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Program limitations and notes

A liquid is flowing through a 6-mm-diameter orifice with flange taps in a 50 NB sch. 40 pipe. The flow parameters are presented as follows. Estimate the maximum nonrecoverable pressure drop. [Pg.173]

Liquid viscosity = 0.7 cP Operating pressure = 1100 kPaA Operating temperature = 20°C [Pg.173]

Volumetric flow = 0.000694 vcF/sec Velocity = 0.32 m/sec Re5molds number = 24000 Beta ratio = 0.1143 Pipe diameter = 0.05248 m Cd (from Equation 2.16) = 0.5964 [Pg.173]

Differential pressure = 848.5 kPa (from Equation 2.12) Nonrecoverable pressure drop = 835.4 kPa (from Equation 2.20) [Pg.173]

Process engineering and design using Visual Basic [Pg.174]


It is evident that the distance between the inhouse and the specification limits is influenced by the quality of the calibration/measurement procedure a fixed relation, such as 2(j, 3(j, as has been proposed for control charts, might well be too optimistic or too pessimistic (for a single test result exactly on the 2(7 inhouse limit, the true value would have a = 16% chance of being outside the 3(7 SL). Note that it takes at least n - 6 (resp. n = 11) values to make a z = 2 (z = 3) scheme (see Figure 1.24) even theoretically possible. For n = 4, for instance, xmean would have to be > 1.5 a in order that the largest x could be beyond 3a run a series of simulations on program CONVERGE and concentrate on the first four data points to see that an OOS... [Pg.114]

The measure of acidity/basicity and discrimination between Lewis and Bronsted acidity is a delicate task This topic is the subject of other chapters of this series Molecular Sieves - Science and Technology (cf. Volume 4, Chapter 1, Volume 5, Chapter 2, Volume 6, Chapters 3-6), to which the reader is referred for detailed information. We limit to note that means for measuring the acidity and basicity of MTS are the same as with other systems titration, adsorption volumetry, gravimetry and microcalorimetry, temperature-programmed desorption (basically of ammonia), infrared and NMR spectroscopies and catalytic probe reactions. [Pg.218]

However, the total number of equilibrium stages N, N/N,n, or the external-reflux ratio can be substituted for one of these three specifications. It should be noted that the feed location is automatically specified as the optimum one this is assumed in the Underwood equations. The assumption of saturated reflux is also inherent in the Fenske and Underwood equations. An important limitation on the Underwood equations is the assumption of constant molar overflow. As discussed by Henley and Seader (op. cit.), this assumption can lead to a prediction of the minimum reflux that is considerably lower than the actual value. No such assumption is inherent in the Fenske equation. An exact calculational technique for minimum reflux is given by Tavana and Hansen [Jnd. E/ig. Chem. Process Des. Dev., 18, 154 (1979)]. A computer program for the FUG method is given by Chang [Hydrocarbon Process., 60(8), 79 (1980)]. The method is best applied to mixtures that form ideal or nearly ideal solutions. [Pg.1274]

It should also be noted that a force field for a wide variety of small molecules, CHARMm (note the small m, indicating the commercial version of the program and parameters), is available [39] and has been applied to protein simulations with limited success. Efforts are currently under way to extend the CHARMm small molecule force field to make the nonbonded parameters consistent with those of the CHARMM force fields, thereby allowing for a variety of small molecules to be included in computational smdies of biological systems. [Pg.14]

The measurement has noise superimposed on it, so that the analyst decides to repeat the measurement process several times, and to evaluate the mean and its confidence limits after every determination. (Note This modus operandi is forbidden under GMP the necessary number of measurements and the evaluation scheme must be laid down before the experiments are done.) The simulation is carried out according to the scheme depicted in Fig. 1.19. The computer program that corresponds to the scheme principally contains all of the simulation elements however, some simplifications can be introduced ... [Pg.41]


See other pages where Program limitations and notes is mentioned: [Pg.173]    [Pg.178]    [Pg.193]    [Pg.353]    [Pg.363]    [Pg.173]    [Pg.178]    [Pg.193]    [Pg.353]    [Pg.363]    [Pg.114]    [Pg.136]    [Pg.23]    [Pg.22]    [Pg.120]    [Pg.608]    [Pg.579]    [Pg.204]    [Pg.300]    [Pg.201]    [Pg.920]    [Pg.239]    [Pg.300]    [Pg.299]    [Pg.269]    [Pg.312]    [Pg.312]    [Pg.58]    [Pg.685]    [Pg.170]    [Pg.481]    [Pg.164]    [Pg.152]    [Pg.12]    [Pg.23]    [Pg.161]    [Pg.92]    [Pg.310]    [Pg.70]    [Pg.69]    [Pg.441]    [Pg.617]    [Pg.231]   


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Program limitations

Program limitations programming

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