MEASUREMENT OF GAS DENSITY BY ELECTRON SCATTERING

Abstract

It is theoretically possible to infer the density of a gas from the rate at which particles are scattered out of a beam of subatomic particles which is passed through the gas. This technique offers the possibility of a probeless density measurement which is independent of the state of the gas. Previous research verified that this technique could be implemented using a gamma ray beam, but that the best spatial resolution and measuring time which could be achieved were inadequate to allow the technique to be applied to a low density test facility. In the research reported, the technique was applied using a 50, 000-v electron beam. It was found that excellent spatial resolution and measuring time could be achieved at densities as low as 6 x 10 to the -8th power gm/cc. Density profiles were measured in a low density wind tunnel with a nozzle exit diameter of 18 in. and an open jet test section.A spatial resolution of about 1 cm was achieved, and measurements required 10 sec per point. This measuring time can probably be reduced by several orders of magnitude if necessary. The densities measured were repeatable within 1 percent. Accuracy, spatial resolution, and measuring time are found to be interrelated. The constraint on the combination is discussed in detail. The design of equipment is discussed.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1967
Accession Number
AD0646590

Entities

People

  • C. H. Fisher
  • J. W. Cunningham

Organizations

  • Arnold Engineering Development Complex

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Amplifiers
  • Detectors
  • Dielectric Gases
  • Electron Beams
  • Electron Guns
  • Electron Tubes
  • Electrons
  • Gamma Rays
  • Geometry
  • High Voltage
  • Measurement
  • Power Supplies
  • Scattering
  • Subatomic Particles
  • Test Facilities
  • Wind Tunnels

Fields of Study

  • Physics

Readers

  • Fluid Dynamics.
  • Optical Physics and Photonics.
  • Plasma Physics.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Directed Energy
  • Directed Energy - Lasers
  • Microelectronics