Study conducted by researchers is developing an artificial intelligence system capable of increasing the effectiveness of technologies that manipulate airflow on airplane wing surfaces.
An artificial intelligence system is being studied to reduce the number of problems related to turbulence in airplanes. The AI was developed to respond to intense airflows that destabilize aircraft.
The study, published in the scientific journal Nature, was conducted by researchers from the KTH Royal Institute of Technology in Sweden and the Barcelona Supercomputing Center in Spain.
The system uses machine learning, which adapts to airflow based on previous experiences.
Turbulence occurs when the air moves over the surface of the wing without following its shape, creating a phenomenon called flow separation.
“This usually happens when the wing is at a high angle of attack, or when the air slows down due to increased pressure,” explains Ricardo Vinuesa, one of the authors of the paper.
“When this happens, lift decreases, and drag increases, which can lead to a stall and make the aircraft harder to control,” Vinuesa continued.
The researchers report that the artificial intelligence system can reduce turbulence by 9%.
“This study highlights how important AI is for scientific innovation.” “It offers exciting implications for aerodynamics, energy efficiency, and next-generation computational fluid dynamics,” said Vinuesa.
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