Neutron tomography (CT) image data of tungsten fusion energy heat exchange components
Description
Neutron tomography (CT) image data of tungsten fusion energy heat exchange components.
The dataset includes three sets of images:
- ITER_171T-WA-0002_MB (ITER reference monoblock)
- CCFE_ThBr_MB (Culham Centre for Fusion Energy thermal break concept monoblock)
- ROIsamples_Stack (A stack of four region of interest samples*)
The region of interest samples within the stack are as below:
- CCFE_ThBr_ROI (Culham Centre for Fusion Energy thermal break concept monoblock)
- IPP_Wf-Cu_p5_s1 (Max-Planck-Institut für Plasmaphysik tungsten fibre / copper matrix coolant pipe)
- ITER_HHFT_ROI (ITER reference monoblock which has undergone high heat flux testing)
- ITER_17IT-WA-0002_ROI (ITER reference monoblock)
This data was used originally for the following publication (please cite if re-using the data) where further details on the data may be obtained:
Ll.M. Evans, L. Margetts, P.D. Lee, C.A.M. Butler, E. Surrey, “Image based in silico characterisation of the effective thermal properties of a graphite foam”, Carbon, Vol. 143, pp. 542-558, 2018. https://doi.org/10.1016/j.carbon.2018.10.031
Each of the sample directories include reconstructed slices in Tiff format. To visualise the 3D volume use software such as ImageJ (https://imagej.net/Fiji/Downloads).
CCFE_ThBr_ROI and ROIsamples_Stack include raw radiographs; dark and flat field images; scan & reconstruction parameter settings file.
ITER_171T-WA-0002_MB includes data relating to the modulation transfer function (MTF) measurement.
An X-Ray CT version of the ROI data is available for comparison: https://doi.org/10.5281/zenodo.3533420
Image-based simulation (IBSim) meshes were generated directly from these datasets: https://doi.org/10.5281/zenodo.3533422
Files
NeutronCT_WMonoblockStudy.zip
Additional details
Related works
- Is referenced by
- Journal article: 10.1016/j.fusengdes.2018.06.017 (DOI)
- Is supplemented by
- Dataset: 10.5281/zenodo.3533420 (DOI)
- Dataset: 10.5281/zenodo.3533422 (DOI)
Funding
- UK Research and Innovation
- UK Magnetic Fusion Research Programme EP/I501045/1
- UK Research and Innovation
- Inline virtual qualification from 3D X-ray imaging for high-value manufacturing EP/R012091/1