Using Artificial Intelligence to study variations in gas turbine performance.
Lead Research Organisation:
University of Southampton
Department Name: Sch of Engineering
Abstract
Artificial Intelligence (AI) allows the rapid processing of images. In the context of gas turbines this means that scans and video imaging of engine parts could be automatically assessed for variations in shape that can have significant impact of fuel consumption and engine life. In this project, data from Rolls-Royce will be combined with the latest AI and data mining tools, CAD descriptions, geometry morphing and 3D analysis codes to inform engineers on the impact of variations in geometry on engine performance. The aim is both to design parts that are more resistant to performance degradation and also to inform service teams of the best repair and replacement strategies for engines currently in use.
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
EP/V519765/1 | 01/10/2020 | 30/09/2025 | |||
2453528 | Studentship | EP/V519765/1 | 01/10/2020 | 30/09/2024 | Joshua Bamford |