journal article·2012-02

Remote-LIBS characterization of ITER-like plasma facing materials

S. Almaviva, L. Caneve, F. Colao, R. Fantoni, G. Maddaluno

Journal of Nuclear Materials· Volume 421· Issue 1-3
Publisher page

Abstract

Abstract The occurrence of several plasma-wall interaction processes, eventually affecting the overall system performances, is expected in a working fusion device chamber. Monitoring the changes in the composition of the plasma facing component (PFC) surface layer, as a result of erosion and redeposition mechanisms, can provide useful information on the possible plasma pollution and fuel retention. To this aim, suitable diagnostic techniques able to perform depth profiling analysis of the superficial layers on the PFCs have been developed. Due to the constraints commonly found in fusion devices, the measuring apparatus must be non invasive, remote and sensitive to light elements. These requirements make LIBS (Laser Induced Breakdown Spectroscopy) an ideal candidate for on-line monitoring the walls of current and of next generation (as ITER) fusion devices. LIBS is a well established tool for qualitative, semi-quantitative and quantitative analysis of surfaces, with micro-destructive characteristics and some capabilities for stratigraphy. In this work, LIBS depth profiling capability has been verified for the determination of the composition of multilayer structures simulating plasma facing components covered with deposited impurity layers. A new experimental setup has been designed and realized in order to optimize the characteristics of a LIBS system working in vacuum conditions and remotely, two noticeable properties for an ITER-relevant diagnostics. A quantitative analysis has been carried out in determining the elemental composition of the ITER-like samples.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Laser-induced spectroscopy and plasma · Ion-surface interactions and analysis · Metallurgical Processes and Thermodynamics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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