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DeADeS

Increasing the size of equipment in the steps which limit the batch cycle time to reduce the dead time for those steps which are not limiting. [Pg.251]

In batch process optimization, one of the principal objectives is to improve equipment utilization through reduction in dead time. This requires both structural and parameter optimization, with many options available. [Pg.252]

Ignition advance, degrees before Top Dead Center 13 14 to 26 ... [Pg.196]

Let us consider a conductive material with the conductivity a, in which have been machined relatively small discontinuities shaped like dead hole. The surface has been inspected with a transducer with orthogonal coils connected in an impedance bridge [11]. [Pg.378]

There are two approaches to explain physical mechanism of the phenomenon. The first model is based on the existence of the difference between the saturated vapor pressures above two menisci in dead-end capillary. It results in the evaporation of a liquid from the meniscus of smaller curvature ( classical capillary imbibition) and the condensation of its vapor upon the meniscus of larger curvature originally existed due to capillary condensation. [Pg.616]

At first we tried to explain the phenomenon on the base of the existence of the difference between the saturated vapor pressures above two menisci in dead-end capillary [12]. It results in the evaporation of a liquid from the meniscus of smaller curvature ( classical capillary imbibition) and the condensation of its vapor upon the meniscus of larger curvature originally existed due to capillary condensation. We worked out the mathematical description of both gas-vapor diffusion and evaporation-condensation processes in cone s channel. Solving the system of differential equations for evaporation-condensation processes, we ve derived the formula for the dependence of top s (or inner) liquid column growth on time. But the calculated curves for the kinetics of inner column s length are 1-2 orders of magnitude smaller than the experimental ones [12]. [Pg.616]

Thus it is necessary to find alternative approach to describe the physical mechanism of two-side filling of conical capillaries with hquids. Theoretical model of film flow in conical dead-end capillary is based on the concept of disjoining pressure II in thin liquid film [13]... [Pg.616]

Fig. 4 illustrates the time-dependence of the length of top s water column in conical capillary of the dimensions R = 15 pm and lo =310 pm at temperature T = 22°C. Experimental data for the top s column are approximated by the formula (11). The value of A is selected under the requirement to ensure optimum correlation between experimental and theoretical data. It gives Ae =3,810 J. One can see that there is satisfactory correlation between experimental and theoretical dependencies. Moreover, the value Ae has the same order of magnitude as Hamaker constant Ah. But just Ah describes one of the main components of disjoining pressure IT [13]. It confirms the rightness of our physical arguments, described above, to explain the mechanism of two-side liquid penetration into dead-end capillaries. [Pg.617]

To clear up a role of two-side filling with liquids of dead-end capillaries in the practice of PT, we ve carried out some special experiments. It was established some years ago that it s almost impossible to reveal small defects applying dry powder developer in the case when defect s hollows are completely filled with a penetrant. But just such a situation one... [Pg.617]

Physical mechanism of two-side filling of dead-end capillaries with liquids, based on liquid film flow along the wall, is proposed for the first time. Theoretical model correlates with experimental data. [Pg.618]

A Technique of Ultrasonic Testing without Dead Zone for Coarse-Grained TC4 Extrusion Pipe. - The Development of Single Crystal Creeping Wave Prohe. [Pg.806]

In this paper, the following aspects have been studied (A) Flaw detection can be made directly on the surface of the pipes, (B) The defects within the range of wall thickness can be tested out, that is to say, the ultrasonic testing without dead zone for the pipe wall can be realized and (C) Testing the defects of FBH as our testing. Objects, we may make the testing... [Pg.806]

In order to get an extremely high resolution and a small dead zone" (after the transmitter pulse) single amplifier states must have a bandwidth up to 90 MHz ( ), and a total bandwidth of 35 MHz (-3 dB) can be reached (HILL-SCAN 3010HF). High- and low-pass filters can be combined to band-passes and provide optimal A-scans. All parameters are controlled by software. [Pg.858]

This method is smiple but experimentally more cumbersome than the volumetric method and involves the use of a vacuum microbalance or beam balance [22], The solid is suspended from one ann of a balance and its increase in weight when adsorption occurs is measured directly. The dead space calculation is thereby avoided entirely but a buoyancy correction is required to obtain accurate data. Nowadays this method is rarely used. [Pg.1877]

Heydemann P L M 1997 The Bi l-ll transition pressure measured with a dead-weight piston gauge J. Appi. Phys. 38 2640... [Pg.1963]

A well-understood catalytic cycle is tliat of the Wilkinson alkene hydrogenation (figure C2.7.2) [2]. Like most catalytic cycles, tliat shown in figure C2.7.2 is complex, involving intennediate species in tire cycle (inside tire dashed line) and otlier species outside tire cycle and in dead-end patlis. Knowledge of all but a small number of catalytic cycles is only fragmentary because of tire complexity and because, if tire catalyst is active, tire cycle turns over rapidly and tire concentrations of tire intennediates are minute thus, tliese intennediates are often not even... [Pg.2699]

Bromides of sodium, potassium, magnesium and calcium occur in sea water (about 0.07 % bromine) but the Dead Sea contains much more (5% bromine). Salt deposits (e.g. at Stassfurt) also contain these bromides. Silver bromide, AgBr, is found in South America. [Pg.318]

All the methods of obtaining information via the Internet presented above carry one risk - dead links. Although a search term may be found by a search engine in its own website-metadata database, the original link to the website could be broken and the information is lost. In this book a conscious effort has been made to limit the URLs and to reduce the web address to the index page of the seiwer, to avoid this sometimes annoying problem. [Pg.272]

A drawback of this approach is that it typically generates enormous and imwieldy synthesis trees which contain a large number of dead-end branches which are not worth further consideration. Furthermore, the chemist is forced to follow a rigid scheme during the planning process, alternating between the application of transforms, the derivation of new precursors, and again the application of further transforms to these precursors. [Pg.577]

Another important distinction relating to pore geometry is that between "through" pores, with two open ends, and "dead-end" pores with only one. [Pg.65]

Now suppose e(a) denotes the total void volume associated with pores of radii < a, per unit volume of the porous medium. This includes the contributions of any dead-end pores. Chough these are not taken into account in the distribution function f(a,ri). Then we shall write... [Pg.73]

Furthermore, if there are no dead end pores it is not difficult to show from equation (8.16) that under the assumption of... [Pg.75]

Since the void fraction distribution is independently measurable, the only remaining adjustable parameters are the A, so when surface diffusion is negligible equations (8.23) provide a completely predictive flux model. Unfortunately the assumption that (a) is independent of a is unlikely to be realistic, since the proportion of dead end pores will usually increase rapidly with decreasing pore radius. [Pg.75]

Dead-end micropores are excluded here, of course, since they carry no concentration gradients in steady non-reactive conditions. [Pg.78]


See other pages where DeADeS is mentioned: [Pg.249]    [Pg.250]    [Pg.38]    [Pg.54]    [Pg.340]    [Pg.218]    [Pg.504]    [Pg.263]    [Pg.70]    [Pg.752]    [Pg.806]    [Pg.806]    [Pg.807]    [Pg.808]    [Pg.811]    [Pg.1433]    [Pg.1433]    [Pg.1694]    [Pg.1876]    [Pg.1957]    [Pg.1959]    [Pg.299]    [Pg.71]    [Pg.74]    [Pg.77]    [Pg.78]   
See also in sourсe #XX -- [ Pg.464 ]




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A Random Model with Two Dead-End Complexes

Abundances and Dead Time

Alive vs. dead sensor

Alveolar dead space

Analysis, computers dead time

Anatomic dead space

Anatomical dead space

Apparent dead time

Atropa Belladonna, Deadly nightshade

Bactericidal LIVE/DEAD analysis

Bottom dead center

Bottom dead centre

Bubble dead time

Calcination dead burning

Calcined and Dead Burned Dolomite (Doloma)

Cell performance, dead lithium

Chemical differences between living and dead

Chemical differences between living and dead plants

Column dead volume

Column, capillary dead volume

Columns dead time

Compensation, dead time

Completely dead state

Component-equilibrium dead state

Containment dead loads

Control band, dead

Controller tuning for capacity and dead time processes

Conventional or Dead-End Filtration

Conversion according to Non-Ideal CSTR with Dead Zone and Bypass

Counters, dead time

Counting dead time

Counting loss dead-time compensation

Counting statistics dead time correction

DEAD

DEAD

DEAD (diethyl

DEAD (diethyl Mitsunobu

DEAD (diethyl alkylation

DEAD reaction

DEAD, cycloaddition

DEAD, diethyl azodicarboxylate

DEAD-H2

DEAD/PPh

Deactivation dead” chains

Dead Letters Don t Die

Dead Oil

Dead Sea

Dead Sea Bromine Group

Dead Sea Bromine Group (Headquarters Beer Sheva, Israel)

Dead Sea Magnesium Ltd

Dead Sea Scrolls

Dead Sea brine

Dead Sea salt

Dead Sea, Israel, Jordan

Dead Time of Scintillation Counters

Dead Vtbody Elimination

Dead algorithm

Dead band

Dead band, instrument

Dead bodies

Dead burned magnesia

Dead cartridges

Dead catalyst

Dead cell performance

Dead cells

Dead cells estimation

Dead cells forward scatter

Dead chains

Dead code

Dead column

Dead comer

Dead cotton fibres

Dead end configuration

Dead end inhibition

Dead end pores

Dead fetus

Dead flux

Dead flux curve

Dead implants

Dead layer

Dead legs

Dead lithium

Dead load

Dead load definition

Dead load hardness test

Dead man

Dead man switch

Dead man’s fingers

Dead membrane technology

Dead of Night

Dead planet

Dead plant

Dead polymer

Dead polymer chain formation

Dead pressed explosive

Dead pressing

Dead reckoning

Dead roasting

Dead space

Dead space calculating

Dead space determination

Dead space liquid volume

Dead space of the apparatus

Dead space physiological

Dead spot, filters

Dead spots

Dead state

Dead state fundamental

Dead state reference datum

Dead state temperature

Dead state, definition

Dead stock

Dead tanning

Dead telechelic oligomers

Dead time

Dead time Bode plot

Dead time after mixing reactants

Dead time chromatographic

Dead time collection

Dead time compensator

Dead time corrections

Dead time function

Dead time measurement

Dead time stopped-flow mixing

Dead time transfer function

Dead time variable

Dead time, activation analysis

Dead time, signal distortion

Dead total

Dead universes

Dead volume

Dead volume between differential

Dead volume measurement

Dead volume, detectors

Dead water

Dead water pockets

Dead water transfer

Dead water zone

Dead wood

Dead zero signal

Dead zone training

Dead zone, instrument

Dead zones

Dead zones, ocean

Dead-End Inhibition in Steady-State Bisubstrate Systems

Dead-Time Effect

Dead-Time-Related Signal Distortion

Dead-burned dolomite

Dead-burned lime

Dead-burning

Dead-code elimination

Dead-end cake filtration

Dead-end complex

Dead-end elimination

Dead-end elimination theorem

Dead-end filtration

Dead-end inhibitors

Dead-end intermediate

Dead-end mechanism

Dead-end membrane filter

Dead-end metabolite

Dead-end mode

Dead-end polymerization

Dead-end reactor

Dead-end species

Dead-ended filtration -

Dead-ending

Dead-ending (depletion

Dead-ends

Dead-head piping systems

Dead-layer model

Dead-layer thickness

Dead-loading

Dead-ring test

Dead-space ventilation

Dead-space volume

Dead-space volume chromatography

Dead-stop end-point titration

Dead-stop method

Dead-stop polymerization

Dead-stop titration

Dead-time compensation algorithm for closed-loop conversion

Dead-time compensation polymerization reactors

Dead-time dominant

Dead-time element

Dead-time plus capacity process

Dead-water flow

Dead-weight load

Dead-weight tester

Deadly

Deadly amanita

Deadly force

Deadly gas

Deadly introduction

Deadly nightshade (Atropa

Deadly nightshade berries

Deadly nightshade plant

Deadly nightshades

Deadly nightshades (Solanum

Detectors dead-time

Detectors viscometer, dead

Diethyl diazodicarboxylate (DEAD

Distance-velocity lag (dead time)

Distillation dead time

Dynamic dead space

Electron multiplier dead time

Enzyme dead-end complexes

Fights to Hide Data on Deadly Adverse Drug Effects

First-order Plus Dead Time System

Fluorous DEAD

Foundations dead load

Fractional dead time

Frog, dead

Instantaneous dead time

Instrument Dead Time

Integrator plus Dead Time System

Integrator plus dead time process

Israel Dead Sea

Jordan Dead Sea

Kinetic dead volume

LIVE/DEAD assay

Large dead volume union

Low dead volume union

Matter dead organic

Mean dead time

Mercury fulminate dead pressed

Mixed dead-end and product

Mixed dead-end and product inhibition

Nation of the dead

Necrotic dead tissue

Non-Ideal CSTR with Dead Zone and Bypass

Physiologic dead space

Piping dead legs

Plant dead volume

Point dead,definition

Point, dead

Process attributes: capacitance and dead time

Process capacity and dead time

Processes with Large Dead Time

Production of Dead-Burned Magnesia

Reactor model, dead-polymer

Reactor with dead polymer model

Reactors dead zones

Receiver dead time

Records of the dead

SUBJECTS dead space

Sample dead time

Sample dead water

Scintillation counter dead time

Simulated dead volume

Sound-deading

Stirred dead space

Stopped dead time

Stopped-flow dead time

Suppressor dead volume

System Dead Volume

Telechelic Oligomers Obtained by Dead-End Polymerization

The Amount of Dead Lithium and Cell Performance

The Column Dead Volume

The Dead-space Volume

The LC Column Dead Volume

Thermodynamics dead volume

Titration of thiosulphate with iodine (dead-stop end point)

Top dead center

Top dead centre

Using SERS to Distinguish between Live and Dead Bacteria

What Does Dead Mean

Workshop 3: Process capacity and dead Time

Zero dead volume

Zero dead volume union

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