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Flow temperature value

If the test is to be a guide for the selection of a material for a particular purpose, the limits of controlhng factors in service must be determined. These factors include oxygen concentration, temperature, rate of flow, pH value, and other important characteristics. [Pg.2426]

Single-Module Analysis Consider the single-module unit shown in Fig. 30-10. If the measurements were complete, they would consist of compositions, flows, temperatures, and pressures. These would contain significant random and systematic errors. Consequently, as collected, they do not close the constraints of the unit being studied. The measurements are only estimates of the actual plant operation. If the actual operation were known, the analyst could prepare a scatter diagram comparing the measurements to the actual values, which is a useful analysis tool Figure 30-19 is an example. [Pg.2567]

A pipeline is flowing 3.6 standard million cubic feet per day. The gas is made up of the following components 85% methane, 10% ethane, 4% butane, 1% nitrogen. The values are given as a mole percent. The flowing temperature is 80°F and the pressure is 300 psig. [Pg.21]

X = (lambda) yield factor, (W/W )with subscript o referring to reference value p = (mu) absolute viscosity at flowing temperature, centipoise (cp)... [Pg.539]

Incipient boiling heat flux goNB decreases with an increase in the inlet temperature. It was shown in Sect. 6.1.4 that an increase in the inlet flow temperature may lead to a drastic decrease in onb As a consequence of the above discussion the fact is that at the same value of fn the value of onb increases with increasing inlet velocity (see Eqs. 6.32, 6.33, and 6.34). [Pg.334]

Owing to the high values of the utihty flow rates, there is no significant difference between utility inlet and outlet temperature values. Thus, it is not possible to use this information to present heat balances on the UF. [Pg.276]

Although Equation (4) is conceptually correct, the application to experimental data should be undertaken cautiously, especially when an arbitrary baseline is drawn to extract the area under the DSC melting peak. The problems and inaccuracy of the calculated crystallinities associated with arbitrary baselines have been pointed out by Gray [36] and more recently by Mathot et al. [37,64—67]. The most accurate value requires one to obtain experimentally the variation of the heat capacity during melting (Cp(T)) [37]. However, heat flow (d(/) values can yield accurate crystallinities if the primary heat flow data are devoid of instrumental curvature. In addition, the temperature dependence of the heat of fusion of the pure crystalline phase (AHc) and pure amorphous phase (AHa) are required. For many polymers these data can be found via their heat capacity functions (ATHAS data bank [68]). The melt is then linearly extrapolated and its temperature dependence identified with that of AHa. The general expression of the variation of Cp with temperature is... [Pg.261]

Substitute for the partial pressures in the rate equation in terms of x. For the plug flow case, values of 1/r are tabulated over a range of x at the three temperatures, as well as some values of the integrals. Some values of Wc/F0 also are shown for the mixed cases. Note that at high conversions, the completely mixed reactor is much larger than the plug flow. [Pg.714]

Iteration solutions were first proposed by Thiele and Geddes (Tl) in 1933. In this method, all temperatures and flows must be estimated before the solution can begin. The solution is broken into three parts first, solution of the mass-balance equations under the estimated flows and temperatures second, correction of the temperatures and third, correction of the flows. Assuming values for all temperatures and flows reduces the set of mass-balance equations shown in Table I to a linear set of equations which can be solved for the compositions at each point. Because the starting assumptions are completely arbitrary, the compositions will undoubtedly be wrong (the liquid and vapor mole-fractions will not sum to unity), and better values of temperature and flows must then be obtained for use in the next iteration. [Pg.287]

In almost all situations we measure the inlet and outlet concentrations, together with the values of the flow, temperature and pressure, this is enough to calculate the rate. The rate itself can only be measured in exceptional cases. [Pg.114]

In an attempt to say something intelligent about these resistivities, there appears to be some correlation between the pH and resistivity, with low resistivity obtained when the pH is relatively low (only a few experiments have been carried out at relatively low values of pH also note Ref. 22, which describes an anomalously low resistivity even at normal values of pH). The bath described by Ito and Shiraishi [37] is very different from the previous ones, for three reasons the relatively low pH (= 8), the use of thioacetamide instead of thiourea, and the flow system used in this deposition. Very low values of dark resistivity were obtained with this bath and with an unusual temperature dependence (a minimum of 10 fi-cm was found at 63°C, which increased on either side of this temperature value). It was suggested that Cl, from the NH4CI buffer, acted as a dopant however, other chloride baths gave much higher resistivities. [Pg.156]

The friction factor depends upon the same features that govern the viscosity of small-molecule liquids. At low temperatures f0 depends on T — T% (Tg < T< Tg+ 4-100° C), and at higher temperatures it depends on an activation energy for flow. The value of 3 for a solution depends on the properties of both components and their concentrations, but it is independent of the large scale structure of the polymer as long as its molecular weight is large (Mn > 104 for most linear polymers). [Pg.49]

Fig. 9.5 Computed average velocities (proportional to volumetric flow rate) as a function of pressure drop. Length, 50 in Vi,z 5.66 in/s. Curve A, steady state curve B, adiabatic high inlet temperature curve C, adiabatic low inlet temperature. Note the double-valued flow rates at a given pressure rise in the adiabatic operation and the maximum pressure rise at finite flow-rate values. [Reprinted by permission from R. E. Colwell and K. R. Nicholls, The Screw Extroder, Ind. Eng. Chem., 51, 841-843 (1959).]... Fig. 9.5 Computed average velocities (proportional to volumetric flow rate) as a function of pressure drop. Length, 50 in Vi,z 5.66 in/s. Curve A, steady state curve B, adiabatic high inlet temperature curve C, adiabatic low inlet temperature. Note the double-valued flow rates at a given pressure rise in the adiabatic operation and the maximum pressure rise at finite flow-rate values. [Reprinted by permission from R. E. Colwell and K. R. Nicholls, The Screw Extroder, Ind. Eng. Chem., 51, 841-843 (1959).]...
Coupling of the codes is performed through the IHX. The data exchanged between the codes consists of the flow rate and temperature of helium through both hot and cold legs of the IHX. The hydrogen model calls THERMIX and the point kinetics model every time step and then new temperature and flow rate values are returned. This process is repeated each time step. [Pg.369]

Flow chart of a typical control loop showing temperature control elements a desired temperature value (set-point) is compared to the measured value by the thermometer (sensor) and, based on the error measurement, a signal to the electric resistance (actuator) is generated by the controller, that will heat up the bioreactor (process). [Pg.260]

Recently, Hoyermann et measured k over the temperature range 290-465 °K. Their work was performed in a flow system, with O being determined by ESR and the concentrations of other species measured by mass spectrometery. They found k = 1.2x 10 exp (—5800/Rr)l.mole sec , with an uncertainty of +100 cal.mole" in the activation energy. This gives a room temperature value of 6.8 X 10 l.mole .sec which is in excellent agreement with the results of Sullivan and Warneck. Homann et measured the same rate coefficient over the... [Pg.39]

Since this chapter was compiled, cw chemical lasing of I in an NCl(a)/I flow reactor has been demonstrated by Henshaw, Manke II, Madden, Berman and Hager (work submitted for publication). Komissarov and Heaven have reexamined the rate constant for self-annihilation of NCI (a). They obtained a room temperature value of (7 2) x 10 cm s , which is significantly smaller than previous estimates. [Pg.197]

The advantage of such a control system is that the feeding of fuel can be adapted to the time curve of the thermal output almost instantaneously. This ensures stable controlling which is necessary for a continuous operation without on/off-operation. On the other hand, a fuel control reacting exclusively to the boiler temperature or the flow temperature, only allows a very slow adjustment of the fuel quantity to the load curve, as a change in load becomes effective only after a certain time. Due to this dead time, there is in general no stable control without disturbance value feed-forward... [Pg.920]

The refractive index of a substance is a dimensionless constant that normally decreases with increasing temperature values are taken at 20°C or 25°C using the mean value taken for the two sodium lines of the spectrum. The optical systems that are used to exploit the refractive index for detection purposes are many and varied. One procedure is to construct a cell in the form of a hollow prism through which the mobile phase can flow. A ray of light is passed through the prism, which will be deviated from its original path, and is then focused onto a photocell. As the refractive... [Pg.1336]


See other pages where Flow temperature value is mentioned: [Pg.60]    [Pg.408]    [Pg.138]    [Pg.687]    [Pg.182]    [Pg.191]    [Pg.115]    [Pg.174]    [Pg.24]    [Pg.133]    [Pg.43]    [Pg.80]    [Pg.93]    [Pg.185]    [Pg.813]    [Pg.509]    [Pg.82]    [Pg.45]    [Pg.182]    [Pg.248]    [Pg.39]    [Pg.58]    [Pg.277]    [Pg.210]    [Pg.140]    [Pg.93]    [Pg.218]   
See also in sourсe #XX -- [ Pg.586 ]




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Temperature flowing

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