摘要
                
                    改进了在动爆条件下基于弹药炸点的破片区截测速方法,分析了破片贯穿靶板后的速度偏转现象,提出了一种采用归一化方法结合最小距离原则进行破口点集配准,以此识别破片飞散方向的方法。模拟试验结果表明,63.3%的破片角度测量误差绝对值在4°以内,86.7%的破片测量误差绝对值在8°以内。该方法易于实施,数据处理简单,为实战条件下弹药威力场的测试及毁伤效应研究提供了技术手段。
                
                The velocity deflection angle after the fragments penetrated the target was studied,and the method of normalization combined with the principle of minimum distance was proposed for point sets registration.According to the results of the simulation test,63.3%of the fragment angle measurement errors are within 4°,and 86.7%of the fragments are within 8°.This method is easy to carry out and simple in data processing,which provides a technical means for testing the power field of ammunition and studying the damage effect under actual combat conditions.
    
    
                作者
                    陈尧禹
                    蒋海燕
                    仲凯
                    苏健军
                CHEN Yaoyu;JIANG Haiyan;ZHONG Kai;SU Jianjun(Xi’an Modern Chemistry Research Institute, Xi’an 710000, China)
     
    
    
                出处
                
                    《兵器装备工程学报》
                        
                                CSCD
                                北大核心
                        
                    
                        2022年第2期78-84,共7页
                    
                
                    Journal of Ordnance Equipment Engineering
     
            
                基金
                    稳定支持项目。
            
    
                关键词
                    破片威力场
                    破片方向
                    区截测速
                    破片过靶偏转
                    点集配准
                
                        fragment power field
                        direction of fragment
                        zone-block velocity measurement
                        deflection angle of fragment velocity
                        point sets registration
                
     
    
    
                作者简介
陈尧禹(1996—),男(布依族),硕士研究生,E-mail:chen_yy15@163.com;通信作者:苏健军(1962—),男,研究员,E-mail:sjj3582@sina.com。