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Dynamic model formulation

Until this point we have limited our thermodynamic description to simple (closed) systems. We now extend our analysis considering an open system. In this case the material control volume framework might not be a convenient choice for the fluid dynamic model formulation because of the computational effort required to localize the control volume surface. The Eulerian control volume description is often a better choice for this purpose. [Pg.41]

Kuo C-F J, Vu H Q, Chou Y-C and Li Y-C (2013a), Quahty and uniformity control of fiber web by roller card system. Part I Dynamic modeling formulation and experimental identification , Text Res J, 83(7), 761-770. [Pg.65]

Obviously, one cannot expect to observe an infinite number of generations on the Farey tree, but Maselko and Swiimey did find that when they were able to adjust their residence time with sufficient precision, they saw the intermediate states predicted by the Farey arithmetic, though after a few cycles the system would drift off to another, higher level state on the tree, presumably because their pump could not maintain the precise flow rate corresponding to the intermediate state. An even more complex and remarkable Farey arithmetic can be formulated for states consisting of sequences of three basic patterns (Maselko and Swinney, 1987). The fact that the mixed-mode oscillations in the BZ system form a Farey sequence places significant constraints on any molecular mechanism or dynamical model formulated to explain this behavior. [Pg.172]

The dynamic model of the manipulator is obtained using the Newton-Euler dynamic modeling formulation. This method is independent of the type of manipulator configuration. When Newton-Euler equations are applied, they yield and equation of motions for the manipulator which can be written as [12] ... [Pg.501]

Models can be used to study human exposure to air pollutants and to identify cost-effective control strategies. In many instances, the primary limitation on the accuracy of model results is not the model formulation, but the accuracy of the available input data (93). Another limitation is the inabiUty of models to account for the alterations in the spatial distribution of emissions that occurs when controls are appHed. The more detailed models are currendy able to describe the dynamics of unreactive pollutants in urban areas. [Pg.387]

Finally, accurate theoretical kinetic and dynamical models are needed for calculating Sn2 rate constants and product energy distributions. The comparisons described here, between experimental measurements and statistical theory predictions for Cl"+CHjBr, show that statistical theories may be incomplete theoretical models for Sn2 nucleophilic substitution. Accurate kinetic and dynamical models for SN2 nucleophilic substitution might be formulated by introducing dynamical attributes into the statistical models or developing models based on only dynamical assumptions. [Pg.154]

Very low liquid flow rates correspond to the case of biofilter operation and higher rates to the case of a trickling filter. The formulation of this problem for the two ketones would best be done with a tanks in series dynamic model. An alternative iterative steady state solution is given in Snape et al. (1995) for the two-component case with recycle. [Pg.557]

Chapter 1 deals with the basic concepts of modelling, and the formulation of mass and energy balance relationships. In combination with other forms of relationship, these are shown to lead to a systematic development for dynamic models. Though the concepts are simple, they can be applied equally well to very complex problems. [Pg.635]

In this chapter different aspects of data processing and reconciliation in a dynamic environment were briefly discussed. Application of the least square formulation in a recursive way was shown to lead to the classical Kalman filter formulation. A simpler situation, assuming quasi-steady-state behavior of the process, allows application of these ideas to practical problems, without the need of a complete dynamic model of the process. [Pg.174]

E. The Brownian-Dynamic model Microscopic Formulation of Onsager Relaxation Theory... [Pg.246]


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Model formulation

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