火箭发动机尾部结构优化研究

推进技术 ›› 2017, Vol. 38 ›› Issue (12): 2822-2829.

火箭发动机尾部结构优化研究

武侠¹,曾旭²,黄坚¹,宋汉强³

中国人民解放军驻447厂军事代表室，内蒙古包头 014033,内蒙动力机械研究所，内蒙古呼和浩特 010010,中国人民解放军驻447厂军事代表室，内蒙古包头 014033,海军航空工程学院飞行器工程系，山东烟台 264001

发布日期:2021-08-15
作者简介:武侠，男，硕士，工程师，研究领域为发动机可靠性与推进剂性能。
基金资助:
总装备部武器装备军内科研项目(KD2014070351B11001)。

Research on Tail Structure Optimization for Solid Rocket Motor

PLA Military Representatives Office Stationed in 447th Factory，Baotou 014033，China,Inner Mongolia Power Machinery Institute，Huhhot 010010，China,PLA Military Representatives Office Stationed in 447th Factory，Baotou 014033，China and Department of Aircraft Engineering，Naval Aeronautical Engineering Institute，Yantai 264001，China

Published:2021-08-15

摘要/Abstract

摘要： 针对火箭发动机尾部壳体烧穿故障导致系统级失效的突出问题，运用贝叶斯网络模型推得影响系统可靠性的薄弱环节，结合试件性能与残骸分解数据，分析系统故障机理。采用有限元数值计算手段，由流场计算分析固定支架结构破坏后发动机内流场情况，进而明确系统结构优化方案。经结构优化考核试验，火箭发动机外壁温升降低62.17%，系统可靠性提高0.62%，实现可靠性增长的目的。

关键词: 固体火箭发动机；贝叶斯网络；有限元分析；结构优化；可靠性增长

Abstract: Aiming at the problem of the solid rocket motor tail shell burnt-through fault which caused system inactivation， the Bayesian network model was obtained for getting weakness of influenced system reliability. The fault mechanics was analyzed based on specimen performance and debris data. Finite element method was used for ensuring system structure optimization scheme. Flow field numerical simulation was employed for analyzing the inner flow field situation of stationary barrier in the damage state. The test results of optimized structure show that the temperature increment ratio of the rocket motor shell reduced by 62.17%， the system reliability increased by 0.62%， and the reliability growth aim achieved.

Key words: Solid rocket motor；Bayesian network；Finite element analysis；Structure optimization；Reliability growth

武侠,曾旭,黄坚,宋汉强. 火箭发动机尾部结构优化研究[J]. 推进技术, 2017, 38(12): 2822-2829.

WU Xia¹,ZENG Xu²,HUANG Jian¹,SONG Han-qiang³. Research on Tail Structure Optimization for Solid Rocket Motor[J]. Journal of Propulsion Technology, 2017, 38(12): 2822-2829.

参考文献

[1] 张炜, 张玉祥. 导弹动力系统故障机理分析与诊断技术[M]. 西安:西北工业大学出版社, 2006: 80-82.
[2] 朱卫兵. 固体火箭发动机药柱结构完整性及可靠性分析[D]. 哈尔滨:哈尔滨工程大学, 2005.
[3] Duane J T. Learning Curve Approach to Reliability Monitoring[J]. IEEE Trans.Aerospace, 1964, 2: 563-566.
[4] Myere R H, Wong K, Gordy H M. Reliability Engineering for Electronic System[M]. USA: Wiley, 1964.
[5] Amstader B L. Reliability Mathematics: Fundamentals, Procedures[M]. New York: McGraw Hill, 1971.
[6] Dhillon B S. Reliability Engineering in System Design and Operation[M]. New York: Van Nostrand Reinhold, 1983.
[7] 刘飞. 固体火箭发动机可靠性增长试验理论及应用研究[D]. 长沙:国防科技大学, 2006.
[8] 邢耀国, 熊华, 李高春, 等. 固体火箭发动机健康监测技术的发展和应用[J]. 海军航空工程学院学报, 2008, 23(6): 601-605.
[9] 邢耀国, 董可海, 沈伟, 等. 固体火箭发动机使用工程[M]. 北京:国防工业出版社, 2010: 184-186.
[10] Pearl J Fusion. Propagation and Structuring in Belief Networks[J]. Artificial Intelligence, 1986, 29(3): 241-288.
[11] 张晓光, 王长辉, 刘宇, 等. 小推力长时间工作固体火箭发动机C/C喉衬的烧蚀与沉积[J]. 推进技术, 2011, 32(4): 586-590. (ZHANG Xiao-guang, WANG Chang-hui, LIU Yu, et al. Erosion and Deposition of Carbon-Carbon Nozzle Inserts in Low-Thrust Long-Duration Solid Rocket Motors[J]. Journal of Propulsion Technology, 2011, 32(4): 586-590.)
[12] 邢耀国, 金广文, 许开春, 等. 某型固体火箭发动机综合性能试验与寿命评估[J]. 推进技术, 2004, 25(3): 176-179. (XING Yao-guo, JIN Guang-wen, XU Kai-chun, et al. Comprehensive Property Tests and Service Life Evaluation for Solid Rocket Motors[J]. Journal of Propulsion Technology, 2004, 25(3): 176-179.)
[13] 刘飞, 窦毅芳, 张为华. 固体火箭发动机加延时间试验的可靠性增长Bayes分析[J]. 固体火箭技术, 2007, 30(3): 201-206.
[14] 张连文, 郭海鹏. 贝叶斯网引论[M]. 北京:科学出版社, 2006.
[15] 周忠宝, 董豆豆, 周经伦. 贝叶斯网络在可靠性分析中的应用[J]. 系统工程理论与实践, 2006, 26(6):95-100.
[16] 李彦彬, 邓建军. 固体火药柱的可靠性评定及寿命预测[J]. 弹箭与制导学报, 2007, (5): 143-144.
[17] 张晓军, 常新龙. 固体火箭发动机粘接界面湿热老化实验[J]. 推进技术, 2013, 34(4): 557-561. (ZHANG Xiao-jun, CHANG Xin-long. Comprehensive Property Tests and Service Life Evaluation for Solid Rocket Motors[J]. Journal of Propulsion Technology, 2013, 34(4): 557-561.)
[18] 王春光, 任全彬, 田维平, 等. 固体火箭发动机壳体强度热力耦合分析[J]. 推进技术, 2013, 34(1): 109-114. (WANG Chun-guang, REN Quan-bin, TIAN Wei-ping, et al. Experimental Investigation for Hygrothermal Accelerated Aging on Adhesive Interface of Solid Rocket Motor[J]. Journal of Propulsion Technology, 2013, 34(1): 109-114.)
[19] 王元有. 固体火箭发动机设计[M]. 北京:国防工业出版社, 1984: 256-259.
[20] Smith A F M. A Bayesian Note on Reliability Growth During a Development Testing Program[J]. IEEE Trans.Reliability, 1977, 26: 346-347.
[21] Fard N S, Dietrich D L. A Bayes Reliability Growth Model for a Development Testing Program[J]. IEEE Trans.Reliability, 1987, 36: 568-572.
[22] Weinrich M C, Gross A J. The Barlow-Scheuer Reliability Growth Model from a Bayesian Viewpoint[J]. Technometrics, 1978, 20(3): 249-254.
[23] 尹晓伟, 钱文学, 谢里阳. 系统可靠性的贝叶斯网络评估方法[J]. 航空学报, 2008, 29(6): 1482-1490.
[24] 阎超. 计算流体力学方法及应用[M]. 北京:北京航空航天大学出版社, 2006.
[25] 杨继坤, 徐廷学, 董琪, 等. 固体火箭发动机装药贮存寿命预测方法[J]. 推进技术, 2013, 34(3): 416-421. (YANG Ji-kun, XU Ting-xue, DONG Qi, et al. Propellant Storage Life Prediction for Solid Rocket Motor[J]. Journal of Propulsion Technology, 2013, 34(3): 416-421.)　　　　　　　　　　　　　*　收稿日期:2016-08-03；修订日期:2016-11-02。基金项目:总装备部武器装备军内科研项目(KD2014070351B11001)。作者简介:武侠,男,硕士,工程师,研究领域为发动机可靠性与推进剂性能。E-mail: 408845059@qq.com(编辑:史亚红)