Abstract
The Magnum-PSI facility is unique in its ability to produce and even exceed the heat and particle fluxes expected in the divertor of a fusion reactor, combined with good access to the plasma-material interaction region for diagnostics and relatively easy sample manipulation. In addition, it is possible to study the effects of transient heat loads on a plasma-facing surface, similar to those expected during so called Edge Localized Modes. By virtue of a newly installed superconducting magnet, Magnum-PSI can now maintain these conditions for hours on end for truly long term tests of candidate plasma facing materials. The electron density and temperature in the plasma beam center as a function of different magnetic fields up to 1.6 T, gas flow and source current are determined: particle fluxes greater than 10 25 m −2 s −1 and heat fluxes of up to 50 MW m −2 are obtained. Linear regression and artificial neural network analysis have been used to gain insight in the general behavior of plasma conditions as a function of these machine settings. The plasma conditions during transient plasma heat loading have also been determined. These capabilities are now being exploited to reach fluence of up to 10 30 particles m −2 at ITER-relevant conditions, equivalent to a significant fraction of the divertor service lifetime for the first time.
| Original language | English |
|---|---|
| Pages (from-to) | 26-32 |
| Number of pages | 7 |
| Journal | Fusion Engineering and Design |
| Volume | 142 |
| DOIs | |
| Publication status | Published - 1 May 2019 |
Funding
We acknowledge Jonathan van den Berg and Karel van de Plassche for their input on ANNs. The actively-cooled monoblock chain was supplied by the ITER Organization and F4E as part of a Eurofusion-funded experiment to investigate the effect of ITER-relevant fluences on the properties of tungsten. This work has been carried out within the framework of the EUROfusion Consortium and has received funding from the Euratom research and training programme 2014-2018 and 2019-2020 under grant agreement No 633053 . The views and opinions expressed herein do not necessarily reflect those of the European Commission. DIFFER is a partner in the Trilateral Euregio Cluster TEC.
Keywords
- Artificial neural network analysis
- Divertor
- Edge localized modes
- High heat flux
- Linear plasma devices
- Plasma-surface interactions
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