School of Engineering Department of Mechanical and Aerospace Engineering 167 Active Support to Experimental Studies for Research in Aero-acoustics Supervisor: REDONNET Stephane / MAE Student: YEUNG Siu Ting / AE Course: UROP 2100, Fall UROP 3100, Spring Within the context of sport engineering, this UROP project consisted in characterizing the aerodynamics of badminton shuttlecocks, whether natural (feather) or synthetic (plastic). To this end, an extensive experimental test campaign was conducted using HKUST’s small-scale, closed-vein aerodynamic wind tunnel. A total of six shuttlecock models were tested over a wide range of operating conditions (flow speed and incidence), which encompassed alternative settings (modified shuttlecock and/or mounting conditions). Upon specific post-processing, the test results were thoroughly analysed, with special attention paid to the aerodynamic features of the shuttlecock models (lift and drag coefficients, spinning rate, etc.). The study and its findings were documented through a research paper, which is under preparation for a subsequent submission to a scientific journal. Figure. Experimental characterization of the aerodynamics of badminton shuttlecocks. Natural and synthetic shuttlecock models (left), and their installation within the wind tunnel (right). Smart Cushion Supervisor: YU Hongyu / MAE Student: WUN Ga Yun Esther / MECH Course: UROP 4100, Fall UROP 4100, Spring Flexible pressure sensors are becoming increasingly popular for human health monitoring. The miura-ori microstructure-enhanced flexible piezoresistive pressure sensors have been integrated into a 3×3 sensor array, and have been applied to a smart cushion to monitor sitting positions. Seven sitting positions were recorded when sitting on the sensor array, and machine learning techniques were used to identify the sitting positions based on the feedback from the sensor array. The random forest classifier model has achieved a high overall accuracy of 92.76%, and comparison with other models has been done. Further work includes the collection of more datasets and the improvement of accuracy of the machine learning models.
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