Calculation for Primary Combustion Characteristics of Boron-Based Fuel-Rich Propellant Based on BP Neural Network
Joint Authors
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-02-12
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Wan'e, Wu& Zuoming, Zhu. 2012. Calculation for Primary Combustion Characteristics of Boron-Based Fuel-Rich Propellant Based on BP Neural Network. Journal of Combustion،Vol. 2012, no. 2012, pp.1-6.
https://search.emarefa.net/detail/BIM-486936
Modern Language Association (MLA)
Wan'e, Wu& Zuoming, Zhu. Calculation for Primary Combustion Characteristics of Boron-Based Fuel-Rich Propellant Based on BP Neural Network. Journal of Combustion No. 2012 (2012), pp.1-6.
https://search.emarefa.net/detail/BIM-486936
American Medical Association (AMA)
Wan'e, Wu& Zuoming, Zhu. Calculation for Primary Combustion Characteristics of Boron-Based Fuel-Rich Propellant Based on BP Neural Network. Journal of Combustion. 2012. Vol. 2012, no. 2012, pp.1-6.
https://search.emarefa.net/detail/BIM-486936
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-486936