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Handbook of Turbomachinery Second Edition Revised - Ventech!

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It should be noted that the effects <strong>of</strong> the extra terms depend on the spatial<br />

gradients <strong>of</strong> the unsteady disturbances (not just their absolute magnitudes).<br />

Also note that the pressure term remains unchanged since it is linear. Thus,<br />

an unsteady flow with large velocity fluctuations (e.g., unsteady vortices) is<br />

likely to be have more significant effect on the time-averaged flow than one<br />

with mainly pressure fluctuation (e.g., pressure waves). Clearly, the timeaveraged<br />

results <strong>of</strong> an unsteady flow cannot be obtained by simply solving<br />

the steady flow equations.<br />

The most common and probably most complicated type <strong>of</strong> unsteady<br />

flows is ‘‘steady’’ turbulent flows. It is somehow ironic that we hear much<br />

more about how turbulence affects our ‘‘steady’’ flow results than we do<br />

about a periodic unsteadiness. In a case <strong>of</strong> a turbulent flow, the extra terms<br />

(e.g., ru 0 v 0 in a 2D case) are the turbulence (Reynolds) stress terms, which<br />

need to be closed by turbulence modeling in one form or another. The basic<br />

mechanism to generate turbulence stress terms is exactly the same as what is<br />

illustrated above using the 1D flow equations, i.e., by the nonlinearity <strong>of</strong> the<br />

inviscid part <strong>of</strong> the equations. The only difference is that the Reynolds<br />

stresses are generated by essentially random unsteadiness, while for the cases<br />

we consider here, the stresses terms are generated by unsteadiness with<br />

distinctive frequencies, and for this reason they are called deterministic<br />

stresses as cast in the framework for blade-row interactions by Adamczyk<br />

[20].<br />

Likewise, an appreciation <strong>of</strong> the effects <strong>of</strong> turbulence is helpful in<br />

identifying those <strong>of</strong> a periodic unsteadiness on time-averaged flows. For<br />

instance, we know that magnitudes <strong>of</strong> turbulence fluctuations are generally<br />

much smaller than an averaged flow velocity. It is therefore not surprising<br />

that a periodic unsteadiness with a small magnitude could have a significant<br />

effect on a time-averaged flow. In general, as far as a time-averaged flow is<br />

concerned, periodic unsteadiness might be regarded as ‘‘regular turbulence.’’<br />

The main difference is that the extra terms due to periodic disturbances can<br />

be directly evaluated by unsteady flow calculations or modeling with less<br />

uncertainties than conventional turbulence modeling for the Reynolds stress<br />

terms.<br />

Here are some simple examples concerning the loss associated with a<br />

periodic unsteady flow. Firstly, consider a shock wave in a quasi 1D duct<br />

flow (Fig. 15). In asteady flow situation with fixed upstream conditions, the<br />

solution <strong>of</strong> the shock wave (position, strength, and entropy rise, etc.) is<br />

determined by the downstream static pressure P2. Now the shock wave is<br />

made to oscillate by the downstream static pressure changing in the<br />

following form:<br />

P ¼ P2 þ Am sinðot þ fÞ ð16Þ<br />

Copyright © 2003 Marcel Dekker, Inc.

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