International Journal of Energetic Materials and Chemical Propulsion · 2020 · 14 citations · 0 references
EngineeringChemical EngineeringChemistryCombustionComputational Heat TransferReaction EngineeringCombustion FundamentalsCombustion KineticsCombustion ProcessesDiffusion FlamesFlame StructureSolid Fuel CombustionCounterflow Diffusion FlamesDiffusion CombustionDiffusion Flame StructureFlame TemperatureFuel OxidationFuel Oxidation MechanismsFuel PyrolysisHeat Release Modeling
Counterflow diffusion flame experiments were conducted to investigate hydroxyl-terminated polybutadiene (HTPB) solid fuel combustion under varied pressure environments from 0.1 to 2.2 MPa using nitrous oxide (N2O) as the oxidizer. A numerical model was developed to analyze the flame structure and predict regression rates. Results show solid fuel regression rates to increase with pressure for a fixed oxidizer momentum flux. The flame structure thins due to faster kinetics and shifts toward the regressing fuel surface with increasing pressure. The diffusion flame is positioned on the oxidizer side of the stagnation plane, which also shifted toward the fuel surface with increasing pressure. Flame temperature increases with pressure as well, due to decreasing radical formation, increasing the surface temperature gradient, resulting in enhancement of solid fuel pyrolysis. Heat release from N2O decomposition and pyrolyzed fuel oxidation occurs in two distinct stages at atmospheric pressure, while at elevated pressure (1.83 MPa) the exothermic peak associated with oxidation is distributed over a spatial domain thinner than at 0.1 MPa, but contains many small regions of isolated exothermicities. The flame structure with N2O exhibits a similar structure as O2-HTPB diffusion flames in the spatial regions where N2O was not present because of decomposition. Leakage of O2 and NO into the fuel pyrolysis zone also decreases with increasing pressure. Predicted regression rates with N2O are approximately 34% lower than those with O2 . A comparison of counterflow fuel regression rates with subscale hybrid motor fuel regression rates are in good agreement when the rates are extrapolated based on oxidizer mass flux.