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Simulation with isothermal

The tube simulation can be ran under either isothermal conditions (by excluding Equation (6.24) from the numerical integration and using a pre-defined field of temperatures) or adiabatic conditions (in this case, Equation (6.24) is used to evaluate the temperature profile). In the isothermal case, it is possible to simulate the electrochemical performance (in terms of I-V curves) at different imposed operational temperatures the option of running the simulation with isothermal sohd temperature distribution is often apphed, since this is the condition under which some experimental data are obtained at RRFCS (see Figure 6.11). All the other results reported in this section have been obtained under adiabatic conditions (i.e. perfect insulation of the vessel where the tube is contained), since this is a realistic practical operating condition for the tube when included into the plant. [Pg.196]

Equilibrium Compositions for Single Reactions. We turn now to the problem of calculating the equilibrium composition for a single, homogeneous reaction. The most direct way of estimating equilibrium compositions is by simulating the reaction. Set the desired initial conditions and simulate an isothermal, constant-pressure, batch reaction. If the simulation is accurate, a real reaction could follow the same trajectory of composition versus time to approach equilibrium, but an accurate simulation is unnecessary. The solution can use the method of false transients. The rate equation must have a functional form consistent with the functional form of K,i,ermo> e.g., Equation (7.38). The time scale is unimportant and even the functional forms for the forward and reverse reactions have some latitude, as will be illustrated in the following example. [Pg.240]

The important issue of size effects was addressed by Karaborni and Siepmann [368]. They used the same chain model and other details employed in the Karaborni et al. simulations described earlier [362-365] and the 20-carbon chain. System sizes of 16, 64, and 256 molecules were employed with areas of 0.23, 0.25 and 0.27 nm molecule simulations with 64 molecules were also performed for areas ranging from 0.185 to 0.40 nm molecule . The temperature used was 275 K, as opposed to 300 K used in the previously discussed work by Karaborni et al. with the 20-carbon chain. At the smaller areas no significant system size dependence was found. However, the simulation at 0.27 nm molecule showed substantial differences between N = 64 and N = 256 in ordering and tilt angle. The 64-molecule system showed more order than the 256-molecule system and a slightly lower tilt angle. The pressure-area isotherm data for these simulations are not... [Pg.124]

The exemplary peak profiles, simulated with use of Equation 2.20 for the linear, Langmuir, and the anti-Langmuir isotherms of adsorption are presented in Figure 2.21. [Pg.34]

FIG. 4 ir—A isotherms measured for DSPC at water-1,2-DCE (O) and water-air ( ) interfaces from Ref. 41 and simulated with a real gas model [40] ideal gas with A = 0 and Ug = 0 (thin solid line), hard disks gas with A = 40 and ug = 0 (thick solid line), vdW gas with = 40 and Ug/kT = 3 (thin dashed line), and vdW gas with = 40 A and UgjkT = 7 (thick dashed line). The inset shows part of the thick dashed line. (Reproduced from Ref 40 with permission from Elsevier Science.)... [Pg.541]

As with isothermal reactor design, the optimization of superstructures for nonisothermal reactors can be carried out reliably, using simulated annealing. [Pg.136]

Trapaga and Szekely 515 conducted a mathematical modeling study of the isothermal impingement of liquid droplets in spray processes using a commercial CFD code called FLOW-3D. Their model is similar to that of Harlow and Shannon 397 except that viscosity and surface tension were included and wetting was simulated with a contact angle of 10°. In a subsequent study, 371 heat transfer and solidification phenomena were also addressed. These studies provided detailed... [Pg.385]

Fig. 11. Evaluation of kinetic parameters for the DOC model—CO and HC oxidation. Comparison of experimentally observed and simulated outlet concentrations in the course of the oxidation light-off for simple mixtures (a) CO, reaction Rl (b) Ci0H22, reactions R4 and R7 (cf. Table II). Lab experiments with isothermal monolith sample using synthetic gas mixtures (14% 02, 6% C02, 6% H20, N2 balance). Rate of temperature increase /min, SV = 30,000 h 1 (Kryl et al., 2005). Reprinted with permission from Ind. Eng. Chem. Res. 44, 9524, 2005 American Chemical Society. Fig. 11. Evaluation of kinetic parameters for the DOC model—CO and HC oxidation. Comparison of experimentally observed and simulated outlet concentrations in the course of the oxidation light-off for simple mixtures (a) CO, reaction Rl (b) Ci0H22, reactions R4 and R7 (cf. Table II). Lab experiments with isothermal monolith sample using synthetic gas mixtures (14% 02, 6% C02, 6% H20, N2 balance). Rate of temperature increase /min, SV = 30,000 h 1 (Kryl et al., 2005). Reprinted with permission from Ind. Eng. Chem. Res. 44, 9524, 2005 American Chemical Society.
Fig. 13. Evaluation of kinetic parameters for the DOC model—NO oxidation (reaction R5 in Table II). Comparison of measured and simulated outlet NOx concentrations in the course of temperature ramp (2K/min) for two different space velocities (SV= 50,000 and 100,000 h-1). Lab experiment with isothermal monolith sample using synthetic gas mixture (100 ppm CO, 100 ppm C3H6, 500ppm NO, 8% 02, 8% C02, 8% H20, N2 balance). Fig. 13. Evaluation of kinetic parameters for the DOC model—NO oxidation (reaction R5 in Table II). Comparison of measured and simulated outlet NOx concentrations in the course of temperature ramp (2K/min) for two different space velocities (SV= 50,000 and 100,000 h-1). Lab experiment with isothermal monolith sample using synthetic gas mixture (100 ppm CO, 100 ppm C3H6, 500ppm NO, 8% 02, 8% C02, 8% H20, N2 balance).
The majority of simulations deal with isothermal flows, though the computational format of this computational group is shown in Fig. 10.73. [Pg.593]

Overall Flow-Pattern Simulation (a) Develop a computer model to simulate, with the FAN3 method, the filling of a shallow mold, assuming constant gate pressure, isothermal flow, and incompressible Newtonian fluid, (b) Simulate the filling of the mold in Fig. 13.8, Case 1, identify the shape of the advancing front at various times, and the location and shape of the weld lines. [Pg.823]

Bulk moduli and pressure derivatives. Results for the bulk modulus and its pressure derivative for all three HMX polymorphs obtained from fitting simulation-predicted isotherms to the equations of state discussed above are summarized in Table 7. For all data sets, we include fits to the Us-Up form (Eq. 18) and both weighting schemes for the third-order Birch-Mumaghan equation of state (Eqs. 20 and 21). In the case of the experimental data for /THMX, values for the moduli based on Eqs. 18 and 20 were taken from the re-analysis of Menikoff and Sewell. Two sets of results are included in the case of Yoo and Cynn, since they reported on the basis of shifts in the Raman spectra a phase transition with zero volume change at 12 GPa. Simulation data of the /T HMX isotherm due to Sorescu et al. were extracted by hand from Fig. 3b of their work. [Pg.310]

Fig. 20. Yield curves vs. isothermal temperature measured for oxychloride compounds of the nuclides 108Tc (A), 169Re ( ), 218Po ( ), and 218Bi ( ) in the chemical system He(g)/02(g)/HCl(g)/Si02(S). The dotted lines indicate the results of simulations with the microscopic model of Zvara [47] with the adsorption enthalpies indicated. Figure reproduced from [54] with the permission of Oldenbourg Verlag. Fig. 20. Yield curves vs. isothermal temperature measured for oxychloride compounds of the nuclides 108Tc (A), 169Re ( ), 218Po ( ), and 218Bi ( ) in the chemical system He(g)/02(g)/HCl(g)/Si02(S). The dotted lines indicate the results of simulations with the microscopic model of Zvara [47] with the adsorption enthalpies indicated. Figure reproduced from [54] with the permission of Oldenbourg Verlag.
Fig. 22. Relative yields of the compounds l08TcO3Cl (O), 169Re03Cl ( ), and (most likely) 267Bh03Cl ( ) as a function of isothermal temperature. The error bars indicate a 68% confidence interval. The solid lines indicate the results of simulations with the microscopic model of I. Zvara [18] with the adsorption enthalpies given in the text. The dashed lines represent the calculated relative yield concerning the 68% confidence interval of the standard adsorption enthalpy of Bh03Cl from -66 to -81 kJ/mol. Figure reproduced from [55],... Fig. 22. Relative yields of the compounds l08TcO3Cl (O), 169Re03Cl ( ), and (most likely) 267Bh03Cl ( ) as a function of isothermal temperature. The error bars indicate a 68% confidence interval. The solid lines indicate the results of simulations with the microscopic model of I. Zvara [18] with the adsorption enthalpies given in the text. The dashed lines represent the calculated relative yield concerning the 68% confidence interval of the standard adsorption enthalpy of Bh03Cl from -66 to -81 kJ/mol. Figure reproduced from [55],...
It is of interest to compare the values of pore diameter obtained by molecular simulation and by the use of the corrected Kelvin equation. By comparing the nitrogen isotherm in Figure 12.6 with molecular simulation model isotherms, Maddox et al. (1997) have arrived at pore diameters of 4.1-4.3 nm. As indicated in Table 12.4, the corrected Kelvin diameters are 3.3-4.3 nm. The corresponding surface areas are 631 and 655 m2 g 1. In view of the assumptions in the model and the shortcomings of the Kelvin and BET equations, this level of agreement must be considered to be encouraging. [Pg.424]

Sucessful simulations have been performed with computerized fluid dynamics programs (CFD), based on the fundamental Navier-Stokes equations, with appropriate volume element grids and/or a finite elemet approach, and in some cases were backed up by isothermal physical modeling (hydraulic modeling) experiments [455]. Examples for the CFD software used are FLUENT (Fluent Inc.) [450] and CFDS-FLOW3D [458] and others, usually modified by the contractor or licensor [448] to adapt them to the conditions in a secondary reformer. Discussion of simulation with CFD can be found in [444], [448], [449]. [Pg.91]

In this study, N2 adsorption in the internal pore of single SWNH particle and on external pores of bundled SWNH particles is simulated with grand canonical Monte Carlo (GCMC) method and the simulated isotherms are compared with the experimental results. [Pg.522]

Tabulated data for experimental adsorption isotherms are fitted with analytical equations for the calculation of thermodynamic properties by integration or differentiation. These thermodynaunic properties expressed as a function of temperature, pressure, and composition are input to process simulators of atdsorption columns. In addition, anaJytical equations for isotherms are useful for interpolation and cautious extrapolation. Obviously, it is desirable that the Isotherm equations agree with experiment within the estimated experimental error. The same points apply to theoretical isotherms obtained by molecular simulation, with the requirement that the analytical equations should fit the isotherms within the estimated statistical error of the molecular simulation. [Pg.44]

Fig.7Comparison with experiment and molecular simulation. Adsorption isotherm... [Pg.604]

The MD simulations on isothermal crystallization processes of a-Si are introduced. To obtain a realistic a-Si structure, the /-Si prepared at 3500 K is rapidly quenched to 500 K at a cooling rate of 10 K/s. During the cooling process the structural change is observed by the Voronoi polyhedron analysis. It is shown that the unit cell of the amorphous structure becomes similar to that of crystalline structure with decrease of temperature, although its phase is still amorphous. [Pg.377]

The crystallization of the three cases was simulated with the same FEM-TTT model, using the isothermal data presented in the dynamic-static ITT diagram of Figure 4. Hgure 10 shows the experimental and simulated onset and finish times of crystallization. The model provides a good estimation of the oystallization kinetics. [Pg.107]

Methods for simulation of the liquid-vapour coexistence are well developed and were reviewed by Panagiotopoulos263 however in some cases these have been shown to be sensitive to the potential energy surface and factors such as many-body interactions, and therefore new results continue to be obtained to investigate these issues and to study new systems (see for example,110 for mercury,264 for methane, and265 for water). The Gibbs ensemble approaches and grand canonical and isothermal-isobaric MC simulations with histogram... [Pg.355]

If the PP method is used in a multi-component case it should also be noted that the determined isotherm parameters could not be assigned to specific components without additional information, e.g., by comparing computer simulations with an experimental chromatogram where the peaks can be identified. [Pg.69]

Figure 11.29 Comparison between calculated and experimental band profiles of the racemic mixture of Troger s base on a Chi-ralpak AD coliunn. Sample sizes 3.6, 7.25, 10.85 and 14.5 mg. Solid line - experimental data, dotted line - simulation with three-layer isotherm model, and dashed line -simulation with cooperative and S-shaped isotherm model Reprinted from K. Mihlbach-ler, K. Kaczmarski, A. Seidel-Morgenstem. G. Guiochon, J. Chromatogr. A, 955 (2002) 35 (Fig. 11). Figure 11.29 Comparison between calculated and experimental band profiles of the racemic mixture of Troger s base on a Chi-ralpak AD coliunn. Sample sizes 3.6, 7.25, 10.85 and 14.5 mg. Solid line - experimental data, dotted line - simulation with three-layer isotherm model, and dashed line -simulation with cooperative and S-shaped isotherm model Reprinted from K. Mihlbach-ler, K. Kaczmarski, A. Seidel-Morgenstem. G. Guiochon, J. Chromatogr. A, 955 (2002) 35 (Fig. 11).
As shown in Figure 5.23, the concentration profile of the precursor gas is related to the value of Dah The concentration gradient of the precursor gas becomes steeper with increasing Dah Due to complex coupling effects between the pressure and temperature of F-CVI it is very difficult to model this phenomenon. A large body of research work has been undertaken under isothermal conditions to simplify the simulation. Under isothermal conditions the concentration profile represents the deposition gradient. In such a case densification always occurs more rapidly at the precursor gas entrance region of the preform. [Pg.185]


See other pages where Simulation with isothermal is mentioned: [Pg.286]    [Pg.252]    [Pg.790]    [Pg.302]    [Pg.286]    [Pg.218]    [Pg.525]    [Pg.1]    [Pg.41]    [Pg.595]    [Pg.640]    [Pg.62]    [Pg.31]    [Pg.429]    [Pg.2]    [Pg.129]    [Pg.264]    [Pg.577]   


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Fitting of simulated isotherms with dual-site Langmuir model

Isotherm simulations

Isothermal simulations

Simulated isotherm

Simulation with isothermal conditions

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