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Wolfram Summer School
7
Saulo da Paz Almeida
[WSS20] Nearest NACA Airfoil finder
Saulo da Paz Almeida, EESC - USP
Posted
8 months ago
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Greetings!
To achieve a satisfatory wing design can be a time-consuming task, due to the inumerous airfoil shapes an engineer need to compute before reaching desirable aerodynamical parameters. This project intends to develop an optimal solution, through machine learning methods, that finds a list of NACA airfoils which matches the physical characteristics, or the closest possible results within the Dataset.
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And their main characteristics were extracted from NACA’s reports, written in .csv archives and displayed as in the following dataset:
Returns the DataSet built throughout the project
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The outputs are a fast and resourceful way to first identify an airfoil’s characteristics, as follows in the example of an random airfoil analysed with the function. Although the values are probably less accurate than a simulation approach, and besides being a lot easier and faster to implement, they are a good comparing point, mainly for airfoils with less complex shapes, which can easily fit in the Dataset.
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Keywords
Airfoil
◼
Aerodynamics
◼
Acknowledgment
Mentor
: Daavid Väänänen
Jesse Galef
References
[1] Source: https://simple.wikipedia.org/wiki/Airfoil#/media/File:Wing_profile_nomenclature.svg
◼
Gudmundsson, Snorri. General aviation aircraft design: Applied Methods and Procedures. Butterworth-Heinemann, 2013.
◼
Abbott, Ira H., Albert E. Von Doenhoff, and Louis Stivers Jr. “Summary of airfoil data.” (1945).
◼
Abbott, Ira H., and Albert E. Von Doenhoff. Theory of wing sections: including a summary of airfoil data. Courier Corporation, 2012.
◼
POSTED BY:
Saulo da Paz Almeida
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