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Modal Propellant Gauging in Low Gravity.

Kevin M Crosby1, Tessa Rundle2, Kevin LeCaptain2

  • 1Department of Physics and Astronomy, Carthage College, Kenosha, 53140.

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|March 26, 2019
PubMed
Summary
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A new modal propellant gauging (MPG) technology accurately measures liquid propellant levels in low-gravity, even with sloshing. This acoustic resonance method excels at low fill-fractions, outperforming traditional gauging techniques.

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Area of Science:

  • Aerospace Engineering
  • Mechanical Engineering
  • Physics

Background:

  • Accurate propellant gauging is critical for spacecraft missions and orbital fuel depots.
  • Conventional gauging methods struggle with accuracy at low propellant levels and in microgravity environments.
  • Sloshing liquids further complicate propellant level measurements.

Purpose of the Study:

  • To present results from parabolic flight testing of a novel low-gravity propellant gauging technology.
  • To evaluate the performance of the modal propellant gauging (MPG) method.
  • To demonstrate the MPG method's robustness and accuracy across various conditions.

Main Methods:

  • Utilized parabolic flight testing to simulate low-gravity conditions.
  • Employed modal propellant gauging (MPG) by detecting resonant acoustic mode shifts.
  • Developed and applied an algorithm for real-time identification of modal response behaviors in zero-gravity.

Main Results:

  • MPG demonstrated robustness against sloshing liquids in zero-gravity with errors under 1.5%.
  • MPG showed comparable resolution to existing methods for settled propellant.
  • Lab measurements indicated less than 1.0% error for fill-fractions between 10-50% in 1-g.
  • MPG proved particularly effective at low fill-fractions where conventional methods fail.

Conclusions:

  • The modal propellant gauging (MPG) method offers a reliable solution for low-gravity propellant level measurement.
  • MPG technology is suitable for small satellite missions and propellant transfer operations in orbital fuel depots.
  • The developed algorithm enables automated fill level assignment by correlating zero-g and 1-g frequency response functions.