为研究靶板材料性能对爆炸成型弹丸(Explosively Formed Projectile,EFP)侵彻靶后破片特性的影响,开展EFP侵彻不同材料靶板(Q235钢、45号钢、装甲钢、2A12铝)后效破片特性试验,采用X光摄影方法观测靶后破片云形态及膨胀尺寸,通过布置多...为研究靶板材料性能对爆炸成型弹丸(Explosively Formed Projectile,EFP)侵彻靶后破片特性的影响,开展EFP侵彻不同材料靶板(Q235钢、45号钢、装甲钢、2A12铝)后效破片特性试验,采用X光摄影方法观测靶后破片云形态及膨胀尺寸,通过布置多层纤维板获得破片散布特性,并对靶后破片进行回收。研究结果表明:在靶板密度一定的情况下,靶板强度主要影响破片云轴向膨胀能力,对径向膨胀能力影响很小;靶后破片环形毁伤区的飞散角位于20°~25°范围内差别不大,但是靶板背面出口崩落会造成靶后破片飞散角出现极大值,随着钢靶强度的增大,靶后破片径向散布增强,破片总数减小,但是大质量段钢破片数量增多;不同强度钢靶产生的钢破片平均尺寸满足Kipp等提出的基于材料流动应力的碎片尺寸模型。展开更多
High speed photography technique is potentially the most effective way to measure the motion parameter of warhead fragment benefiting from its advantages of high accuracy,high resolution and high efficiency.However,it...High speed photography technique is potentially the most effective way to measure the motion parameter of warhead fragment benefiting from its advantages of high accuracy,high resolution and high efficiency.However,it faces challenge in dense objects tracking and 3D trajectories reconstruction due to the characteristics of small size and dense distribution of fragment swarm.To address these challenges,this work presents a warhead fragments motion trajectories tracking and spatio-temporal distribution reconstruction method based on high-speed stereo photography.Firstly,background difference algorithm is utilized to extract the center and area of each fragment in the image sequence.Subsequently,a multi-object tracking(MOT)algorithm using Kalman filtering and Hungarian optimal assignment is developed to realize real-time and robust trajectories tracking of fragment swarm.To reconstruct 3D motion trajectories,a global stereo trajectories matching strategy is presented,which takes advantages of epipolar constraint and continuity constraint to correctly retrieve stereo correspondence followed by 3D trajectories refinement using polynomial fitting.Finally,the simulation and experimental results demonstrate that the proposed method can accurately track the motion trajectories and reconstruct the spatio-temporal distribution of 1.0×10^(3)fragments in a field of view(FOV)of 3.2 m×2.5 m,and the accuracy of the velocity estimation can achieve 98.6%.展开更多
文摘为研究靶板材料性能对爆炸成型弹丸(Explosively Formed Projectile,EFP)侵彻靶后破片特性的影响,开展EFP侵彻不同材料靶板(Q235钢、45号钢、装甲钢、2A12铝)后效破片特性试验,采用X光摄影方法观测靶后破片云形态及膨胀尺寸,通过布置多层纤维板获得破片散布特性,并对靶后破片进行回收。研究结果表明:在靶板密度一定的情况下,靶板强度主要影响破片云轴向膨胀能力,对径向膨胀能力影响很小;靶后破片环形毁伤区的飞散角位于20°~25°范围内差别不大,但是靶板背面出口崩落会造成靶后破片飞散角出现极大值,随着钢靶强度的增大,靶后破片径向散布增强,破片总数减小,但是大质量段钢破片数量增多;不同强度钢靶产生的钢破片平均尺寸满足Kipp等提出的基于材料流动应力的碎片尺寸模型。
基金Key Basic Research Project of Strengthening the Foundations Plan of China (Grant No.2019-JCJQ-ZD-360-12)National Defense Basic Scientific Research Program of China (Grant No.JCKY2021208B011)to provide fund for conducting experiments。
文摘High speed photography technique is potentially the most effective way to measure the motion parameter of warhead fragment benefiting from its advantages of high accuracy,high resolution and high efficiency.However,it faces challenge in dense objects tracking and 3D trajectories reconstruction due to the characteristics of small size and dense distribution of fragment swarm.To address these challenges,this work presents a warhead fragments motion trajectories tracking and spatio-temporal distribution reconstruction method based on high-speed stereo photography.Firstly,background difference algorithm is utilized to extract the center and area of each fragment in the image sequence.Subsequently,a multi-object tracking(MOT)algorithm using Kalman filtering and Hungarian optimal assignment is developed to realize real-time and robust trajectories tracking of fragment swarm.To reconstruct 3D motion trajectories,a global stereo trajectories matching strategy is presented,which takes advantages of epipolar constraint and continuity constraint to correctly retrieve stereo correspondence followed by 3D trajectories refinement using polynomial fitting.Finally,the simulation and experimental results demonstrate that the proposed method can accurately track the motion trajectories and reconstruct the spatio-temporal distribution of 1.0×10^(3)fragments in a field of view(FOV)of 3.2 m×2.5 m,and the accuracy of the velocity estimation can achieve 98.6%.
