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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Format: | Article |
Language: | English |
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Wiley
2012-01-01
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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. |
format | Article |
id | doaj-art-b6b2a445b9e84315a870f57e292bc862 |
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 |