Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Flow dynamics

For characterization of polymer blends, low strain dynamic rheological measurements are preferred over steady-state shearing (e.g., in a capillary viscometer). Since [Pg.68]

The dynamic tests at small amplitude in parallel plates or cone-and-plate geometry are simple and reproducible. From the experimental values of storage and loss shear moduli, G and G , respectively, first the yield stress ought to be extracted and then the characteristic four material parameters in Eq. (2.13), rjo, r, mi, and m2, might be calculated. Next, knowing these parameters one may calculate the Gross frequency relaxation spectrum (see Eqs. (2.31) and (2.32)) and then other linear viscoelastic functions. [Pg.68]

The dynamic behavior of polymer blends under low strain has been theoretically treated from the perspective of microrheology. Table 2.3 lists a summary of this approach. These models well describe the experimental data within the range of stresses and concentrations where neither drop-breakup nor coalescence takes place. The two latter models yield similar predictions as that of Palierne. The last entry in the Table 2.3 is an empirical modification of Palieme s model by replacement of the volume fraction of dispersed phase by its efiective quantity (Eq. (2.24)), which extends the applicability of the relation up to 0 0.449. However, at these high concentrations the drop-drop interactions absent in the Palierne model must complicate the flow and coalescence is expected. The practical solution to the latter problem is compatibilization, but the presence of the third component in blends has not been treated theoretically. [Pg.68]

Pal [130] Concentrated Viscoelastic Deformable, polydispersed Glim,H)-,H=H Gl Gl,Rlvi2,4,ad [Pg.69]

There are two types of disparities between the steady-state and dynamic flow behavior, one related to the interlayer slip (Eq. (2.56)) and the second to the flow engendered migration of the low viscosity component to the high stress location. Blends of liquid crystal polymer (LCP) with polycarbonate (PC) or poly(ethylene-terephthalate) (PET) may serve as an example of the first type [321,322], whereas those of EPDM (ethylene-propylene-diene terpolymer) with poly(vinylidene-co-hexafluor-opropylene), Viton , exemplify the second [323-325]. In both cases the steady-state shearing was performed in a capillary viscometer- the viscosity ratio of the dynamic to the steady-state data for these two blends was about two and six, respectively. [Pg.70]


Recently it has been shown that rotating coiled columns (RCC) can be successfully applied to the dynamic (flow-through) fractionation of HM in soils and sediments [1]. Since the flow rate of the extracting reagents in the RCC equipment is very similar to the sampling rate that is used in the pneumatic nebulization in inductively coupled plasma atomic emission spectrometer (ICP-AES), on-line coupling of these devices without any additional system seems to be possible. [Pg.459]

To reduce pollution contamination, sensors or receptors installed m ducts or pipes are placed and installed after the filtration of the air or fluid. Sensors in pipes must be installed primarily in bends and in the direction against dynamic flow. At least two-thirds of the sensor pocket has to be in contact with the fluid. If the pipe diameter is less than the sensor length, the pocket can be installed at an angle less than 90° against the direction of flow to provide the necessary contact area. [Pg.779]

Sheikh, A.Y. and Jones, A.G., 1996. Dynamic flow sheet model for an MSMPR crystal-liser. In Industrial Crystallization 96. Ed. B. Biscans, Toulouse, Progep, 16-19 September 1996, pp. 583-588. [Pg.322]

The phase-field model and generalizations are now widely used for simulations of dendritic growth and solidification [71-76] and even hydro-dynamic flow with moving interfaces [78,79]. One can even use the phase-field model to treat the growth of faceting crystals [77]. More details will be given later. [Pg.879]

H. J. M. Kramer, J. W. Dijkstra, A. M. Neumann, R. O Meadhra, G. M. van Rosmalen. Modelling of industrial crystalhzers, a compartmental approach using a dynamic flow-sheeting tool. J Cryst Growth 755 1084, 1996. [Pg.932]

Notice that the only real dynamics going on here takes place between the A-units and R-units. The dynamical flow of information proceeds directly from input to output layers with no hidden units. We will follow the convention of calling perceptron models that have only input and output layers simple perceptrons. As we will shortly see, the absence of a hidden layer dramatically curtails the simple perceptron s problem solving ability. [Pg.513]

Relevant only for a small fuel time constant and under low pressure Various modes of dynamic flow redistribution Occurs with steam injection into vapor suppression pools Very-low-frequency periodic process (-0.1 Hz)... [Pg.487]

Check the onset of dynamic flow instability in the heated channel, if the flow is under supercritical pressure or in film boiling, by using Eqs. (6-1) and (6-18). [Pg.507]

Static(batch) and dynamic(flow) tests were carried out on toluene - extracted and peroxide - treated Wilmington oil field unconsolidated sands with dilute solutions of polyacrylamide (Dow Pusher-500) polymer in 1 wt% NaCl at 50° C and 1.5 ft./day, simulating reservoir temperature and flow rates. In the static tests, Ottawa sand, with particle size distributions similar to the Wilmington sand, were also used for comparison purposes. [Pg.245]

Such an idea was patented in 1981 (14). Besides research by Scamehom and Schechter (15) provided an experimental illustration of this by batch adsorption tests of kaolinite with some purified anionic/nonionic products. Our objective was to enlarge and test this technique under the dynamic flow conditions of industrial surfactant injection in an adsorbent porous medium. [Pg.282]

TABLE III Adscrpticn/Descrpticn Data From Dynamic Flow Tests... [Pg.284]

Because the CA are well suited to the description of temporal phenomena, it will be no surprise that an early application of CA in science was in hydro-dynamic flow. Wolfram, who has been an enthusiastic advocate of CA, has used them successfully in the simulation of turbulent flow — a demanding area for simulations of any type. Indeed, Wolfram s work covers a range of topics in physics and uptake of the method among scientists owes much to his work.4... [Pg.198]

The quantity Wt is the irreversible work done along a particular trajectory in time t, defined by Wt = f ) drrfyf ((r(r), t)/<)t. Because the system s Hamiltonian evolves at a finite rate, the dynamical flow of the system no longer preserves an equilibrium distribution. Moreover, Wt is a functional of the trajectory, rather than a function of the end points. [Pg.300]

That is, the total increase in entropy (which is a measure of disorder ) comes from heat transferred across the system boundary (Sq). However, a flowing fluid is in a dynamic, or irreversible, state. Because entropy is proportional to the degree of departure from the most stable (equilibrium) conditions, this means that the further the system is from equilibrium, the greater the entropy, so for a dynamic (flow) system... [Pg.114]

Identical olfactory neurons are located in different places in the cavity, and therefore occupy different positions in the flow path. By using a nasal cavity model, we investigated the influence of the dynamic flow on the sensors response14. The responses from identical fiber optic sensors located... [Pg.412]

Dynamic filters, 11 383-387 Dynamic flow calibration, 11 651-652 Dynamic gassing-in kLaL measurement method, 15 680-682... [Pg.296]

The solution CPPL spectrum of the polymer was also successfully obtained, using a home-constructed dynamic flow-through cell, so that multiple scans could be obtained to increase the signal/noise ratio. Ten scans were recorded and afforded a very similar, though noisier, CPPL profile to the aggregate case. [Pg.629]

We thus see that the motion of a real detonation front is far from the steady and one-dimensional motion given by the ZND model. Instead, it proceeds in a cyclic manner in which the shock velocity fluctuates within a cell about the equilibrium C-J value. Chemical reactions are essentially complete within a cycle or a cell length. However, the gas dynamic flow structure is highly three-dimensional and full equilibration of the transverse shocks, so that the flow becomes essentially one-dimensional, will probably take an additional distance of the order of a few more cell lengths. [Pg.300]

ISO/TR 5659-3 1999 Plastics - Smoke generation - Part 3 Determination of optical density by a dynamic-flow method... [Pg.178]

Fain. D. E. 1990. A dynamic flow-weighted pore size distribution. Proc. 1st Inti Conf. Inorganic Membranes, 1-5 July 1989, 199-205, Montpellier. [Pg.93]

Depending on meteorologic conditions, aerosol formation in the atmosphere is better approximated, but never fully simulated, by smog-chamber studies under either static (batch-reactor) or dynamic (flow-reactor) conditions. [Pg.66]

In this case the traveling time td of the marker relates to the hydro-dynamic flow velocity v at the applied pressure ... [Pg.43]

Fluid Mechanics or Dynamics (Flow of Liquids and Gases) and Hydraulics. [Pg.500]

The modeling of fluidized beds begins with the analysis of the two most important hydro-dynamic flow models presented by Davidson (Davidson and Harrison, 1963) and Kunii and Levenspiel (1968). [Pg.207]

Dynamic flow—an instrument is used to measure the time it takes a constant volume of material to flow through a fixed orifice (these instruments usually have mechanical vibrators on them). [Pg.242]


See other pages where Flow dynamics is mentioned: [Pg.225]    [Pg.524]    [Pg.154]    [Pg.235]    [Pg.552]    [Pg.299]    [Pg.11]    [Pg.328]    [Pg.442]    [Pg.443]    [Pg.269]    [Pg.28]    [Pg.39]    [Pg.145]    [Pg.183]    [Pg.331]    [Pg.410]    [Pg.321]    [Pg.560]    [Pg.2]    [Pg.191]    [Pg.225]    [Pg.94]    [Pg.112]   
See also in sourсe #XX -- [ Pg.19 , Pg.188 , Pg.191 ]

See also in sourсe #XX -- [ Pg.134 ]




SEARCH



Blood flow dynamics

Bubble Dynamics and Mass Transfer in Shear Flow

Chamber dynamic flow through

Chemically reactive flows, computational fluid dynamics

Coating flow dynamics

Complex flow patterns computational fluid dynamics

Computational flow dynamics

Computational fluid dynamic flow model

Computational fluid dynamic multiphase flows

Computational fluid dynamics laminar flows

Computational fluid dynamics stirred tank flow

Computational fluid dynamics turbulent flows

Computational fluid dynamics viscoelastic flow

Decay-type and Stable Reaction Dynamics in Flows

Distillation steam flow rate, dynamic

Dynamic Simulation of the Plug-Flow Tubular Reactor

Dynamic business flow management

Dynamic business flow management system

Dynamic cross-flow filter systems

Dynamic differential scanning calorimetry heat flow measurement

Dynamic flow diagram

Dynamic flow equilibrium

Dynamic flow experiments

Dynamic flow instability

Dynamic flow reactor

Dynamic flow tests, adsorption-desorption

Dynamic flow-through system

Dynamic flowing

Dynamic fractionation systems continuous-flow

Dynamic oscillatory flow

Dynamic pressure potential flow

Dynamic shear flow

Dynamic solids, flow pattern

Dynamic viscosity capillary-flow technique

Dynamical models, atmospheric flow modelling

Dynamics Diffusion, Flow and Velocity Imaging

Dynamics of Adiabatic Tubular Flow Reactors

Dynamics of Countercurrent-flow Fixed-bed Column

Dynamics of Polymeric Liquids in Extensional Flow

Flow Modelling using Computational Fluid Dynamics

Flow modeling, computational fluid dynamics

Flow pattern, contacting dynamic solids

Fluid flow dynamics

Fluid-flow conditions dynamics

Fracture-flow dynamics, analysis

Gas flow dynamic

Generation, dynamic flow reactor

High-flow dynamic headspace sampling

Oscillations, flow dynamic

Oxidation of Co EDTA silica under dynamic flow

Particle coating flow dynamics

Quantum energy flow dynamical corrections to RRKM from

Simple shear flow dynamic sinusoidal varying

System 1 Flow Dynamics of Gas-Liquid-Solid Fluidized Beds

The Dynamic Flow Equilibrium Approach to Life Processes

Tube flow dynamic force

Two-Phase Flow Models and Computational Fluid Dynamics

© 2024 chempedia.info