Libelle flight test: Computational Preparation using xflr5
I decided to make a quick investigation into performance enhancement of the design airfoil of the glider we’ll be flight testing in the coming weeks in xflr5.
Under some (hopefully reasonable) assumptions, here’s what I found:
Blue Line: Clean wing (free transition)
Yellow Line: Forced transition on lower surface only
Red Line: Forced transition on upper surface only
Green: Forced transition on both upper and lower surfaces
The forced transition points (x/c = 0.45 for the upper surface and x/c = 0.5 for the lower surface) were chosen based on the location of the evidence of a separation bubble on the pressure coefficient plots of the clean wing:
In terms of conclusions, these computations suggest that forcing a transition on the lower surface is significantly less important in these conditions than doing the same on the upper surface, particularly at lower speeds (higher angles of attack).
So this data seems to suggest that the most cost-effective course of action performance improvements is to install full-span turbulators at 45% chord on the upper surface and leave the lower surface alone (at a cost of ~$80).
Some limitations to this analysis:
1. The airfoil as manufactured likely differs a fair bit from the design foil, which could easily effect the location and/or significance of the bubbles, both top and bottom. Contemporary gliders from the manufacturer (Glasflügel) are known to exhibit this attribute (see “A Flight Test Evaluation of the Glasflügel 604″ by Dick Johnson in Soaring). Since we’re not really interested in sanding and reprofiling the leading edges of the wings of the glider, we’ll have to make due with the airfoil sections we have.
2. I’m not totally sure the assumptions I fed into xflr are correct. The polars were all generated using the XFOIL type 2 analysis, which (roughly) holds lift constant and varies angle of attack and Reynolds number in order to model an aircraft in steady flight at varying airspeeds. If the parameters I set this up with were computed incorrectly, these results could be meaningless.
Hopefully the data we collect in the coming weeks will validate (or invalidate in an insightful way) these computations!










