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自行火炮综合传动装置非线性动力学仿真与疲劳可靠性寿命预测
引用本文:任永胜,赵艳勤,黄 坚,陈珑茏,姚战军.自行火炮综合传动装置非线性动力学仿真与疲劳可靠性寿命预测[J].兵工自动化,2017,36(2):86-91.
作者姓名:任永胜  赵艳勤  黄 坚  陈珑茏  姚战军
作者单位:陆军北京军事代表局,北京,100012;军委国防动员部,北京,100015;驻447厂军事代表室,内蒙古包头,014033;装备学院装备指挥系,北京,101416
摘    要:为准确地获取综合传动装置关重件的载荷谱,对自行火炮的综合传动装置非线性动力学仿真与疲劳可靠性寿命进行预测研究.建立非线性多级齿轮传动系统的虚拟样机,对其工作过程进行仿真,将同工况条件下综合传动装置虚拟样机仿真结果与综合传动实验台实验结果进行对比,验证基于虚拟样机获取载荷谱的可信性,对载荷谱进行插值运算得到齿轮危险点的应力-时间历程,采用三峰谷雨流计数法生成2维分布的随机疲劳应力谱,充分考虑材料的疲劳性能,预测关重件在多存活率下的疲劳可靠性寿命.研究结果表明:该方法能准确地描述齿轮-转轴-轴承非线性系统的动力学特性,预测关重件在多存活率下的疲劳寿命,为实现预防性维修和精确化保障提供决策依据.

关 键 词:综合传动装置  虚拟样机  动力学仿真  疲劳可靠性寿命  预测
收稿时间:2017/2/16 0:00:00
修稿时间:2016/6/20 0:00:00

Nonlinear Dynamic Simulation and Fault Life Prediction forComprehensive Transmission Mechanism of Self-Propelled Gun
REN Yongsheng and YAO Zhanjun.Nonlinear Dynamic Simulation and Fault Life Prediction forComprehensive Transmission Mechanism of Self-Propelled Gun[J].Ordnance Industry Automation,2017,36(2):86-91.
Authors:REN Yongsheng and YAO Zhanjun
Affiliation:Department of Equipment Command,Equipment Academy
Abstract:For precisely acquire load spectrum of comprehensive transmission mechanism, carry out predication for comprehensive transmission mechanism nonlinear dynamic simulation and fatigue reliability life of self-propelled gun. Establish virtual prototype of nonlinear multi-stage gear transmission system, simulate its work process, and compare compressive transmission mechanism virtual prototype simulation results with compressive transmission test platform test results under the same work conditions. Verify reliability of load spectrum based on virtual prototype. Carry out interpolation calculation for load spectrum to acquire stress-time course of gear danger point, use triple humped rain-flow counting method to generate 2 dimensional distribution random fatigue stress spectrum. Considering the material's fatigue performance, the fatigue reliability life of key component under multi surviving rate can be predicted. The results show that the method can accurately describe the dynamic characteristics of gear - shaft - bearing nonlinear system, prediction of key components in the survival rate of the fatigue life, for provide the basis for decision-making of preventive maintenance and the accurate guarantee.
Keywords:comprehensive transmission mechanism  virtual prototype  dynamic simulation  fatigue reliability life  prediction
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