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 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Wu Wan'e;Zhu Zuoming
Journal journal of neuroscience methods
Year 2012
DOI
10.1155/2012/635190
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