Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Direct current numerical simulation

As a specific example to study the characteristics of the controller, the problem involving four modes of longitudinal oscillations is considered herein. The natural radian frequency of the fundamental mode, normalized with respect to 7ra/L, is taken to be unity. The nominal linear parameters Dni and Eni in Eq. (22.12) are taken from [1], representing a typical situation encountered in several practical combustion chambers. An integrated research project comprising laser-based experimental diagnostics and comprehensive numerical simulation is currently conducted to provide direct insight into the combustion dynamics in a laboratory dump combustor [27]. Included as part of the results are the system and actuator parameters under feedback actions, which can... [Pg.366]

One of the advantages of CFD approaches is that data can be provided at any point within the computational domain, providing a level of detail that cannot currently be approached by sensor networks this of course carries the caveat that CFD models include a number of assumptions in both the physics and the boundary conditions, all of which affect the accuracy of the predicted wind fields. A third CFD approach. Direct Numerical Simulation (DNS), in which the Navier-Stokes equations are solved directly, is presently not feasible due to the excessive computational requirements. At present, all CFD models are too slow for use in emergency operations they are best suited to detailed postevent studies or preparatory studies to understand the character of the local wind field in complex or urban terrain. [Pg.54]

The high resolution lattice Boltzmann scheme, for example, is currently popular in the CFD research community performing LES and direct numerical simulations due to the simple implementation and high accuracy obtained, but this method is still under development and yet not suitable for multiphase reactive flows. The numerical scheme is constructed from and solves a kinetic theory representation of the actual flow. A good review can be found in Chen and Doolen [27]. [Pg.988]

Steady-state numerical simulations of fluid flow and cupric ion transport within an electrochemical fountain plating system are presented. Specifically, the diffusion-limit is determined directly from the computed flux of cupric ions to the wafer under the assumption of complete surface consumption. This maximum flux, in turn, determines the maximum ionic current that can be passed through the electrolyte to the wafer, which is called the limiting current. The goal of the present study is to predict variations in the limiting current density for different electrolyte volumetric flow rates and wafer (cathode) rotation rates. The efficacy of different computational models, including one-dimensional, two-dimensional axisymmetric, and three-dimensional approximations, are assessed via comparisons of numerical predictions with experimental data. [Pg.71]

Current investigations are directed toward full-field measurement techniques and direct numerical simulation (DNS). The numerical approaches are limited by the need for much bigger and better computers. Previously, visual observations were used for qualitative assessment. Hot-wire/film and LDA measurements were used to provide the hard numbers for a few points in space in the time domain. Today, the visual-based techniques are being extended to allow full-field, time-resolved velocity vector information to be obtained. However, the need for full-field and time-resolved measurements put vast restrictions on what can be accomplished. To get time-resolved results, often today, we must sacrifice resolution. To get resolution, we must sacrifice the dynamics. Ultimately we want both. [Pg.320]

Direct numerical simulation (DNS) is a powerful tool to investigate the velocity distribution and density fluctuation of multiphase flow systems, thus facilitates revealing the mechanisms of nonequilibrium behavior. Due to its high demand in computing resources, current DNS is largely hmited to simulations over static arrays of particles or smaU-sized, periodic flow domains, which are expected to be close to local equilibrium states. Thus, the nonequilibrium characteristics of multiphase flow are hard to be fuUy revealed. Recent release of hybrid computing hardware boosts the rapid development of DNS with respect to the scales of time and space... [Pg.269]

Numerical simulation was conducted based on the proposed model and the obtained parameters. The beam-shaped gel was discretized every 6l= [mm] along the longitudinal direction for numerical integration. We applied the same current density to the gel for 400[s]. The time step for numerical integration was St=l [s]. The waving motion of the tip was observed and plotted in Fig. 7.20. The speed was faster than the experimental results. The times of extremum were ti=43 [s], <2 = 133[s], tz = 271[s]. The angles of the tip were < )i=2.13[rad], < )2=1-31 [rad], 3=1.68[rad], respectively. The shapes of the gel, which were obtained numerically, are shown in Fig. 7.21. Therefore, the numerical simulations qualitatively confirm the wave-shape pattern formation observed in the experiments. [Pg.151]

In order to identify EPHs of the cell or electrode reactions from the experimental information, there had been two principal approaches of treatments. One was based on the heat balance under the steady state or quasi-stationary conditions [6,11, 31]. This treatment considered all heat effects including the characteristic Peltier heat and the heat dissipation due to polarization or irreversibility of electrode processes such as the so-call heats of transfer of ions and electron, the Joule heat, the heat conductivity and the convection. Another was to apply the irreversible thermodynamics and the Onsager s reciprocal relations [8, 32, 33], on which the heat flux due to temperature gradient, the component fluxes due to concentration gradient and the electric current density due to potential gradient and some active components transfer are simply assumed to be directly proportional to these driving forces. Of course, there also were other methods, for instance, the numerical simulation with a finite element program for the complex heat and mass flow at the heated electrode was also used [34]. [Pg.28]

Abstract. In this study we examined the numerical methods of solving the direct problem of electrical sormding with direct current for a layered model with complex relief contact boundaries. The solution was obtained by the method of integral equations. The system of integral equations for the solution of the direct problem of electrical soimding with direct current for a layered relief medium was estabhshed. Numerical simulation of the field for two-layered medium with various shapes of relief contact boundaries was conducted. We obtained the density of distribution of secondary sources on contact bormdaries. [Pg.117]

In theory, D, c, or n can be calculated from the peak current (Ip) of a dc linear-sweep or cyclic voltammogram by employing the relationships described by the Randles-Sevcik equation for a reversible electron-transfer process of the kind Ox+ne" Red, when the effect of is negligible [6]. When woiking in a viscous RTIL, however, very few of the electrochemical systems of interest fulfill these criteria, which severely limits the direct application of dc voltammetry for this purpose. Assuming the Randles-Sevcik equation is not applicable, a best-fit approach with numerical simulation may be a viable alternative, although even this method has its limitations, as mechanistic complexities or other uncertainties can make the modeling process difficult [10]. [Pg.144]


See other pages where Direct current numerical simulation is mentioned: [Pg.154]    [Pg.287]    [Pg.292]    [Pg.91]    [Pg.474]    [Pg.193]    [Pg.92]    [Pg.276]    [Pg.121]    [Pg.552]    [Pg.109]    [Pg.2]    [Pg.178]    [Pg.241]    [Pg.261]    [Pg.241]    [Pg.261]    [Pg.208]    [Pg.179]    [Pg.185]    [Pg.165]    [Pg.493]    [Pg.363]    [Pg.71]    [Pg.474]    [Pg.55]    [Pg.585]    [Pg.300]    [Pg.115]    [Pg.898]    [Pg.447]    [Pg.392]    [Pg.49]    [Pg.184]    [Pg.215]    [Pg.312]    [Pg.148]    [Pg.153]   
See also in sourсe #XX -- [ Pg.332 ]




SEARCH



Current directions

Direct numerical simulation

© 2024 chempedia.info