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Parametic plot

Figure 28 shows the key features of the humidity chart. The chart consists of the following four parameters plotted as ordinates against temperature on the abscissas (1) Humidity H, as pounds of water per pound of dry air, for air of various relative humidities (2) Specific volume, as cubic feet of dry air per pound of dry air (3) Saturated volume in units of cubic feet of saturated mixture per pound of dry air and (4) latent heat of vaporization (r) in units of Btu per pound of water vaporized. The chart also shows plotted hiunid heat (s) as abscissa versus the humidity (H) as ordinates, and adiabatic humidification curves (i.e., humidity versus temperature). Figure 28 represents mixtures of dry air and water vapor, whereby the total pressure of the mixture is taken as normal barometric. Defining the actual pressure of the water vapor in the mixture as p (in units of mm of mercury), the pressure of the dry air is simply 760 - p. The molal ratio of water vapor to air is p/(760-p), and hence the mass ratio is ... [Pg.128]

Fig. 2. Parameter plot for NaZn13, showing the line corresponding to a regular icosahedron, the point corresponding to a regular snub cube, and the parameters actually obtained in the previous and present investigations. Fig. 2. Parameter plot for NaZn13, showing the line corresponding to a regular icosahedron, the point corresponding to a regular snub cube, and the parameters actually obtained in the previous and present investigations.
Figure 5 shows such an Auger parameter plot for a series of aluminum compounds. Due to crowding, several values given in Table I are omitted from this plot. Most of the compounds are grouped to the lower left, whereas aluminum metal is at the upper right. Intermediate between these are sodium zeolite and zinc aluminate (ZnAl204). [Pg.42]

The deposition rate increases upon increasing the pressure. This is explained by noting that the impingement rate per unit area, r,, of molecules on the filament is linearly dependent on the pressure as r, = pj 2nksT, with the gas temperature. However, as the pressure becomes higher, the collisional mean free path of the silane becomes smaller, and the silane supply to the filaments becomes restricted. Moreover, the transport of deposition precursors to the substrate is restricted as well. The mean free path of silane was estimated to be 2.5 cm at a pressure of 0.02 mbar [531]. i.e.. the mean free path about equals the distance between filament and substrate. Indeed, a maximum in deposition rate is observed at this pressure. This corresponds to a value of pdk of 0.06 (cf. [530]). The microstructure parameter plotted as a function of pd has a minimum around Ms = 0.06 0.02 [530]. [Pg.160]

Investigate the batch reactor for the case of an equilibrium reaction. Reset the equilibrium constant to the original value in the program. Run first the batch reactor isothermally in the range of 300 to 400 R and determine the equilibrium conversion. Use the Parameter Plot tool for this to obtain the values at each temperature. At low temperatures make sure the STOPTIME is always sufficiently long to reach equilibrium. Using the same temperatures as in Exercise 1, find the reaction times to achieve fraction conversions XA of 90, 95 und 99%. [Pg.309]

Fig. 2 Parameter plot showing variation of XA with F for the irreversible reaction run in an isothermal, continuous reactor at 305K... Fig. 2 Parameter plot showing variation of XA with F for the irreversible reaction run in an isothermal, continuous reactor at 305K...
Check to see that J was really a maximum using Parameter Plots. Plot also... [Pg.369]

Using EINT2 as objective function, vary Kp (KP) and Tj (TAUI) using the Optimize function in Madonna. Set controller 1 stepflow=l and steptemp=0. Use parameter plots to verify the minimum. [Pg.422]

Make nine graphs, one for each of the varied parameters, plotting absorbance vs. the parameter setting or reading and comment on what was discovered in each case. Also comment on what would happen in each case if the analyte metal were changed to some other metal. Would the optimum settings found be different or the same Explain. [Pg.269]

F S. Root mean square order parameter plotted vs. temper-... [Pg.105]

Figure 9d. The puckering parameter, plotted against D. At 435 A, the length for a perfect chair, changes from 60 to 240. ... Figure 9d. The puckering parameter, plotted against D. At 435 A, the length for a perfect chair, changes from 60 to 240. ...
Concentration Residuals vs. Other Postulated Parameter Plot (Model and Sample Diagnostic) The caustic concentration residuals are plotted as a function of temperature in Figure 5.57 to verify that the temperature has been modeled. There does not appear to be any structure in this plot, indicating that temperature has been adequately incorporated into the model. [Pg.303]

Fig. 4.2. The four histograms and six dual-parameter plots derived from the data from a four-parameter cytometer. Each of the six dual-parameter plots could be drawn with the x and y axes reversed. Fig. 4.2. The four histograms and six dual-parameter plots derived from the data from a four-parameter cytometer. Each of the six dual-parameter plots could be drawn with the x and y axes reversed.
Histogram luminescence. Volume 2(11). Single-parameter plot of data. In flow cytometry, the horizontal axis displays the light scatter or fluorescence intensity parameter and the vertical parameter displays the number of events (e.g., cell count). Volume 1(5). [Pg.392]

The Smith et al. correlation (20, Fig. 6.11). This is another early entrainment flooding prediction method that has sometimes been recommended (11). Compared to Fair s correlation, the Smith et al. correlation is claimed (20) to be less conservative. It was derived from a small base of field data for sieve, valve, and bubble-cap trays. Similar to Fair s correlation, Smith s correlation uses CSB versus a flow parameter plot, but here the dependence of CSB on the flow parameter is weaker, and there is no surface tension correction factor. CSB and flood 316 both based on the net area AN, and are evaluated from Fig. 6.11 and Eq. (6,9), respectively. The height over the weir, how, is obtained from Eq, (6.49). [Pg.279]

As discussed in section 6.6, data occasionally plot along a well-defined line (in most cases a mixing line). The mean deviation from such a line provides an upper limit for the sum of analytical errors for the parameters plotted. [Pg.107]

Figure 6.61. Parameters plotted as a function of electrode potential. Data were obtained by fitting the impedance spectra to Figure 6.58 [46]. (Reprinted with permission from Journal of Physical Chemistry B 2001 105(5) 1012-25. 2001 American Chemical Society.)... Figure 6.61. Parameters plotted as a function of electrode potential. Data were obtained by fitting the impedance spectra to Figure 6.58 [46]. (Reprinted with permission from Journal of Physical Chemistry B 2001 105(5) 1012-25. 2001 American Chemical Society.)...
Remove the parameter that exhibits a high loading in PC2 and recalculate the scores using only four parameters. Plot the scores. What do you observe, and why ... [Pg.256]

FIGURE 19 (a) 3D data plot with fitted plane twisted at t = tmax and (b) 3D parameter plot of ( ) DCPD dicalcium phosphate dihydrate, (O) spray-dried lactose, ( ) MCC. microcrystalline cellulose, (0) theophylline monohydrate, and ( ) HPMC hydroxypropyl methylcel-lulose for data gained with an eccentric table ting machine [47]. [Pg.1080]


See other pages where Parametic plot is mentioned: [Pg.461]    [Pg.146]    [Pg.309]    [Pg.422]    [Pg.603]    [Pg.230]    [Pg.12]    [Pg.37]    [Pg.275]    [Pg.212]    [Pg.564]    [Pg.265]    [Pg.52]    [Pg.269]    [Pg.279]    [Pg.453]    [Pg.106]    [Pg.106]    [Pg.107]    [Pg.107]    [Pg.108]    [Pg.108]    [Pg.109]    [Pg.109]    [Pg.110]    [Pg.110]    [Pg.111]    [Pg.111]    [Pg.112]    [Pg.112]   
See also in sourсe #XX -- [ Pg.600 ]




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Arrhenius plots, kinetic parameters

Dielectric relaxation parameter plots

Generate Squared Terms if Justified by the Single Parameter Plots

Kinetic parameters, from Arrhenius plots

Parameter plot, solubility

Parameter sensitivity analysis plots

Plot Each Parameter versus Activity

Plot parameters

Plot parameters

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