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Low regression rates in hybrid rockets limit their use and capability. In the current paper, the implementation of aluminum particles as a burning rate enhancer is assessed on a lab-scale burner. Traditional temporally and spatially averaged techniques are applied to determine the regression rates of plain and aluminized HTPB motors burning in gaseous oxygen. Resistance based regression sensors are embedded in motor grains and used to determine instantaneous and averages burning rates. The resistive based sensors exhibited good accuracy and unique capabilities not achievable with other regression measurement techniques. The addition of nano-aluminum to hybrid motors increased the motor surface regression rate for all tested oxidizer mass fluxes.

Hybrid Rocket Burning Rate Enhancement by Nano-Scale Additives in HTPB Fuel Grains