Bulletin of the American Physical Society
65th Annual Meeting of the APS Division of Plasma Physics
Monday–Friday, October 30–November 3 2023; Denver, Colorado
Session UP11: Poster Session VIII:
HED:High Energy Density Plasma Science
MFE: Superconducting Tokamaks; Self-organized configurations II: FRC, RFP, Spheromak; Machine learning techniques in MFE
ICF: Machine learning techniques in ICF
2:00 PM - 5:00 PM
Thursday, November 2, 2023
Room: Plaza ABC
Abstract: UP11.00059 : Plasma stability and reproducibility for characterizing plasma-material interactions (PMI) on the ZaP-HD sheared-flow-stabilized Z-pinch device.*
Presenter:
Amierul Aqil b Khairi
(University of Washington)
Authors:
Amierul Aqil b Khairi
(University of Washington)
Uri Shumlak
(University of Washington)
An array of axially and azimuthally distributed magnetic field probes measures the spatial and temporal evolution of the magnetic field in the ZaP-HD sheared-flow-stabilized (SFS) Z pinch. Fourier analysis of the probe data yields the fluctuation amplitudes of the azimuthal modes. The resulting m = 0 mode measures the mean field amplitude, and the m = 1 mode is proportional to the radial displacement of current from the geometric axis of the probe array. These values are used to assess the axial uniformity, quiescent period, and reproducibility of the pinch. The power supply discharge time and gas puff times are varied to optimize the machine settings that produce uniform, stable, and reproducible pinches. The high current density and high energy density plasma in ZaP-HD and other SFS Z-pinch devices can result in electrode erosion, which can be detrimental to fusion performance and component lifetimes. Operational campaigns on ZaP-HD to diagnose the plasma-material interactions (PMI) at the cathode will benefit from stable, reproducible pinches by providing consistent energy deposition into the plasma. Diagnostics in development such as a two-color pyrometer will provide measurements of surface temperature and the heat flux through the cathode.
*The information, data, or work presented herein was funded in part by the Advanced Research Projects Agency – Energy (ARPA-E), U.S. Department of Energy, under Award No. DE-AR-0000571, the U.S. National Nuclear Security Administration under Grant No. DE-NA0001860, and the U.S. Department of Energy under Grant No. DE-FG02-04ER54756.
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