DCU-Final-Year-Projects-Booklet-2025

41 27. Investigating the Effect of Torque on Sanitary Gaskets Sanitary connections are commonly found in biopharma systems, with many different configurations existing, featuring varying pipe sizes, gasket materials, and clamp types. When installed, the clamps are torqued to specific values, but the torque values specified by the manufacturer of the gaskets are not consistent with those specified by the manufacturer of the clamps. The objective of this project is to test the values specified by each manufacturer across a range of sanitary connection configurations. This is achieved by exposing various sanitary connections to sterilisation-in-place (SIP) cycles, designed to simulate system conditions, followed by an assessment of the gaskets to determine whether the differing torque values have a significant impact on their performance. Student Programme Mechanical andManufacturing Engineering (Year 5) Project Area Biomedical Engineering, Materials Testing Project Technology Excel/VB, Bioprocessing Student Name(s) ClaireMurphy Email claire.murphy396@mail.dcu.ie Supervisor Prof Brian Corcoran 28. Rezyn: Real-Time Inventory andWasteManagement for the Construction Sector Rezyn is an innovative SaaS platform transforming inventory and waste management for construction projects. With its intuitiveMaterial Dashboard, project managers can log deliveries, track real-time material usage, andminimise waste through actionable insights. By identifying waste trends and surplus materials, Rezyn helps reduce environmental impact and improve resource efficiency. Supportingmultiple units like tonnes, quantities, or litres, Rezyn adapts to diverse project needs and provides customisable teamaccess for stakeholders. Its reporting tool simplifies compliance, project transparency, and alignment with eco-certifications like BREEAMand LEED. By aligning with Sustainable Development Goals 9, 11, and 12, Rezyn helps the construction sector build smarter andmore responsibly. Student Programme Enterprise Computing Project Area Automation, Data Analytics, Databases, Web Application, Life Cycle Assessment, InventoryManagement Project Technology CSS, HTML5, JQuery, JavaScript, Python, SQL, Django Student Name(s) AdamMoriarty  |  Hannah Gubbins Email adam.moriarty7@mail.dcu.ie  |  hannah.gubbins3@mail.dcu.ie Supervisor Dr SilvanaMacMahon 29. Interpreting the Impact of Delays in Flight Systems UsingMachine Learning This project investigates flight delays in the aviation industry usingmachine learning and data analysis. Focusing on amajor American airport and two connecting airport hubs, the study aims to identify key factors contributing to flight delays. Data frommultiple sources, including flight schedules and daily weather reports, is integrated to create a unified dataset. Feature engineering techniques are applied to enhance data quality, enabling the development of predictive models. These models are evaluated to determine the most effective approach for forecasting delays. By identifying patterns that improve the accuracy of flight delay predictions, this project provides valuable insights that could help airports and airlines better anticipate andmanage delays in the future. Student Programme Computer Science Project Area Data Analytics, DataMining Project Technology Docker, Python, Machine Learning Student Name(s) Cyrus Landingin  |  Amy Collins Email cyrus.landingin2@mail.dcu.ie  |  amy.collins49@mail.dcu.ie Supervisor Prof Mark Roantree