Published February 1, 2020 | Version v1
Journal article Open

Degradation of thermal transport properties in fine-grained isotropic graphite exposed to swift heavy ion beams

  • 1. Materials Research Department, GSI Helmholtzzentrum, Planckstr. 1, 64291 Darmstadt, Germany;Department of Materials and Earth Sciences, Technische Universität Darmstadt, Alarich-Weiss-Straße 2, 64287 Darmstadt, Germany
  • 2. Mechanical and Thermal Engineering Lab., ITheMM (EA 7548), Université de Reims Champagne Ardenne URCA, Moulin de la Housse BP 1039, 51687 Reims, France
  • 3. Materials Research Department, GSI Helmholtzzentrum, Planckstr. 1, 64291 Darmstadt, Germany
  • 4. Materials Research Department, GSI Helmholtzzentrum, Planckstr. 1, 64291 Darmstadt, Germany; Department of Materials and Earth Sciences, Technische Universität Darmstadt, Alarich-Weiss-Straße 2, 64287 Darmstadt, Germany
  • 5. Materials Research Department, GSI Helmholtzzentrum, Planckstr. 1, 64291 Darmstadt, Germany;Institute of Materials Physics, WWU Münster, Wilhelm-Klemm-Straße 10, 48149 Münster, Germany

Description

Isotropic polycrystalline graphite samples were irradiated with ~1 GeV 197Au and 238U ions of fluences up to 5 × 1013 ions/cm2. Beam-induced changes of thermophysical properties were characterized using frequency domain photothermal radiometry (PTR) and the underlying structural transformations were monitored by Raman spectroscopy. The ion range (~60 µm) was less than the sample thickness, therefore thermal diffusivity contributions of the irradiated as well as non-irradiated layer were considered when analyzing the PTR data. At the highest applied fluences, the thermal effusivity of the damaged layer degrades down to 20% of the pristine value and the corresponding calculated values of thermal conductivity decrease from 95 Wm−1K−1 for pristine material to 4 Wm−1K−1, a value characteristic for the glassy carbon allotrope. This technique provides quantitative data on thermal properties of ion-irradiated polycrystalline graphite and is very valuable for the prediction of lifetime expectancy in long-term applications in extreme radiation environments.

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Additional details

Related works

Is derived from
10.1016/j.actamat.2019.11.037 (DOI)

Funding

ARIES – Accelerator Research and Innovation for European Science and Society 730871
European Commission