Research update June 2018
Software Eng presentation
Research Update
Automated parametric design optimisation for fusion components
J. Shimwell
This work was funded by the RCUK Energy Programme
[Grant number EP/P012450/1]
Objective
To perform automated parametric multiphysics analysis of breeder blanket designs with an aim of optimising the design.
1
Selection of design parameters
Parametric CAD construction
Neutronics simulation for TBR and EM
Converstion to unstructured mesh
Neutronics simulation for volumetric heating
Converstion to engineering mesh
Simulations to find stress and temperature
Evaluate design
Converstion to CGS
Interpolate performance & design sensitivity
Automated
workflow
2
Serpent II
Nuclear data
Containerization
Blanket
design tool
Computing techniques
Cloud computing
Visualisation Web app
Database
3
Parametric design
Select a design from the 4 EU blanket modules
Select design parameters to vary
- First wall thickness
- Poloidal height of PbLL
- Lithium 6 enrichment
- Pebble packing fraction
etc
4
Parametric design
4
Sampling techniques
5
Interpolation confidence
6
Interpolation confidence
7
Results
8
Due to the use of CAD throughout the project the same model can be used to obtain TBR, volumetric heating, temperature and stress.
9
Volumetric heating simulations
10
Temperature simulations
- Volumetric heating obtained with unstructured mesh simulations in MCNP 6 and Serpent 2
- Meshing and boundary condition identification in Trelis / Cubit
- Material properties assigned using Python *
- Heat transfer performed in Fenics
- visualization in Paraview
11
Software projects
- Generates 3D models of breeder blankets
- UKAEA github Version control
- Docker image on UKAEA Docker Hub
- Continuous integration with Circle CI
- Readme.md file with documentation
- Pip install available
- Produces material cards for simulations
- UKAEA github Version control
- Continuous integration with Travis CI
- Readme.md file with documentation
- Pip install available
- test suite using pytest
12
Weekend project
- Serverless computing
- Rest API
- AWS lambda functions
- Cloud hosted database
- 1 million entries searched in 1 s
- Interactive plots
- Similar functionality to:
AWS lambda
Automated Portable
Parametric
Scalable
Neutronics
Figure shows tritium production within EU DEMO
Conclusion
12
Research update June 2018
By Jonathan Shimwell
Research update June 2018
Software Eng presentation
