DCU Expo 2024 - Final Year Projects

52 66. Redesign of Station E of the FMS Rig The goal of this project was to redesign elements of Station E of the FlexibleManufacturing System (FMS) rig, which is used as part of the ‘Manufacturing Automation and Assembly’ module labs. This station fed machine screws to a robot arm to be placed within a workpiece. The existing parts feeder did not function properly. Screws were often not indexed to the correct position for pickup. This required extensive repair or a redesign to overcome those issues. A redesign of the feedmechanismwas carried out under a set of design requirements laid out by the project supervisor. A centreboard hopper feeder was designed and manufactured to replace the existing system. This also increased the efficiency and reliability of the systemby automatically orienting and locating screws for pickup. Student Programme Mechatronic Engineering (Year 4) Project Area 3-DModelling, AdditiveManufacturing, Automation, LeanManufacturing, Mechanical Design andManufacture, Mechatronic Systems, Motion Analysis, Robotics, Sensor Technology, Simulation Project Technology Excel/VB, PLC Programming, Solidworks Student Name(s) Thomas Carrigan Email thomas.carrigan2@mail.dcu.ie Supervisor Dr Paul Young 67. Schedule Assistant Schedule Assistant is an AI-powered web application designed for nursing homes to enhance staff scheduling efficiency and flexibility. Traditional methods often lead to operational inefficiencies and potential understaffing due to the complex nature of shift patterns and workforce diversity. The application features an intelligent, rule-based algorithm that generates optimised schedules considering staff attributes. This application is poised to enhance operational efficiency within nursing homes by providing an adaptable and user-centric solution that transforms staffing processes. Student Programme Computer Applications Project Area Artificial Intelligence, Data Analytics, Databases, Web Application Project Technology CSS, Docker, HTML5, JQuery, JavaScript, Nodejs, Python, REST, React.js, Machine Learning Student Name(s) Xiaoyu Lyu  |  YutongWu Email lyu.xiaoyu2@mail.dcu.ie  |   yutong.wu9@mail.dcu.ie Supervisor Dr TraceyMehigan 68. Traffic FlowAnomaly Detection in a SUMONetwork This project explores developing amachine model to detect traffic flow anomalies in a SUMO network. Simulation of UrbanMobility (SUMO) is an open-source traffic simulator used to replicate the traffic patterns of a small village in Kildare. A feedforward neural network is trained and tested to predict if a traffic flow anomaly has occurred in the village. Student Programme Electronic and Computer Engineering (Year 4) Project Area Simulation Project Technology Python, Machine Learning, Simulation of UrbanMobility (SUMO) Student Name(s) Conor McCarthy Email conor.mccarthy76@mail.dcu.ie Supervisor Dr Mingming Liu