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Accelerator models

Thus, the conditional acceleration model can be developed by considering only the PDF transport equation for /u 28... [Pg.274]

We shall see that a conditional acceleration model in the form of (6.48) is equivalent to a stochastic Lagrangian model for the velocity fluctuations whose characteristic correlation time is proportional to e/k. As discussed below, this implies that the scalar flux (u,

joint velocity, composition PDF level, and thus that a consistent scalar-flux transport equation can be derived from the PDF transport equation. [Pg.277]

As noted earlier, the extension of the conditional acceleration model in (6.48) to the joint velocity, composition PDF is trivial ... [Pg.277]

Notice also that although the methods, compute-nonbonded-strain and compute-torsional-strain were inherited by cyclic-aliphatic, more sophisticated versions of these methods were supplied to cyclic-aliphatic. This would have been unnecessary if the original versions of these methods supported fully all cyclic configurations (i.e., a robust method given at any ring configuration). We have found that the ability to incrementally improve methods accelerates model development. [Pg.39]

In this lecture, we have tried to summarize the importance of accurate measurements of the cosmic-ray composition in order to understand the nature of the cosmic-ray source. We recall that the discovery of the decrease of the relative abundance of secondary cosmic rays at high energies, i.e., the energy dependence of the propagation pathlength A(E), came as a complete surprise in the early 1970 s. However, this discovery provided major observational support to supernova shock acceleration models which, a few years later, predicted that the cosmic-ray sources should be characterized by relatively hard energy spectra. [Pg.324]

In order to complete our discussion on momentum transfer, we must consider the final forms of the mesoscale acceleration models in the presence of all the fluid-particle forces. When the virtual-mass force is included, the mesoscale acceleration models must be derived starting from the force balance on a single particle ... [Pg.175]

As can be seen from Eq. (5.100), the virtual-mass force reduces the drag and lift forces by a factor of 1 /y. The buoyancy force is not modified because we have chosen to define it in terms of the effective volume Vpy. We remind the reader that the mesoscale acceleration model for the fluid seen by the particle A j must be consistent with the mesoscale model for the particle phase A p in order to ensure that the overall system conserves momentum at the mesoscale. (See Section 4.3.8 for more details.) As discussed near Eq. (5.14) on page 144, this is accomplished in the single-particle model by constraining the model for Apf given the model for Afp (which is derived from the force terms introduced in this section). Thus, as in Eqs. (5.98) and (5.99), it is not necessary to derive separate models for the momentum-transfer terms appearing in Apf. [Pg.177]

Tenneti, S., Fox, R. O. Subramaniam, S. 2012 Stochastic acceleration model for gas-solid flows at moderate Reynolds numbers. Journal of Fluid Mechanics (submitted). [Pg.482]

Radiation Source. The source of radiation is a Mullard 4.3 Mev. electron accelerator, Model SL 46, which produces 1.6 fxsec. duration pulses at up to 250 mA, with repetition rates varying from a single pulse to 400 pulses per second. [Pg.449]

Regardless of breakup morphology, [17] demonstrated that early drop motion obeys a constant acceleration model. Therefore, (6.6) and (6.8) can be applied directly to the calculation of the initial drop trajectory. However, (6.7) requires modification for the case of non-Newtonian liquids. Unfortunately, experimental deformation data is currently unavailable. Analytical models, such as the TAB model or its derivatives, discussed in Chap. 7, could be modified to include purely viscous or viscoelastic non-Newtonian effects. However, this has yet to be done and as a result the accuracy of such a modification is unknown. [Pg.154]

In general, the acceleration model shonld be based on the rate-controlling step in the failnre process. In some cases, the rate will be determined by an Arrhenius type equation for example, if diffnsion is the rate-controlling process ... [Pg.1354]

Note that even when temperature is an important factor, an Arrhenius relationship may not exist in the preceding thermal cycling example, the failure rate is roughly proportional to ATf. Some acceleration models will be explored in the following sections. [Pg.1354]

The limits of applicability of an acceleration model are as important as the model itself. Increasing or decreasing the temperature too much may promote new failure modes that would not occur in service or invalidate the quantitative acceleration relationship. For example, if the temperature is elevated above the Tg of the board, the z-axis CTE increases sharply and the modulus decreases, which may actually lessen the strains imposed on solder joints, but may also promote PTH failures. [Pg.1354]

Finite element modeling (FEM) can be invaluable in developing and/or applying acceleration models for thermal and mechanical tests. Two-dimensional nonlinear modeling capability will usually be required in order to get meaningful results. Models can be constructed to estimate the stresses and strains in the material (e.g., the Cu in a PTH barrel or the solder in a surface-mount or through-hole joint) under operating conditions as well as under test conditions. These estimates will be far more accurate than the simple models provided in this overview because they can account for the interactions between materials in a complex structure and both elastic and plastic deformation. [Pg.1354]


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See also in sourсe #XX -- [ Pg.186 ]




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Accelerated failure time model

Accelerated testing and statistical lifetime modeling

Accelerating models

Acceleration consistent model

Acceleration deterministic model

Acceleration stochastic model

Conditional acceleration models

Final expressions for the mesoscale acceleration models

Mesoscale model acceleration

Stochastic process acceleration model

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