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Computer simulation for

This technique for finding a weighted average is used for ideal gas properties and quantum mechanical systems with quantized energy levels. It is not a convenient way to design computer simulations for real gas or condensed-phase... [Pg.13]

Problem Stripper computer simulation for a base case did not match test data. Proper simulation was needed for revamp design checking. [Pg.308]

The most popular approach to solve these problems is to use experience and good engineering judgment. A quick experiment may be another solution. A computer simulation is a third option. All those approaches may eventually lead to success. This chapter presents various methods of computer simulation for industrial ventilation design. [Pg.1026]

To solve the replica OZ equations, they must be completed by closure relations. Several closures have been tested against computer simulations for various models of fluids adsorbed in disordered porous media. In particular, common Percus-Yevick (PY) and hypernetted chain approximations have been applied [20]. Eq. (21) for the matrix correlations can be solved using any approximation. However, it has been shown by Given and Stell [17-19] that the PY closure for the fluid-fluid correlations simplifies the ROZ equation, the blocking effects of the matrix structure are neglected in this... [Pg.302]

FIG. 2 Growth rates as a function of the driving force A//. Comparison of theory and computer simulation for different values of the diffusion length and at temperatures above and below the roughening temperature. The spinodal value corresponds to the metastability limit A//, of the mean-field theory [49]. The Wilson-Frenkel rate WF is the upper limit of the growth rate. [Pg.871]

O. Yanagisawa, A. Almansour, K. Matsugi, T. Hatayama. Computer simulation for sohdified microstructure prediction of spheroidal graphite cast iron of the Fe-C-Si system. J Jpn Inst Met 50 1101, 1996. [Pg.932]

However, the assumption of molecule orientation normal to the surface is not convincing enough for this author, and it does not consist well with the results of the molecular d5mamics simulations for the alkane confined between solid walls. An example in Fig. 3 shows that the chain molecules near the wall are found mostly lying parallel, instead of normal, to the wall [6]. This means that the attractions between lubricant molecules and solid wall may readily exceed the inter-molecule forces that are supposed to hold the molecules in the normal direction. Results in Fig. 3 were obtained from simulations for liquid alkane with nonpolar molecules, but similar phenomenon was observed in computer simulations for the functional lubricant PFPE (per-fluoropolyether) adsorbed on a solid substrate [7], confirming that molecules near a solid wall lie parallel to the surface. [Pg.80]

FIGURE 26.79 Theoretical triple distribution as they are used in a computer simulation for speed and load distributions (height ratios town 0.7, country 0.2, and motorway 0.1). [Pg.751]

The use of computer simulations to study internal motions and thermodynamic properties is receiving increased attention. One important use of the method is to provide a more fundamental understanding of the molecular information contained in various kinds of experiments on these complex systems. In the first part of this paper we review recent work in our laboratory concerned with the use of computer simulations for the interpretation of experimental probes of molecular structure and dynamics of proteins and nucleic acids. The interplay between computer simulations and three experimental techniques is emphasized (1) nuclear magnetic resonance relaxation spectroscopy, (2) refinement of macro-molecular x-ray structures, and (3) vibrational spectroscopy. The treatment of solvent effects in biopolymer simulations is a difficult problem. It is not possible to study systematically the effect of solvent conditions, e.g. added salt concentration, on biopolymer properties by means of simulations alone. In the last part of the paper we review a more analytical approach we have developed to study polyelectrolyte properties of solvated biopolymers. The results are compared with computer simulations. [Pg.82]

This suggests that the primary function of the small-volume electric heater in the EHC system is to transfer the supplied electrical energy downstream for rapid lightoff of the main converter rather than to provide additional catalytic conversion. In fact, consistent with this argument, computer simulations for the EHC system with a 0.4-cm-long heater predicted very similar tailpipe HC emissions regardless of whether or not the electric heater is catalyzed (see Fig. 4). [Pg.20]

Figure 2. MSssbauer Spectrum and Corresponding Computer Simulation for Sample 2 Under Water-Gas Shift Reaction Conditions at 613 K. A) situ MSssbauer spectrum of sample 2 at 613 K B) Computer-simulated spectrum C) Distribution of particle radii D) Relative volume fractions as a function of radius (A). For the computer simulation, the following pareimeters were used 0-1.25, mean radius = 65A, k-8 x 10 ergs/cm3. The Klebsch-Gordon coefficients used were 3 3 1. Figure 2. MSssbauer Spectrum and Corresponding Computer Simulation for Sample 2 Under Water-Gas Shift Reaction Conditions at 613 K. A) situ MSssbauer spectrum of sample 2 at 613 K B) Computer-simulated spectrum C) Distribution of particle radii D) Relative volume fractions as a function of radius (A). For the computer simulation, the following pareimeters were used 0-1.25, mean radius = 65A, k-8 x 10 ergs/cm3. The Klebsch-Gordon coefficients used were 3 3 1.
The lack of an exact mathematical model to describe temperature programmed separations makes computer simulation for... [Pg.551]

The wall-PRISM theory has also been implemented for binary polymer blends. For blends of stiff and flexible chains the theory predicts that the stiffer chains are found preferentially in the immediate vicinity of the surface [60]. This prediction is in agreement with computer simulations for the same system [59,60]. For blends of linear and star polymers [101] the theory predicts that the linear polymers are in excess in the immediate vicinity of the surface, but the star polymers are in excess at other distances. Therefore, if one looks at the integral of the difference between the density profiles of the two components, the star polymers segregate to the surface in an integrated sense, from purely entropic effects. [Pg.115]

Figure 16. Comparison of the wall-PRISM theory to computer simulations for the density profiles of fused-hard-sphere chains at a hard wall for N = 16. Figure 16. Comparison of the wall-PRISM theory to computer simulations for the density profiles of fused-hard-sphere chains at a hard wall for N = 16.
Fig. 6. Computer simulation for hydrogen TDS from chemisorbed ethylene on Pt(lll) (a) First order process only, with activation energy - 15.0 Kcal/mole (dashed line) (b) same as (a) but including a hydrogen recombination step (solid line) (c) experimental data (crosses). See details in text. Fig. 6. Computer simulation for hydrogen TDS from chemisorbed ethylene on Pt(lll) (a) First order process only, with activation energy - 15.0 Kcal/mole (dashed line) (b) same as (a) but including a hydrogen recombination step (solid line) (c) experimental data (crosses). See details in text.
COMPUTER SIMULATION FOR CHEMICAL SYSTEMS FROM VACUUM TO SOLUTION... [Pg.179]


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See also in sourсe #XX -- [ Pg.2 ]




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