Preparation and Characterization of Highly Insulating Granular Samples for Electron Yield Measurements

ORAL

Abstract

Methods to prepare and characterize highly insulating particulate samples for electron yield measurements were developed and evaluated. Accurate analysis methods were required to characterize particle size and shape and the magnitude and uniformity of fractional particle coverage. Optical microscopy had insufficient resolution and contrast to fully differentiate the highly-insulating, granular, 68 \textmu m mean sized, Al$_{\mathrm{2}}$O$_{\mathrm{3}}$ particulates mounted on substrates of standard scanning electron microscopy (SEM) graphitic carbon tape with acrylic-based conductive adhesive. Modest resolution SEM images were used instead and also provided spatial information of occasional charging of Al$_{\mathrm{2}}$O$_{\mathrm{3}}$ particles. A custom MATLAB script analyzed SEM images numerical greyscale pixel values to determine allowing global and regional fractional coverages; commercial software was less effective. Gravimetric deposition of particles suspended in deionized water onto adhesive substrates was the most successful preparation method; loose particulates were removed with nitrogen gas jets. Application of other particulate shapes, sizes, and 0{\%} to \textasciitilde 100{\%} coverages are discussed, as are less successful preparation methods. Representative electron yield measurements are presented.

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Authors

  • Heather Allen

    Utah State University

  • Rupjyoti Gogoi

    Arizona State University, Colorado State University, University of Utah, Utah State University, George Mason University, Brigham Young University, University of Colorado, Boulder, Georgia Institute of Technology, University of Colorado, Boulder; North China Electric Power University, Argonne National Laboratory, Carnegie Mellon University, Purdue University, Yunnan University, University of Arizona, Ball Aerospace, Ponderosa Associates Limited, Polsinelli PC, Saleh Research Centre, New Mexico State University, Oak Ridge National Laboratory, Center for Memory and Recording research, Advanced Photon Source, Chemnitz university of technology, Tezpur University

  • Rupjyoti Gogoi

    Arizona State University, Colorado State University, University of Utah, Utah State University, George Mason University, Brigham Young University, University of Colorado, Boulder, Georgia Institute of Technology, University of Colorado, Boulder; North China Electric Power University, Argonne National Laboratory, Carnegie Mellon University, Purdue University, Yunnan University, University of Arizona, Ball Aerospace, Ponderosa Associates Limited, Polsinelli PC, Saleh Research Centre, New Mexico State University, Oak Ridge National Laboratory, Center for Memory and Recording research, Advanced Photon Source, Chemnitz university of technology, Tezpur University