Volume 34 Issue 4
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An Kai. Head shape recognition of debris cloud producedby normal impact of spherical projectile[J]. Explosion And Shock Waves, 2014, 34(4): 404-408. doi: 10.11883/1001-1455(2014)04-0404-05
Citation: An Kai. Head shape recognition of debris cloud producedby normal impact of spherical projectile[J]. Explosion And Shock Waves, 2014, 34(4): 404-408. doi: 10.11883/1001-1455(2014)04-0404-05

Head shape recognition of debris cloud producedby normal impact of spherical projectile

doi: 10.11883/1001-1455(2014)04-0404-05
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  • Corresponding author: An Kai, ankai2007@163.com
  • Received Date: 2012-12-26
  • Rev Recd Date: 2013-03-08
  • Publish Date: 2014-07-25
  • There are various models of the debris cloud produced by normal impact of spherical projectile, but a common ground of the models is that the head shape of the debris cloud is ellipsoidal. In order to identify the head shape of the debris cloud, a new method was presented, which extracts the edge of the debris cloud image, searches for the optimal quadratic function fitting of the edge, and then adjudge the head shape according to fitting results. The optimal fitting algorithm of quadratic function was given as well. Based on four of debris cloud images of references, the recognition was carried out after extraction of their head shape and the optimal quadratic function fitting, and the results show that there are three images with parabolic head shape, one image with elliptic head shape. Thus, the head shape of debris clouds includes not only the rotation ellipsoid, but also the rotation paraboloid.
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  • [1]
    Swift H F. Impact dynamics[M]. New York: John Wiley & Sons, 1982.
    [2]
    Schonberg W P, Williamsen J E. Empirical hole size and crack length models for dual-wall systems under hypervelocity projectile impact[J]. International Journal of Impact Engineering, 1997, 20(6): 711-722. http://www.sciencedirect.com/science/article/pii/S0734743X9787457X
    [3]
    唐蜜, 柏劲松, 李平, 等.超高速撞击中影响碎片云形状因素分析[J].高压物理学报, 2007, 21(4): 425-431. doi: 10.3969/j.issn.1000-5773.2007.04.016

    Tang Mi, Bai Jing-song, Li Ping, et al. Factors analysis of debris cloud's shape of hypervelocity impact[J]. Chinese Journal of High Pressure Physics, 2007, 21(4): 425-431. doi: 10.3969/j.issn.1000-5773.2007.04.016
    [4]
    Schäfer F K. An engineering fragmentation model for the impact of spherical projectiles on thin metallic plates[J]. International Journal of Impact Engineering, 2006, 33(1): 745-762. http://www.sciencedirect.com/science/article/pii/S0734743X06001667
    [5]
    贾光辉, 黄海.超高速撞击航天器二次碎片云能量特性分析[J].北京航空航天大学学报, 2007, 33(3): 257-260. doi: 10.3969/j.issn.1001-5965.2007.03.002

    Jia Guang-hui, Huang Hai. Characters on kinetics energy of debris cloud in spacecraft[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(3): 257-260. doi: 10.3969/j.issn.1001-5965.2007.03.002
    [6]
    张伟, 庞宝君, 贾斌, 等.弹丸超高速撞击防护屏碎片云数值模拟[J].高压物理学报, 2004, 18(1): 47-52. doi: 10.3969/j.issn.1000-5773.2004.01.009

    Zhang Wei, Pang Bao-jun, Jia Bin, et al. Numerical simulation of debris cloud produced by hypervelocity impact of projectile on bumper[J]. Chinese Journal of High Pressure Physics, 2004, 18(1): 47-52. doi: 10.3969/j.issn.1000-5773.2004.01.009
    [7]
    胡震东, 黄海, 贾光辉.超高速撞击碎片云特性分析[J].弹箭与制导学报, 2006, 26(1): 747-749. doi: 10.3969/j.issn.1673-9728.2006.01.237

    Hu Zhen-dong, Huang Hai, Jia Guang-hui. The characteristics of debris cloud produced by hypervelocity impact[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2006, 26(1): 747-749. doi: 10.3969/j.issn.1673-9728.2006.01.237
    [8]
    Poormon K L, Piekutowski A J. Comparisons of cadmium and aluminum debris clouds[J]. International Journal of Impact Engineering, 1995, 17(4): 639-648. http://www.sciencedirect.com/science/article/pii/0734743X9599887W
    [9]
    Piekutowski A J. Formation and description of debris clouds produced by hypervelocity impact[Z]. NASA, 1996.
    [10]
    Castleman K R. Digital image processing[M]. New Jersey: Prentice-Hall International, Inc, 1996.
    [11]
    安凯, 邢进生, 邱祖廉.模糊神经网络的二阶段变半径随机搜索算法[J].自动化学报, 2000, 26(5): 616-622. http://www.cnki.com.cn/Article/CJFDTotal-MOTO200005004.htm

    An Kai, Xing Jin-sheng, Qin Zu-lian. Two-stage random search algorithm of fuzzy neural network with variable radius[J]. Acta Automatica Sinica, 2000, 26(5): 616-622. http://www.cnki.com.cn/Article/CJFDTotal-MOTO200005004.htm
    [12]
    Kundu P K. Fluid mechanics[M]. California: Elsevier Academic Press, 2004: 283-285.
    [13]
    Nakayama Y. Introduction to fluid mechanics[M]. Tokyo: Yokendo Co Ltd, 2000: 82-94.
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