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强冲击载荷下永磁式电涡流阻尼器阻力特性及优化研究 被引量:20

Optimization and Resistance Characteristics of Permanent Magnet Eddy Current Damper under Intensive Impact Load
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摘要 为研究并减弱永磁式圆筒型电涡流阻尼器在强冲击载荷下去磁效应对火炮后坐阻力的影响,根据其工作原理,对永磁体励磁等效处理,得到不同磁体数目下后坐阻力。建立电涡流阻尼器动力学模型,分析了去磁效应的存在,研究了不同磁靴厚度、内筒厚度、外筒厚度对阻力特性的影响。对内筒分段处理,建立强冲击载荷下后坐阻力优化模型。通过最优拉丁方进行试验设计,利用径向基神经网络与带精英策略的非支配排序遗传算法对后坐阻力规律进行多目标优化研究。研究结果表明:优化后后坐阻力曲线平台效应增强,优化方法、对象有效;涡流阻尼力由强变弱、复进机力占主导时的后坐阻力峰值分别降低了12.6%、2.3%,有效减弱了电涡流阻尼器后坐过程去磁效应的影响。 To study and weaken the demagnetization effect of permanent magnet cylindrical eddy current damper on recoil resistance under intensive impact load,the recoil resistance in different number of permanent magnets is determined using permanent magnet equivalent model according to the working principle of the damper. An eddy current damper dynamic model is established to address the demagnetization effect. The influences of magnetic iron,inner and outer cylinder thicknesses on the resistance characteristics are analyzed. A recoil resistance optimization model is established by segmenting the inner cylinder. Optimized Latin hypercube is designed for experiment. Radial basis function neural network and NSGA-II algorithm are used for multi-objective optimization. The results indicate that platform effect of optimized recoil resistance curve is enhanced. The maximal recoil resistances are reduced by 12. 6% and2. 3%,respectively,when demagnetization effect and the recuperator force dominate. The proposed optimization method and objects effectively weaken the demagnetization effect of eddy current damper in the recoil process.
作者 李子轩 杨国来 孙全兆 王丽群 于情波 LI Zi-xuan, YANG Guo-lai, SUN Quan-zhao, WANG Li-qun, YU Qing-bo(School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu, Chin)
出处 《兵工学报》 EI CAS CSCD 北大核心 2018年第4期664-671,共8页 Acta Armamentarii
基金 武器装备预先研究项目(301070603)
关键词 火炮 制退机 电涡流阻尼器 强冲击载荷 去磁效应 阻力特性 优化 gun recoil mechanism eddy current recoil mechanism intensive impact load demagnetization effect resistance characteristic optimization
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