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作 者:祖衍 徐亚栋[1] 羊柳[1] ZU Yan;XU Yadong;YANG Liu(School of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing 210094,Jiangsu,China)
机构地区:[1]南京理工大学机械工程学院,江苏南京210094
出 处:《火炮发射与控制学报》2023年第4期83-88,共6页Journal of Gun Launch & Control
摘 要:为实现火炮后坐过程中的高效缓冲,研究新型弹性胶泥缓冲器减阻技术,设计了一种弹性胶泥为缓冲介质的新型缓冲器,建立压缩过程中弹性胶泥缓冲器的动力学模型,并利用落锤冲击试验和胶泥的可压缩性试验,结合自适应权重的粒子群算法(PSO)对模型中的关键参数进行辨识,最后通过仿真计算缓冲器的后坐阻力,与某火炮环簧缓冲装置的后坐阻力进行对比。结果表明,弹性胶泥缓冲器落锤冲击试验中,仿真数据与试验数据吻合较好,基于自适应权重的粒子群算法(PSO)对缓冲器模型中关键参数的辨识具有较高精度,弹性胶泥缓冲器的后坐缓冲效果优于该型火炮所用的环簧缓冲装置,为火炮后坐减阻、实现高效缓冲提供了新的思路。In order to realize high efficiency buffer in the recoil process of artillery,the new drag reduction technology of elastomer buffers is studied.A new buffer using elastic cement as the buffer medium is designed,and a dynamic model of the elastomer buffer during compression is established.The key parameters of the model are identified by impact and compressibility tests of the cement with key parameters identified by the adaptive weight particle swarm optimization(PSO)algorithm.Finally,the recoil resistance of the buffer is calculated by simulation and compared with that of an artillery ring spring buffer device.The results show that the simulation data are in good agreement with the test data from the impact test of elastomer buffer,and the particle swarm optimization(PSO)algorithm based on the adaptive weight has a high accuracy in the identification of the key parameters in the buffer model.The recoiling-buffer effect of the buffer is better than that of the ring spring buffer device used in this type of artillery.The paper provides a new idea for recoiling drag reduction and efficient buffering of artillery weapons.
分 类 号:TJ303[兵器科学与技术—火炮、自动武器与弹药工程]
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