School of Engineering Department of Mechanical and Aerospace Engineering 192 Sports Engineering: Experimental and Computational Characterization of the Aerodynamics by Badminton Shuttlecocks Supervisor: Stephane REDONNET / MAE Student: SRIVASTAVA Aryan / AE Course: UROP 1000, Summer Shuttlecocks are the projectiles used in game for badminton, with two types currently existing in the market: feather and synthetic. Flight performance differs between the two types, and extensive research is being carried out to reduce differences between feather and synthetic shuttlecocks. To this end, HKUST has an ongoing research programme designed to consolidate the differences between the two types of shuttlecocks. The current research focuses on building a 3-dimensional, 6 degree-of-freedom computer simulation of flight trajectories to use for comparison with future experiments. Current progress shows limited success in development of a 2-dimensional model, and future plans include complicating the governing equations of motion, as well as adding the 3rd dimension. Sports Engineering: Experimental and Computational Characterization of the Aerodynamics by Badminton Shuttlecocks Supervisor: Stephane REDONNET / MAE Student: YEUNG Yuk / AE Course: UROP 1100, Fall UROP 2100, Spring This study investigates the aerodynamics of feather and plastic badminton shuttlecocks through computational methods. Computational Fluid Dynamics (CFD) simulations in OpenFOAM were employed to evaluate static aerodynamic properties, with grid convergence tests identifying medium-density meshes as optimal for balancing accuracy (30–45% deviation from wind tunnel data) and computational efficiency. Static analyses of moments revealed comparable pitching and spinning trends between feather and plastic variants but significant discrepancies in yawing moments. The computational framework validated the use of CFD for characterizing shuttlecock aerodynamics and emphasized the need for refined mesh strategies. Future work will focus on implementing dynamic mesh techniques to simulate spinning motion with varying angles of attack to enhance predictive capabilities for aerodynamic optimization in sports engineering applications. Digitalization of Wet Lab Project Supervisor: YANG Jinglei / MAE Student: KU Wai Kwan / ELEC Course: UROP 1100, Fall In this Sustainable Smart Campus-related UROP project, I worked with the WeShare Technology team. The group aims to digitalize university laboratories and help them become smarter and more sustainable. Their IoT solution, the X-Tray system, combines the Internet of Things, AI, and blockchain technologies to automate inventory tracking. The system consists of a multitude of features which include reading the weight of the chemicals and storing the information in a database for chemical sharing. This report will present a simplified system that has data storage, deep sleep, sensor data reading, and transmitting capabilities and focus on the implementation of features.
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