The Accurate Prediction Model on the Descent Segment of Solid Rocket Motor Interior Ballistic

After the combustion of the solid rocket motor's grain is basically completed, residual gases continue to be expelled due to remaining grain burning and ablation of the insulation layer in the descent segment of the internal ballistic, generating additional thrust. The paper takes the moment when the combustion of the grain is essentially complete as the starting point of the descent segment, and employs solid modeling to calculate the residual grain burning surface during descent and considering the insulation layer ablation mechanism, combining theoretical mathematical models of motor operation with semi-empirical formulas derived from experiments, presenting an engineering algorithm for the descent segment. The validation of the engineering algorithm was conducted through firing test of ablative motor. The results indicated that the engineering algorithm had a maximum relative error of 11.6%. The model can reasonably predict the energy of the descent segment.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/aaac63570.2024.11027381
Primary Topic
Rocket and propulsion systems research
Type
article
Field-Weighted Citation Impact
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article

The Accurate Prediction Model on the Descent Segment of Solid Rocket Motor Interior Ballistic

Lin Sun, Futing Bao, Lei Zheng, Wang Kaixuan et al.
Rocket and propulsion systems research
article

The Accurate Prediction Model on the Descent Segment of Solid Rocket Motor Interior Ballistic

Lin Sun, Futing Bao, Lei Zheng, Wang Kaixuan, Gao Chenmin
article en

Abstract

After the combustion of the solid rocket motor's grain is basically completed, residual gases continue to be expelled due to remaining grain burning and ablation of the insulation layer in the descent segment of the internal ballistic, generating additional thrust. The paper takes the moment when the combustion of the grain is essentially complete as the starting point of the descent segment, and employs solid modeling to calculate the residual grain burning surface during descent and considering the insulation layer ablation mechanism, combining theoretical mathematical models of motor operation with semi-empirical formulas derived from experiments, presenting an engineering algorithm for the descent segment. The validation of the engineering algorithm was conducted through firing test of ablative motor. The results indicated that the engineering algorithm had a maximum relative error of 11.6%. The model can reasonably predict the energy of the descent segment.

Northwestern Polytechnical University (CN)
Affordable and clean energy
Openalex Percentile: Top 51%
Rocket and propulsion systems research
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