Morphology and distribution characteristics of ejecta cloud generated due to micrometeoroids or space debris impacting a spacecraft surface buffer structure were studied. A two-stage light gas gun was used to accelerate aluminum projectiles to perform hypervelocity impact tests. It was shown that aluminum projectiles’ impact an aluminum thin plate at hypervelocity to sputter high temperature particles or even tiny molten droplets, etc. flash heat sources, then ejecta cloud clusters composed of metal dust and micro-debris with low velocity; those ejecta cloud clusters produced by normal impact reveal a ring cone shape distribution, the higher the impact speed, the denser the distribution, within the impact speed range of 3-5km/s. Ultra-high speed camera HSFC-PRO was employed to capture the image evolution of ejecta cloud at different instants during initial impact stage. Ejecta cloud’s one dimensional expansion velocity was estimated through tracking front outlines of flash heat sources and ejecta cloud clusters. Attitude excursion of non-sphere projectiles during impacting might have more effects on distribution of ejecta cloud clusters.
王猛 冯敏慧 唐恩凌 韩雅菲 刘淑华. 铝弹丸超高速正撞击铝合金薄板产生溅射物云特性研究[J]. 振动与冲击, 2018, 37(5): 188-193.
WANG Meng FENG Minhui TANG Enling HAN Yafei LIU Shuhua. Characteristics of ejecta cloud generated due to aluminum projectiles’ impacting aluminum thin plate at hypervelocity. JOURNAL OF VIBRATION AND SHOCK, 2018, 37(5): 188-193.
[1] 韩增尧,庞宝君.空间碎片防护研究最新进展[J].航天器环境工程, 2012,29(4):369-377.
Han Zengyao, Pang Baojun. Review of recent development of space debris protection research[J].Spacecraft environment engineering, 2012, 29(4): 369-377.
[2] 刘源, 庞宝君. 基于贝叶斯正则化BP神经网络的铝平板超高速撞击损伤模式识别[J]. 振动与冲击, 2016, 35(12): 22-27.
Liu Yuan, Pang Baojun. Hypervelocity impact damage pattern recognition on aluminum plate based on Bayesian Regularization BP neural network[J]. Journal of vibration and shock, 2016, 35(12): 22-27.
[3] M. Nishida, Y. Hiraiva, K. Hayashi, et al. Ejecta cone angle and Ejecta size following a non-perforating hypervelocity impact[J]. Procedia Engineering, 2015,103:444-449.
[4] MA Zhaoxia, HUANG Jie, SHI Anhua,et al. The analysis technique for ejecta cloud temperature based on atomic spectrum[J]. Procedia Engineering, 2015,103:357-364
[5] Y. Fujimura, Y. Akahoshi, T. Koura, et al. Revision plan of ISO11227 considering oblique impact tests[J]. Procedia Engineering, 2015, 103:129-134
[6] W. P. Schonberg. Characterizing secondary debris impact ejecta[J]. International Journal of Impact Engineering. 2001,26(1):713-724
[7] Masahiro Nishida, Hiroaki Kato, Koichi Hayashi, et al. Ejecta size distribution resulting from hypervelocity impact of spherical projectiles on CFRP laminates[J]. Procedia Engineering, 2013, 58:533-542.
[8] M. Rival, J.C. Mandeville. Modeling of Ejecta Produced upon Hypervelocity Impacts[J].Space Debris, 1999,1(1):45-57
[9] 郑伟,庞宝君,彭科科,等. 超高速正撞击溅射物实验与仿真研究[J].高压物理学报, 2012,26(6):621-626.
ZHENG Wei, PANG Baojun, PENG Keke, et al. Hypervelocity impact experiment and simulation for ejecta[J]. Chinese Journal of High Pressure Physis, 2012, 2012,26(6):621-626.
[10] 鞠芳菲.溅射物轨道演化分析及其碎片环境建模研究[D]. 哈尔滨, 哈尔滨工业大学硕士学位论文,2014.
Ju Fangfei. Research on evolution and space environment engineering model of ejecta[D]. Dissertation for the Master Degree of Harbin Institute of Technology,2014.
[11] Zhang Q, Chen Y, Huang F, et al. Experimental study on expansion characteristics of debris clouds produced by oblique hypervelocity impact of LY12 aluminum projectiles with thin LY12 aluminum plates[J]. International Journal of Impact Engineering, 2008, 35(12):1884-1891.
[12] J.M. Mihaly, J.D.Tandy, M.A.Adams, et al. In situ diagnostics for a small-bore hypervelocity impact facility[J]. International journal of impact engineering, 2013,62:13-26.
