DCU-Final-Year-Projects-Booklet-2025

103 213. Comparative Analysis of Striling Engine Configurations forWaste Heat Recovery This project investigates the performance of different Stirling engine configurations for waste heat recovery through computational simulations. Key design parameters, thermodynamic efficiency, and feasibility are analysed to optimise industrial energy usage. In the EU, over a quarter of industrial energy, approximately 600 terawatt-hours annually, is lost as waste heat. Recovering this energy enhances financial efficiency while reducing environmental impact. The study compares alpha, beta, and gamma Stirling engine configurations to evaluate their effectiveness in converting waste heat into usable power. The findings provide valuable insights into optimal design choices for maximising energy efficiency in industrial applications. Student Programme Mechatronic Engineering (Year 4) Project Area 3-DModelling, Control Systems, Energy Conservation, Mechanical Design and Manufacture, Renewable Energy Technology, Simulation, Thermodynamics Project Technology Matlab, Python, Solidworks Student Name(s) Cormac Fearon Email cormac.fearon4@mail.dcu.ie Supervisor Dr Pascal Landais 214. Sensor SystemDesign for HeadMotion Analysis During a Rally This project involves the development of a sensor system tomonitor the movement of a driver or navigator’s head during a rally stage. The system comprises two devices: one attached to the competitor’s helmet and the other to the rally car. These devices work in tandem tomeasure the accelerations and rotations of both the competitor’s head and the car. The sensor system includes a nine-degree-of-freedom inertial measurement unit (IMU), an Arduino Unomicrocontroller, an SD card reader, and a lithiumpolymer battery. Together, these components enable the system to operate remotely, measure acceleration and rotation, and store the data locally for analysis after the event. Student Programme Mechatronic Engineering (Year 5) Project Area Arduino, Data Analytics, Device Design, Information Retrieval, Internet of Things, Mechatronic Systems, Sensor Data, Sensor Technology, 3D Printing Project Technology C/C++, Solidworks Student Name(s) Coel Leonard Email coel.leonard32@mail.dcu.ie Supervisor Dr Leah Ridgway 215. Bridge: AWeb-Based PlatformDesigned toOptimise Cloud Configurations andMigrations Cloud computing represents amajor shift in IT service delivery and consumption. Bridge offers infrastructure recommendations, helping small companies migrate to the cloud within their constraints. Using infrastructure as code, it provides disaster recovery automation through Terraform scripts for resilient cloud deployment. Powered by amachine learningmodule trained on real-time performance data for cloud benchmarks and workloads, Bridge optimises cloud services tomeet business needs. This project aims to reduce the migration overhead and costs for small businesses, allowing them to fully benefit from the scalability of cloud providers, primarily AmazonWeb Services (AWS). At its core, this project bridges the gap between small companies and the expanding public cloud sector. Student Programme Computer Science Project Area Cloud Computing, Software Development, Web Application Project Technology Python, React.js, Machine Learning, AWS, Terraform, Perfkit Benchmarker , FastAPI, Firebase Student Name(s) Yana Koleva  |  Lakshita Dubey Email yana.koleva2@mail.dcu.ie   |  lakshita.dubey2@mail.dcu.ie Supervisor Dr Stephen Blott