of systems of beads (i.e., localized centers of hydrodynamic resistance) with hydrodynamic interactions, is normally taken to be of the form... [Pg.70]

From the discussion of various simulation methods, it is clear that they will continue to play an important role in further development of aggregation theories as they have advanced the state of knowledge over the last 20 years. The major limitation of the precise methods of Molecular and Brownian Dynamics continues to be difficulty associated with treatment of aggregates with complex geometry the same topic that limits the ability to model these systems using von Smoluchowski s approach. Research needs to be conducted on the hydrodynamics of interactions between fractal aggregates of increasing complexity in order to advance the current ability to describe these types of systems. [Pg.548]

Unlike fixed bed designs where scale up data may be obtained semi-empirically, continuous countercurrent ion exchange plant requires model hydrodynamic data for both the liquid and resin phases as well as predetermined equilibrium and kinetic data for a chosen system. A continuous cycle becomes particularly attractive when required to treat more highly concentrated liquors or operate at high treatment flowrates. [Pg.270]

The solution of the hydrodynamic equations requires modeling the system, writing the equations in the appropriate coordinate system (linear, cylindrical, etc.), specifying the boundary conditions, and usually, solving the problem numerically. In electrochemical problems, only the steady-state velocity profile is of interest therefore (9.2.9) is solved for dwldt = 0. [Pg.334]

Electrochemical systems where the mass transport of chemical species is due to diffusion and electromigration were studied in previous chapters. In the present chapter, we are going to consider the occurrence of the third mechanism of mass transfer in solution convection. Although the modelling of natural convection has experienced some progress in recent years [1], this is usually avoided in electrochemical measurements. On the other hand, convection applied by an external source forced convection) is employed in valuable and popular electrochemical methods in order to enhance the mass transport of species towards the electrode surface. Some of these hydrodynamic methods are based on electrodes that move with respect to the electroljAic solution, as with rotating electrodes [2], whereas in other hydrodynamic systems the electrolytic solution flows over a static electrode, as in waU-jet [3] and channel electrodes [4]. [Pg.161]

In hydrodynamic systems Planar diffusion to a uniformly accessible electrode, e.g. for rotating disk electrodes (hypothetical Nernst model with S = diffusion layer thickness)... [Pg.76]

In a later article [59] the importance of hydrodynamic interactions in the formation of certain microphases was demonstrated by close comparison of simulations using DPD and Brownian dynamics (BD). Whilst both simulation methods describe the same conservative force field, and hence should return the same equilibrium structure, they differ in the evolution algorithms. As mentioned above, DPD correctly models hydrodynamic interactions, whereas these are effectively screened in BD. Distinctly different equilibrium structures were obtained using the two techniques in long simulations of a quenched 2400 A3B7 polymer system, as shown in Fig. 1. Whilst DPD ordered efficiently into the expected state of hexagonal tubes, BD remained trapped in a structure of interconnected tubes. By way of contrast, both DPD and BD reproduced the expected lamellar equilibrium structure of A5B5 on similar time scales, see Fig. 2. [Pg.569]

As shown on Fig. 26.24, the system starts from the rest position of the ship with a sinkage equal to its draft T. A 3D mesh of Unite elements (tetrahedral) is constructed with the ship features (i.e., Lpp, B, T, and Cb) and the fluid domain (i.e., h, channel shape, boundary conditions, etc.). A first run of the model is done with null velocity of the ship. The equilibrium model is then calibrated with the ship weight (VFb) and the position of the center of gravity (Aq, Tg), as all hull nodes must have no displacements with the hydrodynamic model results. Once these ship features are set up, the system is ready to start. A small ship velocity AV is imposed in the hydrodynamic model, which gives hull pressure to the equilibrium model. The latter displaces the hull, so the mesh has to be updated by the third model. The system checks the hull displacement. If it is negligible, the ship velocity is increased by AV or the same velocity is retained and a new cycle is begun. The system stops when the velocity has reached the velocity specified by the user or if the ship has grounded. [Pg.758]

Models of Systems with Regular Hydrodynamic Dissipative Structures... [Pg.64]

Boundary conditions specified to complete the modeling equation system are Hydrodynamics ... [Pg.282]

There are three independent hydrodynamic systems contained in the model. The term Independent hydrodynamic systems" means that there is no way for fluid to flow from one system to the other (e.g., the gas coolant system and the two liquid metal HRS). Each of the hydrodynamic systems is assigned a reference component, a working fluid, and a name. As stated above, a mixture of He-Xe is used for the primary coolant. A mixture of liquid Sodium and Potassium (NaK) is used as the HRS fluid. Unless otherwise noted, all components are assumed to have a surface roughness of 0.0 triggering a smooth pipe Moody correlation consistent with the gas loop ducts for the GRC Brayton cycle studies (Reference 12-6). [Pg.694]

The solution flow is nomially maintained under laminar conditions and the velocity profile across the chaimel is therefore parabolic with a maximum velocity occurring at the chaimel centre. Thanks to the well defined hydrodynamic flow regime and to the accurately detemiinable dimensions of the cell, the system lends itself well to theoretical modelling. The convective-diffiision equation for mass transport within the rectangular duct may be described by... [Pg.1937]

Reviews of concentration polarization have been reported (14,38,39). Because solute wall concentration may not be experimentally measurable, models relating solute and solvent fluxes to hydrodynamic parameters are needed for system design. The Navier-Stokes diffusion—convection equation has been numerically solved to calculate wall concentration, and thus the water flux and permeate quaUty (40). [Pg.148]

Guichardon etal. (1994) studied the energy dissipation in liquid-solid suspensions and did not observe any effect of the particles on micromixing for solids concentrations up to 5 per cent. Precipitation experiments in research are often carried out at solids concentrations in the range from 0.1 to 5 per cent. Therefore, the stirred tank can then be modelled as a single-phase isothermal system, i.e. only the hydrodynamics of the reactor are simulated. At higher slurry densities, however, the interaction of the solids with the flow must be taken into account. [Pg.49]

These models are designed to reproduce the random movement of flexible polymer chains in a solvent or melt in a more or less realistic way. Simulational results which reproduce in simple cases the so-called Rouse [49] or Zimm [50] dynamics, depending on whether hydrodynamic interactions in the system are neglected or not, appear appropriate for studying diffusion, relaxation, and transport properties in general. In all dynamic models the monomers perform small displacements per unit time while the connectivity of the chains is preserved during the simulation. [Pg.515]

The function / incorporates the screening effect of the surfactant, and is the surfactant density. The exponent x can be derived from the observation that the total interface area at late times should be proportional to p. In two dimensions, this implies R t) oc 1/ps and hence x = /n. The scaling form (20) was found to describe consistently data from Langevin simulations of systems with conserved order parameter (with n = 1/3) [217], systems which evolve according to hydrodynamic equations (with n = 1/2) [218], and also data from molecular dynamics of a microscopic off-lattice model (with n= 1/2) [155]. The data collapse has not been quite as good in Langevin simulations which include thermal noise [218]. [Pg.667]

Langevin simulations of time-dependent Ginzburg-Landau models have also been performed to study other dynamical aspects of amphiphilic systems [223,224]. An attractive alternative approach is that of the Lattice-Boltzmann models, which take proper account of the hydrodynamics of the system. They have been used recently to study quenches from a disordered phase in a lamellar phase [225,226]. [Pg.667]


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See also in sourсe #XX -- [ Pg.140 ]




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