DCU Expo 2024 - Final Year Projects

87 171. RoadReady Get ready to transform how people learn to drive with RoadReady. Our app redefines driver education, preparing learners for their tests and beyond. Our mission is to empower learner drivers to ace their tests and hit the road with confidence. Real-time navigation, custom routes, theory mastery, mock tests, and engaging learning tools all in one app. Safer roads, personalised learning, and a confidence boost await. Join us on this journey toward safer, more skilled drivers. RoadReady – where knowledge meets the open road. Student Programme Enterprise Computing Project Area Android, Automotive Technology, Databases, Educational, Information Retrieval, Mobile App, Multimedia, Statistical Analysis Project Technology CSS, HTML5, JavaScript, Nodejs, React.js, Expo-go, Firebase, React Native and OpenStreetMaps, Figma Student Name(s) Arvind Rawat  | MatthewMahon Email arvind.rawat2@mail.dcu.ie  | matthew.mahon28@mail.dcu.ie Supervisor Dr Hossein Javidnia 172. Design andDevelopment of a Tennis Ball Launcher to Investigate Key Design Parameters toOptimise Ball Trajectory and Launcher Performance This project aims to enhance tennis players’ training experience by designing a versatile tennis ball launcher to investigate how certain design parameters impact ball trajectory and launcher performance. This project encompasses a dual-flywheel mechanism to launch the tennis ball. An experimental study was conducted to determine the effect that inertia, friction, and pinching have on ball flight and launcher performance. The primary objective of this project is to determine the optimumdesign parameters for flywheel-based tennis ball launchers tomaximise the launchers reliability, predictability, and performance. By systematically evaluating these factors, the project aims to contribute valuable insights to advancing tennis training equipment. Student Programme Mechanical andManufacturing Engineering (Year 5) Project Area 3-DModelling, Mechanical Design andManufacture, Mechatronic Systems, Power Electronics, Simulation Project Technology Excel/VB, Scilab, Solidworks Student Name(s) Gavin Chapman Email gavin.chapman2@mail.dcu.ie Supervisor Prof Brian Corcoran 173. Analysis and Presentation of Large Size Data Files This project centres around investigating and presenting the complexities of handling extensive datasets derived fromadvanced 3D printing processes. Focused on datasets generated by 3D printingmachines utilising laser beampowder bed fusion (LB-PBF) technology, the project aims to unravel correlations between geometric parameters and localisedmelt-pool temperature variations observed during printing. Objectives include fostering insights intomaterial properties’ influence on print quality and internal defect detection. Using Python and supplementary software tools, the project seeks to analyse complex data structures, identifying critical relationships for the optimisation of future additivemanufacturing processes. Student Programme Mechanical andManufacturing Engineering (Year 5) Project Area 3-DModelling, AdditiveManufacturing, Data Analytics Project Technology Excel/VB, Python, Origin Student Name(s) OisinMartin Email oisin.martin7@mail.dcu.ie Supervisor Dr Muhannad Obeidi