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。
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.
作者
任永胜
赵艳勤
黄坚
陈珑茏
姚战军
Ren Yongsheng Zhao Yanqin Huang Jian Chen Longlong Yao Zhanjun(Beijing Military Representation Bureau of Army, Beijing 100012, China National Defense Mobilization Department, Beo'ing 100015, China Military Representation Office in No. 447 Factory, Baotou 014033, China Department of Equipment Command, Equipment Academy, Beijing 101416, China)
出处
《兵工自动化》
2017年第2期86-91,96,共7页
Ordnance Industry Automation
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
comprehensive transmission mechanism
virtual prototype
dynamic simulation
fatigue reliability life
prediction