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Time grid

The simulation of a continuous, evaporative, crystallizer is described. Four methods to solve the nonlinear partial differential equation which describes the population dynamics, are compared with respect to their applicability, accuracy, efficiency and robustness. The method of lines transforms the partial differential equation into a set of ordinary differential equations. The Lax-Wendroff technique uses a finite difference approximation, to estimate both the derivative with respect to time and size. The remaining two are based on the method of characteristics. It can be concluded that the method of characteristics with a fixed time grid, the Lax-Wendroff technique and the transformation method, give satisfactory results in most of the applications. However, each of the methods has its o%m particular draw-back. The relevance of the major problems encountered are dicussed and it is concluded that the best method to be used depends very much on the application. [Pg.159]

Figure8-1 Space-time grid for the one-dimensional diffusion equation, evidencing the explicit forward-difference, implicit backward-difference and C rank-Nicholson discretization schemes. Figure8-1 Space-time grid for the one-dimensional diffusion equation, evidencing the explicit forward-difference, implicit backward-difference and C rank-Nicholson discretization schemes.
Applying the Crank-Nicholson scheme to equation (8-66), relative to a space-time grid characterized by the points ... [Pg.235]

Just as space can be divided into unequally spaced intervals, so might time also be unevenly divided. As with spatial intervals, there is the choice between discretising on an uneven time grid or using a transformation to a new time scale. Since, except for BDF methods, one usually differentiates with respect to time using only two time points (levels), transformation does not make sense here. [Pg.111]

When all activities have been scheduled they are loaded with the estimated hours and totaled to develop the construction progress and labor loading curves shown in Fig. E.9 Since the schedule time grid is based on weeks the work hours must be converted to work weeks so that each unit is equivalent to one worker. [Pg.373]

Since the time grid is based on weeks, the work hours (WH) in the estimate have been converted to work weeks (WW). [Pg.374]

Constraints (7)-(9) are used to define the continuous-time grid and enforee the appropriate timing constraints without resorting to big-M terms ... [Pg.82]

Finite difference methods (FDM) are directly derived from the space time grid. Focusing on the space domain (horizontal lines in Fig. 6.6), the spatial differentials are replaced by discrete difference quotients based on interpolation polynomials. Using the dimensionless formulation of the balance equations (Eq. 6.107), the convection term at a grid point j (Fig. 6.6) can be approximated by assuming, for example, the linear polynomial. [Pg.249]

To approximately locate the global minimum i.e., to obtain a good quality crystal structure solution) in a reasonable amount of time, grid search methods should be replaced by the stochastic ones, based on a random sampling of the parameter space. This technique, called Monte Carlo MC), has been widely used in other scientific fields to simulate the behavior of complex systems. Its application to crystal structure determination from powder diffraction data has been developed by many authors the main strategies are outlined below. [Pg.245]

Simple product operations in the z transform domain apply for calculating the system response and the impulse response analogous to the expressions for convolution (4.2.14) and correlation (4.3.5) in the Fourier domain. The z transform of the result is readily found by expansion into a polynomial in z , and the coefficients determine the result on the equidistant time grid [Bral]. [Pg.139]

Figure 23 shows an evolving wave packet on the coordinate-time grid (q, t). Due to the slight unharmonicity of the potential used, the initially compact wave packet dispersed, which means that for long enough time the wave functions fills uniformly all the available coordinate space. Two methods of propagation are compared. In the left panels... [Pg.223]

Figure 23 The evolution of an unharmonic oscillator on a position-time grid (q, t). The potential is V(q) = q2/2 — 2 q 5. Comparison between the evolution generated by the Chebychev (left) and SOD (right) propagation schemes. The interpolation grid consists of 32 Chebychev points with a time step At = 0.05. The propagation by the SOD scheme required the same numerical effort. The upper panel represents the first two cycles. The middle panels show the evolution after 10 cycles, and the lower panels shows the evolution after 50 cycles. Figure 23 The evolution of an unharmonic oscillator on a position-time grid (q, t). The potential is V(q) = q2/2 — 2 q 5. Comparison between the evolution generated by the Chebychev (left) and SOD (right) propagation schemes. The interpolation grid consists of 32 Chebychev points with a time step At = 0.05. The propagation by the SOD scheme required the same numerical effort. The upper panel represents the first two cycles. The middle panels show the evolution after 10 cycles, and the lower panels shows the evolution after 50 cycles.
However, a complication arises with this approach. An improvement in tf changes the time grid, thereby requiring the estimation of controls and states on the new time grid for the next round of improvements. We avoid this situation by linearly transforming the independent variable t in the variable interval [0, tf] to a new independent variable a in the fixed interval [0,1]. [Pg.188]

Check whether the constraints f = 0 are satisfied throughout the time grid. Given a positive real number 3 close to zero if... [Pg.211]

Positive-ion DE-MALDI-TOF mass sp>ectra of a PEG / PMMA blend recorded adopting different delay times grid voltage % values, (a) 4600 ns and 88% (b) 100 ns and 96% and (c) 2800 ns and 96%. (Reprinted with permission from Ref. 88, Copyright 1999 John Wiley Sons Ltd)... [Pg.508]

Fig. 3.2. Discrete simulation space-time grid showing concentration terms involved in the equation for Cf using the (a) explicit and (b) implicit methods. Grey squares show the term to be solved for and white circles show the terms that appear in the equation. Fig. 3.2. Discrete simulation space-time grid showing concentration terms involved in the equation for Cf using the (a) explicit and (b) implicit methods. Grey squares show the term to be solved for and white circles show the terms that appear in the equation.
Fig. 3.7. Runtime, r, against the size of the space-time grid, m x n, for a series of simulations with varying scan rate, Fig. 3.7. Runtime, r, against the size of the space-time grid, m x n, for a series of simulations with varying scan rate, <r, and fixed values of AX = 10 ", = 0.01 and...
Expanding time grid Chronoamperometry and pulse techniques... [Pg.77]

Following the patching scheme described above for the spatial discretisation, the beginning of each potential pulse can be simulated through a uniform, dense time grid with the interval AT ... [Pg.77]

Equation (5.12) illustrates how the concentration of species B changes with time not only due to mass transport by diffusion but also due to the homogeneous chemical reaction. Accordingly, in the case of fast chemical processes (that is, large K value) the timesteps of the time grid required for accurate results will be determined by the chemical process. Thus, the value ATKi is fundamental since it provides an estimation of the variation of concentration in each timestep (AT) due to the conversion of species B... [Pg.102]


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Fixed time grid

Timing grid size, effect

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