DCU-Final-Year-Projects-Booklet-2025

84 156. IntegratedWireless Control of Multiple Olfaction Dispensers for an Improved AR Experience This project investigates the integration of olfactory stimulation into augmented reality (AR) environments by synchronizing virtual objects with real-world scent dispensers. Using Unity, users interact with virtual objects, such as a cookie, an apple, and perfume. When a user picks up an object andmoves closer, a wireless olfactory dispenser releases the corresponding scent. The system employs C# scripts to transmit HTTP requests, ensuring real-time synchronization. Performance metrics, including latency, throughput, and VR headset resource usage, are analyzed under various network conditions. This research enhances AR immersion and has potential applications in gaming, education, and therapeutic environments. Student Programme Electronic and Computer Engineering (Year 4) Project Area Android, Augmented Reality, Graphics, Software Development Project Technology C#, Python Student Name(s) Mahfujur Rahman Email mahfujur.rahman9@mail.dcu.ie Supervisor Prof Gabriel-MiroMuntean 157. FMU-BasedModel Predictive Control (MPC) for Thermal Energy Storage (TES) Optimal Control Within an Energy Network This project investigates the development of aModel Predictive Control (MPC) framework to optimise Thermal Energy Storage (TES) systems within sustainable energy networks. TES is critical for balancing energy supply and demand, improving efficiency, and integrating renewables. The project involves designing a system to store TES and network data, developing Functional Mock-Up Interfaces (FMUs) to simulate TES behaviour, and creating an optimisation framework usingmachine learning-based predictions. An algorithmgenerates control sequences, leveraging real-time data from sensors to ensure enhanced efficiency. Deliverables include a validated FMUmodel, a functional MPC framework, and a performance analysis demonstrating improved TES efficiency and renewable energy utilisation. Student Programme Mechanical and Sustainability Engineering (Year 5) Project Area Control Systems, Databases, Energy Conservation, Renewable Energy Technology, Sensor Technology, Simulation Project Technology Python, Machine Learning, OpenModelica Student Name(s) James Harte Email james.harte6@mail.dcu.ie Supervisor Dr Mohammad Saffari 158. Modelling of Transcatheter Aortic Valve Replacement (TAVR) This project investigates the computational modelling of Transcatheter Aortic Valve Replacement (TAVR), aminimally invasive procedure for treating aortic stenosis. By employing advanced simulation techniques, the study aims to enhance the predictive capabilities of TAVR procedures, improving patient outcomes and reducing procedural risks. The research integrates biomechanics, finite element analysis (FEA), and fluid-structure interaction (FSI) to analyse the mechanical interactions between the implanted valve and the aortic tissue. Through detailedmodelling and simulation, the project seeks to identify key factors influencing valve deployment, contributing to the development of more reliable preoperative planning tools, and optimising treatment strategies for patients undergoing TAVR. Student Programme Biomedical Engineering (Year 4) Project Area Biomedical Engineering, Finite Element Analysis, Simulation Project Technology ANSYSWorkbench, Solidworks Student Name(s) Giacomo Zeno Carniel Email giacomo.carniel2@mail.dcu.ie Supervisor Dr Antony Kho