Validation of prompt versus local tungsten redeposition using target geometry and magnetic field scans

POSTER

Abstract

Using the 3D Monte-Carlo Global Impurity TRansport (GITR) code, we examine differences in the redeposition pattern for tungsten (W) surfaces with a particular view toward ex situ diagnostic methods for discriminating the dominating redeposition mechanisms. Our modeling results show that W redeposition is primarily geometrically-driven (promptly redeposited) or electrostatically-driven (locally transported within the pre-sheath). We have demonstrated how the dominant redeposition type evolves under changes in key plasma parameters and present initial modeling results comparing W redeposition mechanisms in different magnetic field strengths (i.e., 0.7T and 2.2T, corresponding to future experiments planned at CTH and DIII-D, respectively). The distinction in redeposition mechanism is inferred using exact patterning of the source isotopic W which provides sub-mm spatial accuracy of the resultant deposition. By scanning target geometries as well sheath conditions, the GITR redeposition patterns show distinct spatial regions for sputtered material that is geometric- versus electrostatic-driven. These techniques lay the foundation for determining these mechanisms experimentally and for comparing ex situ with in situ diagnostics, all to provide better predictive high-Z sputtering models.

*This work was funded in part by the SCGSR 2020 Solicitation 2 award and DOE award number DE-SC0020414.

Presenters

  • Davis C Easley

    • University of Tennessee

Authors

  • Davis C Easley

    • University of Tennessee
  • Timothy R Younkin

    • Oak Ridge National Laboratory
    • Oak Ridge National Lab
  • E.A. A Unterberg

    • Oak Ridge National Laboratory
    • Oak Ridge National Lab
  • Curtis A Johnson

    • Oak Ridge National Laboratory
    • Oak Ridge National Lab
    • ORNL
    • Oak Ridge National Laboratory, Oak Ridge, TN 37831-6169, United States of America
    • Auburn University
  • Atul Kumar

    • Oak Ridge National Lab
  • David C Donovan

    • University of Tennessee
    • University of Tennessee - Knoxville
    • Department of Nuclear Engineering, University of Tennessee, Knoxville, Tennessee 37996, USA
    • University of Tennessee, Knoxville
    • University of Tennessee – Knoxville