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Aerodynamics and Design for Ultra-Low Reynolds Number Flight

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Chapter 4<br />

modeled as a Gaussian distribution that varies with <strong>Reynolds</strong> number, distance aft from<br />

the trailing edge, <strong>and</strong> distance above the trailing edge. This distribution is translated<br />

downward based upon the local helix angle <strong>and</strong> blade spacing. The viscous swirl<br />

velocity is then taken as the value of the Gaussian distribution at the intersection of the<br />

translated profile <strong>and</strong> the next blade’s leading edge. The velocity distribution takes the<br />

<strong>for</strong>m:<br />

There are several common problems with both of these models. Both treat each set of<br />

62<br />

----u<br />

=<br />

U ∞<br />

umid ---------<br />

U∞ (4.32)<br />

leading <strong>and</strong> trailing blade sections as if isolated from the rest of the rotor <strong>and</strong> operating<br />

in a uni<strong>for</strong>m free-stream. Applying either model only once cannot account <strong>for</strong> the<br />

coupled effect of each section on the total rotor system, but the models are unstable if<br />

applied iteratively in an attempt to account <strong>for</strong> the other blades. The additive effects<br />

continuously reduce the <strong>Reynolds</strong> number, increasing the viscous swirl component.<br />

Neither model can account <strong>for</strong> the combined effects of viscous entrainment <strong>and</strong> rotor<br />

downwash. The first model assumes no lift on the rotor, emulating the viscous<br />

properties of a spinning solid disk. The Gaussian distribution model incorporates the<br />

downwash, but since each pair of sections is treated in isolation there is no rotational<br />

flow entrainment permitted ahead of the leading blade (above the rotor). The sharp roll-<br />

off of the wake deficit velocity also makes the Gaussian model highly sensitive to the<br />

prescribed induced velocities. Once again, this model has proven to be unsatisfactory <strong>for</strong><br />

reasons to be discussed in Chapter 6.<br />

( y – µ ) 2<br />

– ⎞<br />

exp ------------------ ⎛<br />

⎠ ⎝ 2σ<br />

where σ is the st<strong>and</strong>ard deviation of the wake deficit <strong>and</strong> µ mean u ⎞ ⎛<br />

⎝ ⎠<br />

=<br />

-------<br />

U ∞

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