2014
DOI: 10.2514/1.b35010
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Damping Coefficient Prediction of Solid Rocket Motor Nozzle Using Computational Fluid Dynamics

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Cited by 14 publications
(7 citation statements)
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“…12. Multi-mode decay was predicted in simulations of Afroz and Chakraborty (20) due to use of cosine function for the mode shape in a non-cylindrical geometry. With the procedure outlined here to isolate a single mode, decay at a single frequency is predicted.…”
Section: Resultsmentioning
confidence: 99%
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“…12. Multi-mode decay was predicted in simulations of Afroz and Chakraborty (20) due to use of cosine function for the mode shape in a non-cylindrical geometry. With the procedure outlined here to isolate a single mode, decay at a single frequency is predicted.…”
Section: Resultsmentioning
confidence: 99%
“…The only concern is regarding the flow-turning loss, which some studies (18) have claimed depends on radial distribution of vorticity. This, however, can now be refuted using the fact that both laminar and turbulent simulations predict almost equal damping rates (20) . It should, therefore, be possible to capture the flow-turning loss in quasi-1D simulations as long as the source terms to account for mass addition at grain boundaries correspond to a no-slip condition.…”
Section: Computational Toolsmentioning
confidence: 99%
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“…Nevertheless, the effect of the turbulence transition inside the SRM chamber was not considered. Javed and Chakraborty [15] numerically evaluated nozzle damping in a solid rocket motor using ANSYS CFX. A sinusoidal pressure pulse was enforced at the closed end of a channel-fitted with nozzle, for a given period.…”
Section: Introductionmentioning
confidence: 99%
“…Geometric evolution of grain boundaries and performance parameters 11 are predicted, erosive burning correlations for axisymmetric geometries are extended to complex grain shapes 12,13 and accumulated slag were estimated for a large segmented rockets with submerged nozzle 14 . Nozzle damping coefficients were estimated numerically 15 16 emphasised that the motor instability is linked to the hydro-dynamic instability of the mean flow sheared regions. To predict motor flow driven instabilities, we need to use a model that has the ability to describe, in the same framework, both acoustic and vortical waves.…”
Section: Introductionmentioning
confidence: 99%