Aeronautical engineering internships

Supervisor: Dr Morgan Li, Dr Kapil Chauhan

Eligibility: WAM>75 and Undergraduate candidates must have already completed at least 96 credit points towards their undergraduate degree at the time of application.

Project Description:

Over 14 million tonnes of microplastics have accumulated on the world’s ocean floor, and the growing ubiquity of these pollutants threatens our fragile aquatic ecosystems, raising significant concern. This project aims to investigate the transport of microplastic particles in complex turbulent flows through laboratory experiments.

You will have the opportunity to conduct water tunnel experiments to generate high-quality datasets for particle transport and flow field characterisation. You will also develop algorithms to analyse the motion of microplastic particles.

The outcome of this project is expected to eventually contribute to more informed pollution control and ecosystem protection strategies.

Requirement to be on campus: Yes *dependent on government’s health advice.

Supervisors: Dr Zihao Wang, Dr KC Wong

Eligibility: WAM > 75, advanced understanding of computer vision, experience in Python, YOLO packages, data labelling

Project Description:

Bird strike is one of the most common aviation incidents that can sometimes lead to serious damage and accidents. The most recent example is the Jeju Air Flight 2216 that caused the loss of 175 passengers and 4 crews. Early warning about potential bird strikes can be issued to pilots if birds near the runway can be detected and monitored.

The project aims to investigate the system requirements for a bird detection system for a small general aviation aerodrome using computer vision model based on Flow Guided Feature Aggregation implemented on Pan-Tilt-Zoom cameras.

The student will be provided with an existing computer vision model and is expected to improve the model for bird and potentially other runway incursion. The student will also investigate the optimal camera positioning based on the field-of-view and range specifications. The goal is to validate the system at the Bankstown Airport.

Requirement to be on campus: Yes *dependent on government’s health advice.

Supervisors: Dr Zihao Wang, Dr KC Wong and A/Prof Nicholas Lawson

Eligibility: WAM > 75, advanced understanding of flight mechanics

Project Description:

Flight simulators allow pilots to experience emergency and high-performance manoeuvres without risk. More accurate and realistic simulation would enhance training realism and perception of motion making it for effective in preparing pilots.

This project aims to investigate bridging the gap between simulated sensations and what would be realistic through improvements in motion cueing using optimised washout algorithms and enhanced acceleration tracking to reduce discrepancies between perceived and actual forces. The student is expected to work closely with the supervisors on the School of AMME’s NOVA Eight360 flight simulator system. To validate the proposed improvements, an experienced pilot will be invited to test the flight simulator and provide feedback on the G-Force sensation.

Requirement to be on campus: Yes *dependent on government’s health advice.