Title
AI-Mesh
CoPED ID
7cb10452-8c47-4a66-8b5b-ba37ea104dea
Status
Closed
Funders
Value
£139,874
Start Date
Aug. 31, 2018
End Date
Aug. 30, 2019
Description
The most commonly referenced bottleneck and process impediment in computational engineering is mesh generation -- defining the discrete elements, lines and points around a geometry (car, aeroplane, turbine) that are required before a solver (computational fluid dynamics, computational structural mechanics or electromagnetics) can be run. AI-Mesh brings together specialist SMEs AlgoLib (AI and machine learning technology) and Zenotech (computational engineering and cloud computing) to create a prototype AI-based meshing system - replacing manual human operations in mesh generation with automation informed by feedback from the quality metrics of each mesh generated.
| Zenotech Ltd | LEAD_ORG |
| Zenotech Ltd | PARTICIPANT_ORG |
| Algolib Ltd | PARTICIPANT_ORG |
| David Standingford | PM_PER |
| David Standingford | PM_PER |
Subjects by relevance
- Machine learning
- Computational fluid dynamics
- Mechanics
- Car mechanics
- Information technology
- Computers
- Automation engineers
- Barriers
- Cloud services
- Computer mechanics
- Metric system
Extracted key phrases
- Prototype AI
- Computational engineering
- Computational structural mechanic
- Computational fluid dynamic
- Mesh generation
- Specialist SMEs AlgoLib
- Machine learning technology
- Manual human operation
- Mesh
- Meshing system
- Discrete element
- Cloud computing
- Bottleneck