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Flow optimal

Flow, control of, 265 Flow function on network, 258 Flow, optimal, method for, 261 Fock amplitude for one-particle system, 511 Fock space, 454 amplitudes, 570 description of photons, 569 representation of operators in, 455 Schrodinger equation in, 459 vectors in, 454 Focus, 326 weak, 328... [Pg.774]

Simpler optimization problems exist in which the process models represent flow through a single pipe, flow in parallel pipes, compressors, heat exchangers, and so on. Other flow optimization problems occur in chemical reactors, for which various types of process models have been proposed for the flow behavior, including well-mixed tanks, tanks with dead space and bypassing, plug flow vessels, dispersion models, and so on. This subject is treated in Chapter 14. [Pg.461]

Feed flow optimization (a) maximizing throughput by fully loading the condenser (b) maximizing throughput against a reboiler constraint (c) maximum recovery of the heat content of bottom product by economizer. [Pg.248]

Procedure (See Chromatography, Appendix IIA.) Use a gas chromatograph equipped with a flame-ionization detector and a 4-m x 2-mm (id) stainless-steel column, or equivalent, packed with 15%, by weight, methyl trifluoropropyl silicone (DCFS 1265, or QF-1, or OV-210, or SP-2401) stationary phase on 80- to 100-mesh Gas Chrom R, or the equivalent. Condition a newly packed column at 120° and with a 30-mL/ min helium flow for at least 2 h (preferably overnight) before it is attached to the detector. For analysis, maintain the column isothermally at 105° the injection port and detector at 250° the carrier gas flow rate at 11 mL/min with fuel gas flows optimized for the gas chromatograph and detector in use. Change the experimental conditions as necessary for optimal resolution and sensitivity. The signal-to-noise ratio should be at least 10 1. [Pg.220]

Step 9. We have now established the basic regulatory plantwide control strategy (Fig. 11.3). Based upon the heuristic established by Fisher et al. (1988) that recycle gas flow s should be maximized to improve reactor yield, we open or remove the separator, vaporizer, and absorber overhead valves and run the compressor full out. To minimize the decanter temperature for improved organic recovery, the column condenser cooling water is set at maximum flow. Optimization of several controller... [Pg.335]

Thus, the governing equation to this reactor scheme reduces to that of segregated flow, and the formulation reduces to the segregated flow optimization problem in Section III. Furthermore, the 7g s can now be directly related to the RTD function (Balakrishna and Biegler, 1993) through the following relation ... [Pg.286]

The automation or semi-automation of a conventional manual method by FIA often results in a decrease in the number and level of interferents. Thus, in the FIA version of the determination of cyanide by the classical reaction with barbituric acid/chloramine T, nitrite and sulphide pose no Interference at concentrations ten times as high as that of the analyte, which is otherwise adversely affected by the presence of both interferents in the manual method [48], The greater tolerance to foreign species in FIA methods can be generally attributed to their kinetic character, so that undesirable side reactions scarcely have the opportunity to develop to an appreciable extent in such a short interval as the residence time. The tolerance to extransous species is even more remarkable in kinetic FIA methods based on the measurement of a reaction rate (stopped-flow). Optimization of FIA systems as regards selectivity is a relatively simple task on account of their enormous versatility. [Pg.183]

Treat seizures (see p 22) and coma (p 19) if they occur. Provide adequate fluids to maintain urine flow (optimally 1-2 mUkg/h) but avoid overhydration, which may aggravate cerebral edema. Avoid phenothiazines for delirium, as they may lower the seizure threshold. [Pg.240]

Within the framework of component development, CFD is used for scientific modeling and model validation in addition to the classical engineering parameter studies and optimization processes. Both approaches are based on the use of HPC calculation capacity. Within the framework of modeling and vahdation, HPC facilitates a complex representation of the physical phenomena with fine space and time discretization. With the aid of such submodels and appropriate laboratory experiments, models for nozzles, heat transfer phenomena, two-phase flow, and so on can be derived and vahdated. CFD models thus selected and validated form the basis for the CFD-based design and optimization of flow systems. The classical engineering problem of parameter variation and optimization requires a large number of simulation calculations and therefore leads to an extremely high cost of computation. HPC allows the parallelization of individual simulations, which in turn makes it possible to calculate several simulations simultaneously and thus enables comprehensive parameter studies and flow optimizations to be completed in an acceptable time frame. In the ATR 10 development process, CFD simulations were conducted on up to 16 cores of the JuRoPA supercomputer simultaneously. This meant that when two simulation... [Pg.729]

For the large cooling towers built in the last few decades, the thin reinforced Crete shell, reinforced in two axes on both surfaces, has proved eminently suitatable. For structural, thermodynamic and flow optimization reasons rota-tionally hyperbolic shapes are desirable, and occasionally also cylinders. These shapes are at same time aesthetically pleasing because they make the gigantic dimensions of the structures seem tolerable. [Pg.764]

Final predicted optimal isocratic separation after column and flow optimization. [Pg.582]

One of the model aims is to maximize the satisfaction of consumer demands. The maximum flow optimization method was used to achieve this goal. Simplex method of linear programing was used to find the maximum flow in the pipeline network. The mathematical model of this problem could be written as ... [Pg.183]

KED using helium as the collision gas works very well when the interfering polyatomic ion is physically larger than the analyte ion. This is exemplified in Figure 10.4, which shows helium flow optimization plots for six elements in 1 10 diluted seawater. It can be seen that the signal intensity for the analytes—Cr, V, Co, Ni, Cu, and As—are all at a maximum, whereas their respective matrix, argon. [Pg.77]

FIGURE 10.4 Helium cell gas flow optimization plots for Cr, V, Co, Ni, Cu, and As in 1 10 diluted seawater, showing that all polyatomic interfering ions are reduced to an acceptable level under one set of cell gas flow conditions. (Courtesy of Thermo Scientific.)... [Pg.79]

The aim of flow optimization for given column properties at a given temperature and with a given carrier gas is to find the flow rate which gives either the maximum number of separation steps or at adequate efficiency the shortest possible analysis time. [Pg.164]

A mini chip based controller card which controls the hydrogen flow optimally to maximize the efficiency is also developed. This chip based card is universal, i.e. can be used for smaller as well as larger stacks. [Pg.212]


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See also in sourсe #XX -- [ Pg.113 ]




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Flow rate optimization

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Optimization of Pumping Rates in the Through-Flow System

Optimization of flow

Optimization of flow rate

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Optimizing process flow

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