Engineering Technology: Statics and Dynamics

Build a camera-based slack monitor, calibrate it with load-cell data, and learn how vision measurements can track rope tension.

Design and test a self-righting rover, then use simulation and data analysis to improve stability, motion, and rough-terrain performance.

Compare wave springs and Belleville stacks, then measure chatter and surface roughness with accelerometer data and phone macro imaging.

Build a nesting optimizer and compare sheet-use efficiency against Deepnest using real cut lists, layout metrics, and statistical analysis.

Test roof coatings on shed models, log temperature changes, and build a CFD-backed heat-flux model for passive cooling.

Test how domain randomization improves drone attitude control by comparing sim-to-real performance, stability, and wind handling against PX4 PID.

Build a graph neural network that predicts truss stress, then test it against printed PLA structures and learn model validation and failure analysis.

Design, simulate, and test bridge trusses to compare predicted and real failure modes, while learning structural analysis and optimization.

Model wing flutter, test airspeed limits, and analyze mode shapes with Python and XFLR5 while building real aircraft stability skills.