NONEQUILIBRIUM NOZZLE EXPANSIONS OF PARTIALLY DISSOCIATED AIR: A COMPARISON OF THEORY AND ELECTRON-BEAM MEASUREMENTS

Abstract

A theoretical/experimental study was made of the rapid expansion of partially dissociated air in a high enthalpy wind tunnel. The theoretical model included the important nitrogen-oxygen reaction kinetics, as well as vibrational exchanges. Pressure measurements were supplemented by electron-beam measurements of static (translational) temperature, vibrational temperature, and static density. The primary result was general confirmation of finite-rate flow calculations. Secondarily, rotational temperature determination by electron beam was found to require a small empirical correction, vibrational-relaxation rates from shock experiments were inapplicable in rapid flow expansion, and the static temperature/density combination yielded the optimum comparison with theory. The nonequilibrium data were correlated with an entropy parameter for reservoir pressures from 5 to 20 atm and temperature from 2300 to 5000K. Verification of finite-rate theory at high density was inferred from data measured at large area ratios plus the simple nature of frozen flows downstream of the nozzle throat.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1969
Accession Number
AD0690493

Entities

People

  • J. C. Marshall
  • W. N. Macdermott

Organizations

  • Arnold Engineering Development Complex

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Chemical Kinetics
  • Chemical Reactions
  • Computational Fluid Dynamics
  • Detectors
  • Electron Beams
  • Electrons
  • Energy Transfer
  • Enthalpy
  • Low Density
  • Measurement
  • Pressure Measurement
  • Shock Tubes
  • Static Pressure
  • Thermodynamic Properties
  • Vibrational Relaxation
  • Wind Tunnels

Fields of Study

  • Physics

Readers

  • Aerodynamics.
  • Combustion science or combustion engineering.
  • Molecular Photonics/Laser Physics

Technology Areas

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