Experimental and Analytical Study of Erosive Burning of Solid Propellants.

Abstract

At Atlantic Research, erosive burning characteristics of eleven composite propellants were measured and found to agree well with predictions of a simplified first-generation model under most conditions. A second-generation more fundamental model for predicting burning rate versus pressure and cross flow velocity, given only compositional data, also yield predictions in close agreement with data. The most important parameter affecting crossflow sensitivity was no-cross flow burning rate, erosion sensitivity decreasing with increasing base rate. ARAP completed modifications to its SPEC model to enable calculation of cylindrical flows and performed preliminary evaluation for cold-flow simulations and erosive burning. Motor port diameter was identified as a key erosive burning scaling parameter through its effect on threshold conditions, and a simplified scaling relation was developed and verified. In addition, ARAP investigated the effects of combustion-turbulence interaction on predicted erosive burning. Penn State measured erosive burning rates of three AP-composite formulations in a device designed to give a well-defined turbulent boundary layer. The data agreed well with predictions made using a Penn State model based on a 2D turbulent boundary layer approach. Correlations relating burning rate to free stream velocity, and pressure were developed. The model was also extended to axisymmetric cylindrical port flow. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1979
Accession Number
ADA079618

Entities

People

  • Kenneth Kuo
  • Merrill K. King
  • Mohan Razdan
  • Robert Beddini

Organizations

  • ARCO

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Ammonium Perchlorate
  • Boundary Layer
  • Burning Rate
  • Combustion
  • Composite Propellants
  • Contractors
  • Creep
  • Flow
  • Fluid Dynamics
  • Geometry
  • Layers
  • Particle Size
  • Propellants
  • Rocket Engines
  • Solid Propellants
  • Turbulent Boundary Layer
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Combustion and Flow Dynamics.
  • Computational Modeling and Simulation
  • Rocket Propulsion.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference