随机参数下叶片辊轧机传动系统动力可靠性分析

针对叶片辊轧机传动系统工作可靠性低的问题,综合考虑齿轮副的物理参数、几何参数及轧制力等因素的随机性,建立了叶片辊轧机传动系统非线性动力学模型,运用变步长Runge-Kutta方法求解了系统的动态响应,通过概率疲劳累积损伤理论,建立了叶片辊轧机传动系统的动力可靠度模型,计算得出了各随机参数的变异性对系统及齿轮传动件的动力可靠度的影响。将计算结果与Monte-Carlo方法计算结果进行了对比,验证了本文作者所提方法的可行性,研究结果为叶片辊轧机齿轮传动系统的可靠性优化设计提供了理论依据。

Dynamic Reliability Analysis of Blade Rolling Mill Transmission System under Random Parameters

Aiming at the low reliability of blade rolling mill transmission system,comprehensively considered the randomness of the system physical parameters,the geometric dimensions parameters,and rolling force,nonlinear dynamic model of blade rolling mill transmission system is established.The system dynamic responses were obtained by the variable step-size Runge-Kutta method.The dynamic reliability model of blade rolling mill transmission system was set up by using the theory of probability fatigue damage cumulative.The effect of random variation of parameters on the dynamic reliability of blade rolling mill transmission system and gear parts were calculated and compared with the results of Monte-Carlo method.The feasibility of this method is verified,and the research results provide theoretical basis for reliability optimization design of blade rolling mill gear transmission system.