Calculation for Primary Combustion Characteristics of Boron-Based Fuel-Rich Propellant Based on BP Neural Network. (12th February 2012)

• Record Type: Journal Article
• Authors: Wan'e, Wu; Zuoming, Zhu
• Other Names: Rakopoulos Constantine D. Academic Editor.
• Is Part Of: Journal of combustion. Volume 2012(2012)
• Publication Date: 2012-02-12
• Subjects: Combustion -- Periodicals; 541.36105
• DOI: 10.1155/2012/635190
• Languages: English
• ISSNs: 2090-1968

Abstract

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.