Big Chemical Encyclopedia

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

Articles Figures Tables About

Newton region

For Reynolds numbers > 1000, the flow is fully turbulent. Inertial forces prevail and becomes constant and equal to 0.44, the Newton region. The region in between Re = 0.2 and 1000 is known as the transition region andC is either described in a graph or by one or more empirical equations. [Pg.317]

As the Reynolds number increases further, vortex shedding takes place (Figure 1.13) in what is known as the Newton region, in the range 500 < Re <2 X where the drag coefficient has a value of approximately 0.44. Consequently equation 1.28 gives the drag force as... [Pg.31]

Richardson (1971) summarises a mefhod of predicting minimum fluidizing velocify as a function of the terminal falling velocify of a particle. This requires the terminal falling velocify Ut to be expressed in terms of fhe Galileo number. Thus, treating the Stokes, transition and Newton regions in turn ... [Pg.37]

Finally, for the Newton region, at Reynolds numbers greater than... [Pg.38]

Finally, substituting = 0.44, for the Newton region the following relation is obtained ... [Pg.323]

The drag coefficients for disks (flat side perpendicular to the direction of motion) and for cylinders (infinite length with axis perpendicular to the direclion of motion) are given in Fig. 6-57 as a Function of Reynolds number. The effect of length-to-diameter ratio for cylinders in the Newton s law region is reported by Knudsen and Katz Fluid Mechanics and Heat Transfer, McGraw-Hill, New York, 1958). [Pg.677]

All other cases are between the extreme limits of Stokes s and Newton s formulas. So we may say, that modeling the free-falling velocity of any single particle by the formula (14.49), the exponent n varies in the region 0.5 s n < 2. In the following we shall assume that k and n are fixed, which means that we consider a certain size-class of particles. [Pg.1331]

It uses a linear or quadratic synchronous transit approach to get closer to the quadratic region of the transition state and then uses a quasi-Newton or eigenvalue-following algorithm to complete the optimization. [Pg.46]


See other pages where Newton region is mentioned: [Pg.153]    [Pg.298]    [Pg.91]    [Pg.322]    [Pg.31]    [Pg.715]    [Pg.717]    [Pg.727]    [Pg.735]    [Pg.737]    [Pg.153]    [Pg.298]    [Pg.91]    [Pg.322]    [Pg.31]    [Pg.715]    [Pg.717]    [Pg.727]    [Pg.735]    [Pg.737]    [Pg.522]    [Pg.6]    [Pg.2338]    [Pg.2349]    [Pg.304]    [Pg.405]    [Pg.18]    [Pg.66]    [Pg.309]    [Pg.1]    [Pg.422]    [Pg.677]    [Pg.678]    [Pg.678]    [Pg.257]    [Pg.271]    [Pg.272]    [Pg.1326]    [Pg.31]    [Pg.328]    [Pg.333]    [Pg.376]    [Pg.632]    [Pg.308]    [Pg.3]    [Pg.559]    [Pg.126]    [Pg.308]    [Pg.343]    [Pg.405]   
See also in sourсe #XX -- [ Pg.31 ]




SEARCH



The trust-region Newton method

Trust-region Newton method

Trust-region Newton optimization method

© 2024 chempedia.info