Improved journal bearing performance prediction via the use of machine learning.
Lead Research Organisation:
University of Nottingham
Department Name: Faculty of Engineering
Abstract
Machine Learning (ML) model will be developed to predict the performance of journal bearings. This will enable small changes to bearing design to be modelled without requiring a new CFD simulation. It will also enable key design variables to be identified to inform future design changes.
Organisations
People |
ORCID iD |
| Samuel Cartwright (Student) |
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| EP/T517902/1 | 30/09/2020 | 29/09/2025 | |||
| 2740524 | Studentship | EP/T517902/1 | 30/09/2022 | 30/03/2026 | Samuel Cartwright |
| EP/W524402/1 | 30/09/2022 | 29/09/2028 | |||
| 2740524 | Studentship | EP/W524402/1 | 30/09/2022 | 30/03/2026 | Samuel Cartwright |