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Specify Block Parameters

Click each block in turn and fill in block parameters (see Fig. C.7). Sometimes the window has multiple options, which you need to complete if they are red. [Pg.264]


To specify a parameter in a module as a design variable, you have to place a control block around the module and adjust the parameter such that design specifications are met. This arrangement creates a loop. If the values of many design variables are to be determined, you might end up with several nested loops of calculation. [Pg.201]

The temperatures and compositions of the wastewater and solvent feed streams, as well as the wastewater feed flow rate, are specified in the problem statement. The solvent flow rate is specified as one-fifteenth of the wastewater flow rate as described above. In the EXTRACT block, the number of stages will be manually varied from 2 to 10 to observe the effect on the raffinate and extract concentrations, and it will be specified as operating adiabatically at 1.7 atm. Water is specified as the key component in the first liquid phase, and MIBK is specified as the key component in the second liquid ph e. The rest of the block parameters (convergence, report, and miscellaneous block options) are allowed to remain at their default values. [Pg.1740]

The term in equation 42 is called a Souders-Brown capacity parameter and is based on the tendency of the upflowing vapor to entrain Hquid with it to the plate above. The term E in equation 43 is called an E-factor. and E to be meaningful the cross-sectional area to which they apply must be specified. The capacity parameter is usually based on the total column cross section minus the area blocked for vapor flow by the downcomer(s). Eor the E-factor, typical operating ranges for sieve plate columns are... [Pg.168]

Hence, we can maintain the block tridiagonal structure of the Jacobian in (4.5) if we introduce the parameter a as a dependent variable at m of the m -h 1 grid points and if we specify a normalization condition at the remaining grid point that does not introduce nonzero Jacobian entries outside of the three block diagonals. The success of this procedure depends upon the choice of the normalization condition. [Pg.411]

Construct your own DTA apparatus, using a Tauilding-block" approach. The desired parameters for your DTA are max temp = 1200 °C Atm = A, N R. Be sure to specify the particulars of your apparatus e.g.- temp programmer = 1 to 30 °C per minute, etc. [Pg.441]

For time-series data, the contiguous block method can provide a good assessment of the temporal stability of the model, whereas the Venetian blinds method can better assess nontemporal errors. For batch data, one can either specify custom subsets where each subset is assigned to a single batch (i.e., leave one batch out cross-validation), or use Venetian blinds or contiguous blocks to assess within-batch and between-batch prediction errors, respectively. For blocked data that contains replicates, one must be very careful with the Venetian blinds and contiguous block methods to select parameters such that the rephcate sample trap and the external subset traps, respectively, are avoided. [Pg.411]

In addition, the sensitivity tables do not consider the inherent nonlinearity of the HEN resilience problem. Thus while the use of downstream paths and sensitivity tables may guarantee feasible HEN operation for specified discrete values of supply temperatures and flow rates, they do not guarantee feasible HEN operation for intermediate supply temperatures and flow rates [unless all paths between varying and fixed parameters have been blocked, as in Fig. 22b, or unless the assumptions of the corner point theorem (Section III,B,1) are satisfied]. More rigorous testing (e.g., using one of the techniques discussed in Section III) may be necessary to guarantee resilience for intermediate supply temperatures and flow rates. [Pg.85]

In generaf each module contains one or more inputs and an output. The programming involves connecting outputs of function blocks to inputs of other blocks via the graphical-user interface. Some modules may require additional parameters to direct module execution. Users are required to fill in templates to indicate the sources of input values, the destinations of output values, and the parameters for forms/tables prepared for the modules. The source and destination blanks may specify process I/O channels and tag names when appropriate. To connect modules, some systems require filling in the tag names of modules originating or receiving data. [Pg.71]

Molarity. The values for k and E are entered. The activation energy can specified in several different types of units, but the k must have units of kmol s-1 m-3. The kinetic parameters of the two other reactions are set up in the same way (see Figs. 2.53 and 2.54). The reactions are now all specified and can be used in the reactor block (Rl). [Pg.84]

The first block (the first 64KB) is used for loading the DOS operating system files into memory. Also, this area contains any memory allocated to DOS disk buffers (specified by the BUFFERS= parameter in the CONFIG. SYS file). Additionally, DOS uses this area to load additional memory drivers (EMM386. EXE and HIMEM. SYS). Finally, any memory that DOS needs for system operations (input/ output buffers, the processing of interrupts, and so on) is also allocated from this first 64KB area. [Pg.126]

Compressive strength is the most frequently measured and specified mechanical property. Test specimens in the form of cubes or cylinders (of sizes specified in the respective standards) are cut directly from the blocks. The results show considerable scatter which mostly results from a non-homogeneous macrostructure or a non--uniform degree of sintering. In this respect, conditions of the manufacturing processes and the technological parameters can be inferred from the strength values. [Pg.392]

Figure 5.9b A feedback control module, Nl a graphical representation of a subroutine that adjusts equipment parameters to force a desired value of a stream variable. In the figure the feedback control block compares the stream variable value with the specification. When the convergence tolerance is satisfied, the next unit in the calculation order is computed. Otherwise, the control block adjusts the reflux ratio so as to achieve a specified distillate mole fraction. Figure 5.9b A feedback control module, Nl a graphical representation of a subroutine that adjusts equipment parameters to force a desired value of a stream variable. In the figure the feedback control block compares the stream variable value with the specification. When the convergence tolerance is satisfied, the next unit in the calculation order is computed. Otherwise, the control block adjusts the reflux ratio so as to achieve a specified distillate mole fraction.
The simulation techniques presented above can be applied to all first order phase transitions provided that an appropriate order parameter is identified. For vapor-liquid equilibria, where the two coexisting phases of the fluid have the a similar structure, the density (a thermodynamic property) was an appropriate order parameter. More generally, the order parameter must clearly distinguish any coexisting phases from each other. Examples of suitable order parameters include the scalar order parameter for study of nematic-isotropic transitions in liquid crystals [87], a density-based order parameter for block copolymer systems [88], or a bond order parameter for study of crystallization [89]. Having specified a suitable order parameter, we now show how the EXEDOS technique introduced earlier can be used to obtain in a particularly effective manner for simulations of crystallization [33]. The Landau free energy of the system A( ) can then be related to P,g p( ((/"))... [Pg.106]

Since theta(5) is a probability it must be constrained to the interval [0,1] in the THETA block. Also note that changing from the nonmixture model to the mixture model required the addition of two new theta parameters. One was used to control the probability partition, and the other to specify how the two subpopulations differed. For now, note that neither can be entered into the model uniquely. They must both go into the model together, or be removed from the model together (the designated driver system), and this leads to issues regarding the hypothesis testing for the presence of a mixture (see Section 28.5). Two control stream/report/output table pairs (C2. txt/r2. TXT/T2A. TXT and C3. txt/r3. txt/t3a. txt) can be... [Pg.728]

KINETICS This keyword begins a block of data which identifies kinetic reactions and supplies parameters used in each reaction, such as activation energies, duration of reactions, number of steps, etc. In Table 11.2 only one kinetic reaction is specified, for albite dissolution. For comparison with the react example, we use the same amount of mineral, and the same kinetic parameters. The current amount (moles) of mineral, which will decrease during dissolution, is identified as -m, and the initial amount of mineral, in this case the same quantity, is identified as -mO. phreeqc measures... [Pg.239]

RATES This data block supplies a program written in basic which defines the rate reactions, using parameters specified in the KINETICS block. In addition to most of the usual basic commands, several commands unique to phreeqc are also available, which allow access to parameters calculated by phreeqc. Using a basic program means a bit more work for the user, but the results are worth it, in the sense that virtually any kinetic rate law may be introduced. [Pg.241]


See other pages where Specify Block Parameters is mentioned: [Pg.264]    [Pg.264]    [Pg.293]    [Pg.554]    [Pg.1743]    [Pg.57]    [Pg.1737]    [Pg.27]    [Pg.187]    [Pg.72]    [Pg.617]    [Pg.277]    [Pg.77]    [Pg.489]    [Pg.164]    [Pg.59]    [Pg.132]    [Pg.24]    [Pg.160]    [Pg.1590]    [Pg.28]    [Pg.1740]    [Pg.81]    [Pg.291]    [Pg.79]    [Pg.418]    [Pg.181]    [Pg.389]    [Pg.54]    [Pg.148]   


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