UROP Proceedings 2021-22

School of Engineering Department of Mechanical and Aerospace Engineering 161 Study of Flexible Wing Kinematics of a Free-flying and/or Controlled-flying Dragonfly Supervisor: QIU Huihe / MAE Student: YIU Kwan Ho / AE Course: UROP1100, Fall UROP2100, Spring Given the dragonfly’s wing mechanism has the advantages of the better energy efficiency, higher maneuverability and higher agility, the concept of the flapping wing has the potential to be put into the future flying machines. This study analyzes the kinematics of a controlled-flying dragonfly under side-wind conditions by observing the pattern of the generated aerodynamic force. From the experiment, it is found that the section lift coefficient of the wings on the side-wind side is lower than another side. Furthermore, the section lift coefficient of the forewings decreases with the stronger side wind, but the section lift coefficient of the hindwings does not vary with the side wind strength. Environmental Impact by Air Traffic: Assessing Aircraft Noise nearby HK Airport Supervisor: REDONNET Stephane / MAE Co-supervisor: HORNER Andrew / CSE Student: CHAN Ngai Nam / AE Course: UROP2100, Fall UROP3100, Spring This UROP work consisted in performing field test measurements of actual aircraft noise to validate a preexisting aircraft noise prediction algorithm developed at HKUST. To this end, the noise levels from various departure and approach flights were measured in two locations of Hong Kong city. This was achieved through three consecutive phases, namely 1) preparing the experimental acquisition, 2) conducting the actual field testing and 3) post-processing the noise signals. A total of 60 flights were recorded, with 6 different aircraft types considered. The noise data were then post-processed through specific manipulations, to derive specific relevant metrics, e.g. Sound Exposure Level (SEL), 1/3-octave frequency spectrums of SEL, Sound Pressure Level (SPL), etc. The results were then compared to those coming from the aircraft noise prediction algorithm, with a special focus put on 15 specific flights (mixing both A330-300 and B777-300ER aircraft). Comparison proved to be favourable enough, with both predicted and recorded noise levels falling in an acceptable range of a few dB (5 dB at most). This is encouraging if one considers how challenging it is to perform aircraft noise field testing with limited experimental means as the ones used here. This work was presented at the AIAA Region VII Student Conference 2021.