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EFP垂直侵彻靶板后效破片云形状描述 被引量:4

Shape Description of Behind-armor Debris Cloud from Vertical Penetration of Target Plate by EFP
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摘要 为了准确描述爆炸成型弹丸(Explosively Formed Projectile,EFP)垂直侵彻有限厚靶板后效破片云的形状,基于量纲分析及正交设计理论,利用AUTODYN软件中SPH算法研究了EFP成型参数、弹靶材料参数对靶后破片云形状的影响,建立了EFP垂直侵彻靶后破片云形状的数学描述模型。利用该模型计算了EFP垂直侵彻靶后破片云形状参量长半轴,并和仿真结果及相关试验结果进行对比,结果表明,该模型计算的后效破片云长半轴结果与相关试验结果误差控制在3%以内,能够准确描述EFP垂直侵彻有限厚靶板后效破片云的形状。 In order to accurately describe the shape of behind-armor debris cloud from vertical penetration of a finite-thickness target plate by an explosively formed projectile(EFP),the dimensional analysis and the theory of orthogonal design were used as bases in this work.The effect of EFP molding parameters and the material parameters of projectile and target plate on the shape of behind-armor debris cloud were studied using SPH algorithm in AUTODYN software.A mathematical description model of the debris cloud shape behind armor from vertical penetration by an EFP was established.The shape parameter of major semi-axis of behind-armor debris cloud from a vertical EFP penetration was calculated using that model and compared with the simulated and related experimental results.It is proved that the error between the calculated major semi-axis result of debris cloud by that model and the related experimental result is controlled within 3%,and the shape of behind-armor debris cloud formed by an vertical EFP penetration can be described accurately with this model.
作者 黄炫宁 李伟兵 郭腾飞 李文彬 王晓鸣 HUANG Xuan-ning;LI Wei-bing;GUO Teng-fei;LI Wen-bin;WANG Xiao-ming(ZNDY of Ministerial Key Laboratory,Nanjing University of Science and Technology,Nanjing 210094,China;Xi'an Modern Control Technology Research Institute,Xi'an 710065,China)
出处 《含能材料》 EI CAS CSCD 北大核心 2020年第11期1068-1075,I0003,共9页 Chinese Journal of Energetic Materials
基金 国家自然科学基金项目(11972018),装备预研兵器工业联合基金(6141B012858),江苏省普通高校研究生科研创新计划项目(KYCX19_0328)。
关键词 爆炸成型弹丸(EFP) 垂直侵彻 靶后破片云 光滑质点流体动力学(SPH) 描述模型 explosively formed projectile(EFP) vertical penetration behind-armor debris cloud smoothed particle hydrodynamics(SPH) description model
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