Calculation for Primary Combustion Characteristics of Boron-Based Fuel-Rich Propellant Based on BP Neural Network

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 wa...

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Main Authors: Wu Wan'e, Zhu Zuoming
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Journal of Combustion
Online Access:http://dx.doi.org/10.1155/2012/635190
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author Wu Wan'e
Zhu Zuoming
author_facet Wu Wan'e
Zhu Zuoming
author_sort Wu Wan'e
collection DOAJ
description 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.
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institution Kabale University
issn 2090-1968
2090-1976
language English
publishDate 2012-01-01
publisher Wiley
record_format Article
series Journal of Combustion
spelling doaj-art-b6b2a445b9e84315a870f57e292bc8622025-02-03T05:52:51ZengWileyJournal of Combustion2090-19682090-19762012-01-01201210.1155/2012/635190635190Calculation for Primary Combustion Characteristics of Boron-Based Fuel-Rich Propellant Based on BP Neural NetworkWu Wan'e0Zhu Zuoming1The Fifth Department, Xi'an Research Institute of Hi-Tech, Xi'an, Shaanxi 710025, ChinaThe Fifth Department, Xi'an Research Institute of Hi-Tech, Xi'an, Shaanxi 710025, ChinaA 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.http://dx.doi.org/10.1155/2012/635190
spellingShingle Wu Wan'e
Zhu Zuoming
Calculation for Primary Combustion Characteristics of Boron-Based Fuel-Rich Propellant Based on BP Neural Network
Journal of Combustion
title Calculation for Primary Combustion Characteristics of Boron-Based Fuel-Rich Propellant Based on BP Neural Network
title_full Calculation for Primary Combustion Characteristics of Boron-Based Fuel-Rich Propellant Based on BP Neural Network
title_fullStr Calculation for Primary Combustion Characteristics of Boron-Based Fuel-Rich Propellant Based on BP Neural Network
title_full_unstemmed Calculation for Primary Combustion Characteristics of Boron-Based Fuel-Rich Propellant Based on BP Neural Network
title_short Calculation for Primary Combustion Characteristics of Boron-Based Fuel-Rich Propellant Based on BP Neural Network
title_sort calculation for primary combustion characteristics of boron based fuel rich propellant based on bp neural network
url http://dx.doi.org/10.1155/2012/635190
work_keys_str_mv AT wuwane calculationforprimarycombustioncharacteristicsofboronbasedfuelrichpropellantbasedonbpneuralnetwork
AT zhuzuoming calculationforprimarycombustioncharacteristicsofboronbasedfuelrichpropellantbasedonbpneuralnetwork