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Phase II Final Report - NASA's Institute for Advanced Concepts

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Planetary Exploration Using Biomimetics<br />

An Entomopter <strong>for</strong> Flight on Mars<br />

From the plots, we notice that the thin airfoil generates a higher lift coefficient than the thick airfoil.<br />

Also, beyond an angle of attack of about 2 o , the drag coefficient begins to reduce.<br />

3.3.1.4 Refined Case Studies<br />

With the knowledge gained from the previous case studies, a new airfoil section was created <strong>for</strong><br />

further simulations. A thin cambered airfoil has the necessary low Reynolds number characteristics<br />

that can be used to advantage in MAVs. A circular arc airfoil with negligible thickness and a<br />

thin airfoil with an elliptical leading edge and a gradually tapering trailing edge, having the same<br />

camber as the first airfoil, were modeled. The choice of these two airfoil shapes, differing in<br />

thickness but identical in other respects, provided a means to evaluating further the effect of<br />

thickness on the low Reynolds number, unsteady flow field. The chord length (C) of the airfoils<br />

is 36.5 cm, and the maximum thickness of Airfoil 1 is 1.825 cm (0.05C).<br />

Seven cases were run with angle of attack ranging from 8.3 o to 45.79 o . CFD simulations were<br />

done at the conditions of the Mars environment, assumed to consist of CO 2 as given in<br />

Table 3-5.<br />

Lift and drag coefficients were determined from the simulations. C L values from the small-α<br />

simulations were compared to those from “lifting-line theory.” The close agreement between the<br />

C L values from the steady state simulations and the “lifting-line theory” served to validate the<br />

CFD procedure.<br />

Figures 3-63 and 3-64 show results from α = 8.31 o and Reynolds number = 9,600 simulations.<br />

Figures 3-63 and 3-64 show C L and c d variations, respectively, vs. time. The present-time accurate<br />

simulations, using a fine grid optimized <strong>for</strong> the geometry and flow conditions, capture the<br />

cyclical nature of lift and drag. The frequency of the <strong>for</strong>ce oscillations is related to the frequency of<br />

the LEV dynamics.<br />

Figure 3-65 shows velocity vector plot, and Figure 3-66 shows the static pressure contours.<br />

These results are based on a time-accurate solution with a step size of 0.001 s. Several interesting<br />

features were observed <strong>for</strong> this case. At regular intervals, the vortex <strong>for</strong>med at the leading<br />

edge stayed attached to the top surface, grew, and convected downstream. The lift showed a<br />

cyclical variation depending on the phase of the LEV. Results from several other cases not<br />

included in this report showed that the behavior of the LEV depends strongly on the Reynolds<br />

number.<br />

Table 3-6: Lift and Drag Coefficient Values<br />

Case Flow Time(s) C L C d<br />

1 1.5 2.44 0.486<br />

2 1.6 2.55 0.366<br />

3 1.7 2.80 0.360<br />

4 1.8 4.01 0.560<br />

86<br />

<strong>Phase</strong> <strong>II</strong> <strong>Final</strong> <strong>Report</strong>

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