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International Journal of Energetic Materials and Chemical Propulsion
ESCI SJR: 0.149 SNIP: 0.16 CiteScore™: 0.29

ISSN Print: 2150-766X
ISSN Online: 2150-7678

International Journal of Energetic Materials and Chemical Propulsion

DOI: 10.1615/IntJEnergeticMaterialsChemProp.v9.i4.30
pages 327-339

HIGH-FIDELITY PREDICTIONS OF THE EFFECTS OF PRESSURE AND PARTICLE SIZE ON AMMONIUM PERCHLORATE/HYDROXY- TERMINATED-POLYBUTADIENE PROPELLANTS

Matthew L. Gross
Naval Air Warfare Center, Weapons Division, China Lake, California 9355-6100 USA
Ephraim B. Washburn
Naval Air Warfare Center, Weapons Division, China Lake, California 93555, USA
Merrill W. Beckstead
Brigham Young University, Provo Utah USA

ABSTRACT

The complexities of the flame structure above an ammonium perchlorate (AP) and hydroxy- terminated-polybutadiene (HTPB) composite propellant have been elucidated, using a two- dimensional, detailed kinetic model. The model utilizes a vorticity formulation of the transport equations and includes mass and energy coupling between the condensed and gas phases, and a detailed gas-phase kinetic mechanism consisting of 37 species and 127 reactions. Numerical studies have been performed to examine particle-size and pressure effects on the flame structure above an AP/HTPB surface. The combination of AP with a binder/fuel results in a significantly enhanced burning rate relative to monopropellant AP, and this effect increases as AP particle size decreases. The modeled flame structure was found to be qualitatively similar to the Beckstead-Derr-Price (BDP) model. Three different combustion zones were predicted based on particle size: the AP monopropellant limit, the diffusion flame region, and the premixed limit. Calculations varying pressure further illustrate the dynamic nature of AP propellant combustion; as pressure increases, the premixed cutoff size decreases. Results are consistent with experimental observations and provide mechanistic insights into AP's unique combustion properties. Calculations show promise in predicting formulistic effects using high-fidelity models.

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