1966
DOI: 10.2514/3.3566
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Regression rates of metalized hybrid fuel systems.

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Cited by 72 publications
(17 citation statements)
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“…This effort entailed the development of an analytical expression for the regression rate as a function of several kinetic parameters and length-scales. Miller [20] developed a model that incorporated both the fuel diffusion rate and the chemical reaction rates, which he used to successfully correlate data taken by Smoot and Price [21][22][23]. Kosdon and Williams [24] later noted that Miller's analysis was only applicable to systems with low pressure and moderate oxidizer fluxes and derived a new expression that incorporated a flame zone of finite thickness.…”
Section: Kinetics-limited Modelsmentioning
confidence: 99%
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“…This effort entailed the development of an analytical expression for the regression rate as a function of several kinetic parameters and length-scales. Miller [20] developed a model that incorporated both the fuel diffusion rate and the chemical reaction rates, which he used to successfully correlate data taken by Smoot and Price [21][22][23]. Kosdon and Williams [24] later noted that Miller's analysis was only applicable to systems with low pressure and moderate oxidizer fluxes and derived a new expression that incorporated a flame zone of finite thickness.…”
Section: Kinetics-limited Modelsmentioning
confidence: 99%
“…Another group of researchers focused more on heterogeneous surface reactions as the source of kinetics dependence. Smoot and Price [21][22][23] performed numerous tests using a slab burner and found that, above a threshold value of G, the regression rate became nearly independent of G and instead varied with P and the oxidizer composition. These researchers defined a low mass flux regime where the normal G 0.8 dependence held, an intermediate mass flux regime where both P and G played a role, and a third regime at very high mass fluxes where the regression rate varied with pressure, as in the case of a solid rocket propellant; namely,ṙ ∝ P n .…”
Section: Kinetics-limited Modelsmentioning
confidence: 99%
“…Besides the traditional strategy of the addition of highly energetic metallic particles such as micron‐sized or nanoscale aluminum, and boron , it is found that the addition of H‐enriched materials that can introduce more hydrogen into the combustion system will increase the combustion efficiency of a fuel, promote lower pollutant emissions, and enhance the heat of combustion and specific impulse, etc. . Therefore, H‐enriched materials such as metal hydrides, complex hydrides (borohydrides, alanates), and borane compounds have been proposed to be potential candidates of solid propellants (Table ) .…”
Section: Introductionmentioning
confidence: 99%
“…A definitive pressure dependence of fuel regression ra te was noted in [15] and [16] for a lithium hydride based fuel grain w ith a FLO X oxidizer, and various non-m etallized polym er fuels operating w ith a FLO X oxidizer. T he pressure depen dencies were observed at m ass flux > 70 k g /m 2s and low pressures, < 1 5 0 psia, and were a ttrib u te d to a heterogeneous ra te lim iting kinetic reaction a t th e oxidizer/fuel…”
Section: Influence O F Pressure On Regression Ratementioning
confidence: 98%
“….21 taken from[35].Note th a t the axes ranges are not labeled, as th e existence and extent of each regime would vary w ith fuel form ulation. Portions of this figure have been experim entally explored for various fuels (for exam ple in References[15] and[16]) b u t a com plete picture of the regression ra te functionality has not been produced over large pressure 83 and m ass flux ranges for any fuel to date.…”
mentioning
confidence: 99%