Abstract
Based on the experimental burning data under gas and particle erosion, Artificial Neural Network technique using BP arithmetic was used to study analysis the burning rate property of HTPB solid propellant. Training and prediction results show that the error of BP arithmeticis less than 4%. The results indicate that the burning rate of HTPB propellant can be affected by both gas phase and particle velocity. Burning rate is sensitive to particle velocity at lower gas phase velocity. There exists a threshold of particle velocity. If particle velocity exceeds this value, burning rate of solid propellant is dominant by particle velocity and it increases dramatically.
Original language | English |
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Pages (from-to) | 278-281 |
Number of pages | 4 |
Journal | Tuijin Jishu/Journal of Propulsion Technology |
Volume | 29 |
Issue number | 3 |
State | Published - Jun 2008 |
Keywords
- BP arithmetic
- Burning rate
- Erode
- Solid propellant