Big Chemical Encyclopedia

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

Articles Figures Tables About

Velocity function

It is convenient to analyse tliese rate equations from a dynamical systems point of view similar to tliat used in classical mechanics where one follows tire trajectories of particles in phase space. For tire chemical rate law (C3.6.2) tire phase space , conventionally denoted by F, is -dimensional and tire chemical concentrations, CpC2,- are taken as ortliogonal coordinates of F, ratlier tlian tire particle positions and velocities used as tire coordinates in mechanics. In analogy to classical mechanical systems, as tire concentrations evolve in time tliey will trace out a trajectory in F. Since tire velocity functions in tire system of ODEs (C3.6.2) do not depend explicitly on time, a given initial condition in F will always produce tire same trajectory. The vector R of velocity functions in (C3.6.2) defines a phase-space (or trajectory) flow and in it is often convenient to tliink of tliese ODEs as describing tire motion of a fluid in F with velocity field/ (c p). [Pg.3055]

In consequence, the statistical characteristic temperature of relic radiation is fully determined in terms of relativistic invariant spectrum of the cosmic microwave background radiation and the distribution velocity function of radiating particles, i.e., is described with the following expression (compare with the results of reference (Einstein, 1965))... [Pg.168]

There is not an analytical velocity function for the y-direction velocity at the flights, so the wide channel approximation is used for demonstration purposes with a pressure gradient of zero. Using the equation developed previously for screw rotation for a very wide shallow channel, the transformed Lagrangian form of is the same as the laboratory form for barrel rotation and is as follows ... [Pg.294]

The pressure term is eliminated using the mass balance from Eq. 7.12. Upon Integration the velocity function for the x direction is as follows ... [Pg.735]

This relates the motion of step n to velocity functions / of the widths of the terrace in front [/+(w )] and behind f- (w ., )] the moving step. A straightforward linear stability analysis of (11) around the uniform step train configuration with terrace width w shows that if... [Pg.210]

Using Eq. (6) this can be written in the 2D velocity function form originally suggested by KW ... [Pg.211]

U. In huid mechanics, this family of helds is known as a complex laminar how, where the velocity function is laid down under the form U = , which implies the condition U VA U = 0. We remind our readers here that laminar hows are known to verify the condition V A U = 0. Another example might be helpful. Consider now the case of the vector potential A (4. t) which has a single component along the x axis ... [Pg.566]

In all the above derivations in this section, the influence of viscosity is neglected so that analytical solutions for velocity and pressure profiles can be obtained. When the viscosity of fluid is taken into account, it is difficult to obtain any analytical solution. Kuts and Dolgushev [35] solved numerically the flow field in the impingement of two axial round jets of a viscous impressible liquid ejected at the same velocity from conduits with the same diameter and located very close to each other. The mathematical formulation incorporated the complete Navier-Stokes equations transformed into stream and velocity functions in cylindrical coordinates r and z, with the assumption that the velocity profiles at the entrance and the exit of the conduit were parabolic. The continuity equation is given by Eq. (1.22) and the equations for motion in dimensionless form are ... [Pg.31]

A simple computer program. RECDUCT, written in FORTRAN that implements the procedure outlined above is available as discussed in the Preface. Ovkr-relaxation is used in this program, i.e., if is the new value of the velocity function given by Eq. (4.111), the actual new value is taken to be ... [Pg.187]

The mechanical properties of polymers are controlled by the elastic parameters the three moduli and the Poisson ratio these four parameters are theoretically interrelated. If two of them are known, the other two can be calculated. The moduli are also related to the different sound velocities. Since the latter are again correlated with additive molar functions (the molar elastic wave velocity functions, to be treated in Chap. 14), the elastic part of the mechanical properties can be estimated or predicted by means of the additive group contribution technique. [Pg.383]

If the velocity profile were known, the appropriate function could be inserted in Eq. (5-17) to obtain an expression for the boundary-layer thickness. For our approximate analysis we first write down some conditions which the velocity function must satisfy ... [Pg.220]

If the same procedure were followed at this point as in Sec. 5-6, the temperature and velocity functions given by Eqs. (12-19) and (12-29) would be inserted in (12-27) in order to arrive at a differential equation to be solved for 5 the thermal-boundary-layer thickness in the presence of the magnetic field. The problem with this approach is that a nonlinear equation results which must be solved by numerical methods. [Pg.606]

In Eq. (2.3), we have a simple steady-state shearing flow with the velocity function ofy alone. In more complicated flows, we need the velocity components in three directions and with time, and in Cartesian coordinates we have... [Pg.57]

In general 4>i will also depend on time in such a case one must specify not only (r.t), but also a corresponding velocity function v(r,t) to describe a process. There do exist cases where one wishes to treat the evolution of a system in a restricted interval of time. If it so happens that the properties of the subsystems remain unaltered, and only the characteristics of the surroundings change, then the various 4>t remain independent of t in the time interval under study and the system is said to have reached steady state conditions. A more precise specification of this state is furnished in Section 6.4. [Pg.534]

Note that in the surface intergral, we mentioned a function that applies on the surface of the solid. To have a visualization of this concept, consider a tank with water entering and leaving it. The function that would apply on the surface of this tank could be the velocity of the water that enters it and the velocity of the water that leaves it. (The places where the water enters and leaves the tanks are surfaces of the tank, where holes are cut through for the water to enter and leave. The other portions of the tank would not be open to the water thus, no function would apply on these portions.) The surface integral could then be applied to the velocity functions upon entry and exit of the water. [Pg.78]

At this point it should be kept in mind that S is an unknown function of x. The velocity function, Vx(x, y), is expressed in terms of the unknown function S(x). The main advantage of the integral method is that it is easier to obtain a solution for S x) than to solve the Navier Stokes equations for Vx x,y). A drawback is that we are using an approximate velocity field which to some extent reduces the accuracy of the result. [Pg.620]

Equation (3-10), which we have derived from the Navier-Stokes equations, governs the unknown scalar velocity function for all unidirectional flows, i.e., for any flow of the form (3-1). However, instead of Cartesian coordinates (x, y, z), it is evident that we could have derived (3-10) by using any cylindrical coordinate system (q, 1/2, z) with the direction of motion coincident with the axial coordinate z. In this case,... [Pg.114]

The other term that is calculated explicitly but does not match is the constant 1.138 from the leading-order boundary-layer approximation to the normal velocity function. Matching requires a term of 0( 1), independent of Re, on the right-hand side of (5-212). This can... [Pg.342]

Show that the pressure and velocity functions defined by... [Pg.523]

In other words, the pressure distribution in the boundary-layer is completely determined at this level of approximation by the limiting form of the pressure distribution impressed at its outer edge by the potential flow. It is convenient to express this distribution in terms of the potential-flow velocity distribution. In particular, let us define the tangential velocity function ue(x) as... [Pg.707]

The potential-flow solution for streaming motion past a circular cylinder was obtained earlier and given in terms ofthe streamfunctionin(10-17). To calculate the pressure gradient in the boundary layer, we first determine the tangential velocity function, ue, as defined in (10-37) ... [Pg.726]

The velocity function ue(x) and the pressure gradient dp/dx are sufficient to completely specify the boundary-layer problem, but it is of interest to compare the predicted pressure distribution on the cylinder surface with experimentally measured results, and for this purpose it is convenient to proceed one step beyond (10-123) to calculate p. To do this, we integrate with respect to x,... [Pg.727]

We begin by noting that the velocity function ue(x) can be expressed, for any cylindrical body that has a stagnation point at x = 0 and is symmetrical about an axis parallel to the free stream, in the general form... [Pg.728]

Ur Molar Rao function (also known as the "molar sound velocity function"). [Pg.32]

A method used to calculate B(T) [7] (not favored by us, and presented here mainly for historical reasons) utilizes relationships between the bulk modulus B, the density p, and the velocity of acoustic (sound) waves in materials. B(T) is approximately equal to the product of the density with the sixth power of the ratio (UR/V), where UR is the molar Rao function (or the molar sound velocity function). UR is independent of the temperature. In the past, it has also been found to be useful in predicting the thermal conductivity (Chapter 14). [Pg.416]

It is evident that the velocity function with respect to a is parabolic, with maximum velocity where a = 0. [Pg.63]

In section 3.3.2 we discuss rigidly rotating wave solutions for autonomous velocity functions U = U k) see also [32, 43] for earlier partial analysis of the affine case U k) = c — Dk. In section 3.3.3 we discuss the k-independent, but forced, eikonal case U = U t) = c t) to obtain meanders, drifts and superspiral patterns in the kinematic setting. [Pg.93]


See other pages where Velocity function is mentioned: [Pg.105]    [Pg.70]    [Pg.209]    [Pg.210]    [Pg.212]    [Pg.212]    [Pg.213]    [Pg.214]    [Pg.215]    [Pg.871]    [Pg.371]    [Pg.181]    [Pg.380]    [Pg.513]    [Pg.288]    [Pg.842]    [Pg.69]    [Pg.139]    [Pg.882]    [Pg.1220]    [Pg.93]   
See also in sourсe #XX -- [ Pg.260 ]




SEARCH



Angular velocity correlation function

Angular velocity correlation function equation

Autocorrelation function angular velocity

Brownian motion velocity correlation function

Correlation functions scalar-velocity

Correlation functions velocity

Correlation functions velocity autocorrelation function

Density functions velocity

Diffusion velocity correlation function

Distribution function of velocities

Electron velocity distribution, function

Fourier transform, velocity autocorrelation function

Function, sinusoidal velocity

Impact Velocity as a Function of Explosive Length

Maxwell velocity distribution function

Maxwell velocity distribution function average

Mechanical energy efficiency as a function of roll velocity

Molecular angular velocity autocorrelation function

Molecular dynamics velocity correlation function

N.M.R. measurements of reaction velocities and equilibrium constants as a function

NMR measurements of reaction velocities and equilibrium constants as a function

NMR measurements of reaction velocities and equilibrium constants as a function temperature

Pair correlation function velocity

Probability density distribution function for velocity fluctuation

Quantum diffusion velocity correlation function

Reaction velocities and equilibrium constants, N.M.R. measurements function of temperature

Relative velocity distribution function

Results for the Velocity Autocorrelation Function

Scalar velocity potential functional form

Scattering cross section velocity distribution function

Sound velocity air, as function of temperature

Sound velocity atmosphere, as function of altitude

Spin-velocity density function

Stress Growth at Inception of Ramp-Function Velocity Gradient

Temperature, N.M.R. measurements of reaction velocities and equilibrium constants as a function

The Velocity Autocorrelation Function of a Dense Fluid

The velocity autocorrelation function

Velocity as function

Velocity auto-correlation function

Velocity autocorrelation function

Velocity autocorrelation function , mode

Velocity autocorrelation function , mode dynamics

Velocity autocorrelation function , mode results

Velocity autocorrelation function VACF)

Velocity autocorrelation function water

Velocity correlation function Langevin model

Velocity correlation function calculation

Velocity correlation functions, time behavior

Velocity distribution function

Velocity probability density function

Velocity time correlation functions

Velocity, constant distribution functions

© 2024 chempedia.info