Wind Tunnel

Wind tunnels are controlled environments used to study the effects of airflow on objects, primarily for aerodynamic and aeroacoustic research. Current research focuses on improving measurement techniques, such as employing large-scale microphone arrays and advanced beamforming algorithms for precise noise source localization, and utilizing machine learning, including autoencoders and neural networks, to analyze complex flow data and predict aerodynamic forces from limited sensor inputs. These advancements enhance the accuracy and efficiency of wind tunnel experiments, impacting fields ranging from aircraft design and autonomous vehicle navigation to human-robot interaction studies and the understanding of human movement in airflow.