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Aerodynamics and Design for Ultra-Low Reynolds Number Flight

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Chapter 4<br />

lift distribution, <strong>and</strong> rotational speed are treated as the free design variables with the<br />

primary constraint that the power required matches the motor's power available. The<br />

motor model is flexible in that the code requires a user supplied subroutine that returns<br />

the power available <strong>for</strong> a given RPM. The overall structure is pictured in Figure 4.7.<br />

As mentioned earlier, the analysis mode is a different problem <strong>and</strong> requires the ability to<br />

input only the geometry of the rotor, chord distribution, incidence, <strong>and</strong> the rotor speed.<br />

Rather than create a second iterative rotor analysis code <strong>for</strong> this problem, this case is also<br />

solved using the same rotor analysis code <strong>and</strong> non-linear optimizer, but the problem<br />

posed to the optimizer is modified. The specified incidence angle at each station is<br />

treated as an equality constraint. This drives the geometry to the specified incidence<br />

angles. The optimal solution that satisfies the incidence constraints provides the correct<br />

lift distribution <strong>for</strong> the analysis of rotor per<strong>for</strong>mance. With RPM as an input, the<br />

constraint on the power required is removed. It is assumed in the analysis mode that the<br />

case represents a realizable operating point. The design code produces an optimal<br />

solution at a single operating point. The analysis code allows these solutions to be<br />

evaluated over a range of operating conditions. It also provides a means of validating the<br />

method by comparing predicted per<strong>for</strong>mance with experimental results <strong>for</strong> existing<br />

rotors <strong>and</strong> propellers. The next chapter discusses the effectiveness of the various<br />

enhancement models <strong>and</strong> the validation of the overall method.<br />

72

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