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Dynamic Results

The four composition control loops each have a 5 min deadtime. They were tuned using a sequential method. Because reboiler heat input affects aU of the controlled variables fairly quickly, the Xb(x/ 2r loop was tuned first with the other three controllers on manual. Relay-feedback testing was used to find the ultimate gain and period. Tyreus-Luyben tuning rules were used. Next, since reflux affects all compositions, the Xixt)IR loop was tuned using the same procedure with the Xb(j) Q loop on automatic. Then the Xs(x loop was tuned with the two loops on automatic. Finally, the ypio(x) loop was tuned with the other three loops on automatic. Table 12.2 gives controller tuning results for aU four loops. [Pg.375]

5 min deadtime in all composition loops. Level eontroUers—proportional only with gain of 2. Flow controllers-A c = 0.5, Ti = 0.3min. [Pg.376]

These simulation results demonstrate that the proposed control structure provides effective control for a variety of quite large disturbances. Energy consumption is also implicitly held very close to its minimum for large disturbances in feed composition. [Pg.380]

4 CONTROL OF THE CONVENTIONAL COLUMN PROCESS 12.4.1 Control Structure [Pg.380]

In the first column, the toluene impurity in the distillate benzene product is controlled by manipulating reflux, and the benzene impurity in the bottoms is controlled by manipulating reboiler heat input. Any benzene that drops out of the bottom of the first column ends up as an impurity in the distillate of the second column, and nothing can be done in the second column to affect this situation. The distillate specification is 1 mol% toluene. The bottoms specification is 0.3 mol% benzene, which gives a distillate impurity in the second column of 0.6 mol% benzene. [Pg.380]


Sun X, Wang H B and Miller W H 1998 Semiclassical theory of electronically nonadiabatic dynamics Results of a linearized approximation to the initial value representation J. Chem. Phys. 109 7064... [Pg.2330]

Schreiber, H., Steinhauser, O. Cutoff size does strongly influence molecular dynamics results on solvated polypeptides. Biochem. 31 (1992) 5856-5860. [Pg.31]

Sin ce the Molecu lar Dynamics Results window con lain ing plots is a true window, an image of it alone can be captured into the clipboard or a file using Top-level in the File/Preferences/Setiip Image dialog box. Th is captured image, in addition to shtnving the molecular dynamics plots, shows the Restart and Done buttons, etc. If you on ly want the plots, you can erase the details of the box with a paint program, such as Microsoft Windows Pain thru sh which comes with Microsoft Windows. [Pg.324]

Ecample You can monitor improper torsion angles to determine which side of a substrate molecule faces the active site of a protein. Select three atoms on the substrate molecule and a fourth in the active site. These atoms define an improper torsion angle. Save this selection as a named selection. Then observe a plot of this improper torsion angle (in the Molecular Dynamics Results dialog... [Pg.87]

FIQ. 3 Diffusion coefficient of benzene molecules in benzene-polystyrene mixtures normalized by the diffusion coefficient of neat benzene molecular dynamics results, NMR measurements and prediction by the Mackie-Meares model [26]. [Pg.491]

Gas Dynamics Resulting from a Prescribed Energy Addition... [Pg.104]

Fishbum et al. (1981) used the HEMP-code of Giroux (1971) to simulate gas dynamics resulting from a large cylindrical detonation in a large, flat, fuel-air cloud containing 5000 kg of kerosene. Blast effects were compared with those produced by a 100,000-kg TNT charge detonated on the ground. [Pg.108]

Flames submitted to convective disturbances experience geometrical variations, which can in turn give rise to heat release unsteadiness. This process can be examined by considering different types of interactions between incident velocity or equivalence ratio modulations and combustion. The flame dynamics resulting from these interactions give rise to sound radiation and... [Pg.78]

We present an overview of our research program on HF-HF collisions, including potential energy surfaces and dynamics calculations, with special emphasis on the sensitivity of the dynamics results to the choice of surface. [Pg.176]

The AD and REST potentials are defined in terms of Equation (3) and have finite M values of 9 and 23, respectively. The BM and M potentials must be re-expressed as in (3) — by using Equation (11) — and in these cases we converged the dynamics results with respect to increasing M, yielding the (unexpectedly large) values of 525 and 825, respectively. The calculations must also be converged with respect to increasing the number of channels N. We did this, and the final calculations involve N = 285 for the AD potential and N = 440 for the other potentials. [Pg.192]

To compare molecular theoretical and molecular dynamics results, we have chosen the same wall-particle potential but have used the 6 - oo fluid particle potential. Equation 14, Instead of the truncated 6-12 LJ potential. This Is done because the molecular theory Is developed In terms of attractive particles with hard sphere cores. The parameter fi n Equation 8 Is chosen so that the density of the bulk fluid In equilibrium with the pore fluid Is the same, n a = 0.5925, as that In the MD simulations. [Pg.270]

Molecular dynamics results for restricted pore average density versus pore width. [Pg.273]

The first reaction filmed by X-rays was the recombination of photodisso-ciated iodine in a CCI4 solution [18, 19, 49]. As this reaction is considered a prototype chemical reaction, a considerable effort was made to study it. Experimental techniques such as linear [50-52] and nonlinear [53-55] spectroscopy were used, as well as theoretical methods such as quantum chemistry [56] and molecular dynamics simulation [57]. A fair understanding of the dissociation and recombination dynamics resulted. However, a fascinating challenge remained to film atomic motions during the reaction. This was done in the following way. [Pg.274]

Fig. 5.3. Log-log plot of the self-diffusion constant D of polymer melts vs. chain length N. D is normalized by the diffusion constant of the Rouse limit, DRoUse> which is reached for short chain lengths. N is normalized by Ne, which is estimated from the kink in the log-log plot of the mean-square displacement of inner monomers vs. time [gi (t) vs. t]. Molecular dynamics results [177] and experimental data on PE [178] are compared with the MC results [40] for the athermal bond fluctuation model. From [40]... Fig. 5.3. Log-log plot of the self-diffusion constant D of polymer melts vs. chain length N. D is normalized by the diffusion constant of the Rouse limit, DRoUse> which is reached for short chain lengths. N is normalized by Ne, which is estimated from the kink in the log-log plot of the mean-square displacement of inner monomers vs. time [gi (t) vs. t]. Molecular dynamics results [177] and experimental data on PE [178] are compared with the MC results [40] for the athermal bond fluctuation model. From [40]...
Diffusion constants are enhanced with the approximate inclusion of quantum effects. Changes in the ratio of diffusion constants for water and D2O with decreasing temperature are accurately reproduced with the QFF1 model. This ratio computed with the QFF1 model agrees well with the centroid molecular dynamics result at room temperature. Fully quantum path integral dynamical simulations of diffusion in liquid water are not presently possible. [Pg.413]

If we want to study the implications of various features of potential energy surface to dynamical results we have to carry out the dynamics. From a practical point of view, we can use classical mechanics. One numerically solves Hamilton s equations... [Pg.234]

Observation of reorientational dynamics of dipolar groups surrounding the fluorophore in response to changes in the dipole moment of the fluorophore occurring upon electronic excitation. Such dynamics result in the appearance of spectral shifts with time,(1 ) in changes of fluorescence lifetime across the fluorescence spectrum,(7,32) and in a decrease in the observable effects of selective red-edge excitation.(1,24 33 34) The studies of these processes yield a very important parameter which characterizes dynamics in proteins— the reorientational dipolar relaxation time, xR. [Pg.73]

Molecular dynamics (MD) simulations show that the conformations of sorbitol and mannitol depend on the typ e of solvent. The predicted conformations agreed well with experiment, supporting the view that MD has a good predictive value for solutions of carbohydrates. Preliminary dynamics results for methoxy-tetrahydropyran (MTHP) show that the methoxy group moves more in water than in vacuum. [Pg.152]

Fig. 21. Gas temperature dynamics resulting from a step change of T0 from 573 to 593 K and of x o fr°m 0.06 to 0.07, type II conditions. Fig. 21. Gas temperature dynamics resulting from a step change of T0 from 573 to 593 K and of x o fr°m 0.06 to 0.07, type II conditions.
Time-resolved fluorescence of coumarin C522 was determined in water and in host-guest complex with p-cyclodextrin, representing free aqueous and cavity restricted environments, respectively. Experimental fluorescence clearly showed faster dynamics in a case of water. The time parameters of monoexponential fit for water and p-cyclodextrin at 500 nm and 520 nm were determined to be 1.37 ps and 2.02 ps, and 2.97 ps and 7.14 ps, respectively. Multi-mode Brownian oscillator model, as an attempt to simulate the solvation dynamics, supported these fluorescence dynamics results. [Pg.240]

The dynamics results are insufficient to resolve this question. For [Co(terpy)2]2+ the spin state relaxation appears to occur in only a few tenths of a nanosecond, consistent with the prediction that it could be an order of magnitude faster than that of iron(III). On the other hand, some relaxation process in another [Schiff base cobalt(II)] complex occurs with a slower relaxation time of 83 nsec. Until more data are acquired, this question must remain unresolved. It is a reasonable surmise, however, that these reactions are adiabatic. [Pg.42]


See other pages where Dynamic Results is mentioned: [Pg.745]    [Pg.1058]    [Pg.560]    [Pg.168]    [Pg.324]    [Pg.324]    [Pg.846]    [Pg.581]    [Pg.681]    [Pg.178]    [Pg.10]    [Pg.402]    [Pg.67]    [Pg.117]    [Pg.668]    [Pg.134]    [Pg.303]    [Pg.309]    [Pg.309]    [Pg.238]    [Pg.150]    [Pg.271]    [Pg.257]   


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Averages, molecular dynamics results

Charge-transfer dynamics, nonadiabatic results

Comparison of Dynamic Mechanical and Dielectric Results

Dynamic Mechanical and Dielectric Results

Dynamic Simulation Results

Dynamic mechanical thermal analysis results

Dynamics results file

Fluid dynamics experimental results

General dynamic equation experimental results

Importing Dynamic Results into Matlab

Intramolecular dynamics experimental results

Mechanical-dynamical results

Molecular dynamics numerical results

Molecular dynamics results analysis

NSE Results on Chain Specific Effects Limiting the Rouse Dynamics

Noisy force, polyelectrolyte dynamics, polymer results

Resultant Dynamics

Resultant Dynamics

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