calculation for primary combustion characteristics of boron-based fuel-rich propellant based on bp neural network
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ID: 173944
2012
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Abstract
A practical scheme for selecting characterization parameters of boron-based fuel-rich propellant formulation was put forward; a calculation model for primary combustion characteristics of boron-based fuel-rich propellant based on backpropagation neural network was established, validated, and then was used to predict primary combustion characteristics of boron-based fuel-rich propellant. The results show that the calculation error of burning rate is less than ±7.3%; in the formulation range (hydroxyl-terminated polybutadiene 28%–32%, ammonium perchlorate 30%–35%, magnalium alloy 4%–8%, catocene 0%–5%, and boron 30%), the variation of the calculation data is consistent with the experimental results.
| Reference Key |
wan'e2012journalcalculation
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|---|---|
| Authors | ;Wu Wan'e;Zhu Zuoming |
| Journal | journal of neuroscience methods |
| Year | 2012 |
| DOI |
10.1155/2012/635190
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| URL | |
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