DCU-Final-Year-Projects-Booklet-2025

47 45. Experimental and Finite Element Analysis of Snap-Fit Connectors This project examines the accuracy of the finite element method in predicting the mechanical performance of various snap-fit connector geometries, focusing on insertion and retention forces. An FE model was developed in AnsysWorkbench to simulate stress distributions and failure modes, with results validated through physical testing using a custom jig, 3D-printed snap-fits, and a load cell-equipped machine. The study investigates key variables affecting accuracy, such as material properties andmesh refinement. Experimental results are compared against FEA predictions and existing literature to assess numerical reliability. The research aims to determine howwell FEA replicates real-world behaviour, identify factors causing deviations, and evaluate the reliability of previous studies. Student Programme Mechanical andManufacturing Engineering (Year 5) Project Area 3-DModelling, AdditiveManufacturing, Finite Element Analysis, Mechanical Design andManufacture, Simulation, Materials Testing Project Technology ANSYSWorkbench, Excel/VB, Solidworks, testXpert 3 Student Name(s) EoinMcCann Email eoin.mccann9@mail.dcu.ie Supervisor Dr BryanMacDonald 46. Smart Turn Smart Turn is an IoT device presenting users with a safe and convenient alternative for manoeuvring their way around a city via bicycle or scooter. Users are presented with amountable digital display that displays route directions alongside turn signal status, while a capacitive touch sensor allows the user to switch on a vest-mounted LED turn signal that notifies other road users of their intended direction. It has been built using an Arduino Uno, Flora, Adafruit Display, Bluetooth modules for communication, and a Capacitive Touch Sensor. Student Programme Computer Science Project Area Arduino, Embedded Systems, GPS/GIS, Internet of Things, Mobile App, Sensor Data, Software Development, Wearable_Technology, Wireless Technology, BLE Project Technology C/C++, Docker, Flutter and Jenkins Student Name(s) Josh Casey  |  Jakub Czerniejewski Email josh.casey24@mail.dcu.ie   |  jakub.czerniejewski2@mail.dcu.ie Supervisor Dr David Sinclair 47. Carbon Capture Using PDMS CO 2 levels have risen at an extraordinary rate, currently sitting around 420 PPM. This project examines the use of polydimethylsiloxane (PDMS) membranes for carbon dioxide (CO 2 ) capture as a potential solution to the climate crisis. PDMS, known for its high CO 2 permeability, low cost, and chemical stability, is tested using a rig with amembrane holder, T-junction piping, and an infrared sensor tomonitor CO 2 levels. Air is pushed through the membrane, and CO 2 concentration is measured to assess performance. The project aims to establish proof of concept, evaluate scalability, and compare this method with other capture technologies. It concludes with recommendations for further research and the potential of PDMS in large-scale carbon capture. Student Programme Mechanical and Sustainability Engineering (Year 5) Project Area 3-DModelling, Device Design, Materials Testing Project Technology C/C++, Solidworks Student Name(s) Jovan Traljic Email jovantraljic1@gmail.com Supervisor Dr David Kinahan