摘要
基于L-P轴承寿命理论,对当前滚动轴承主要的寿命预测模型进行了定性分析。通过经验公式整理、试验数据总结和图形数据处理等方法,重点研究失效概率系数、材料系数、润滑系数、负荷系数、温度系数和清洁系数对轴承疲劳寿命的影响,并建立了多重因素作用下轴承寿命预估模型。基于此模型,利用Matlab和VB的混合编程,开发了轴承疲劳寿命图谱软件,实现了轴承寿命与影响因素的四维可视化显示,并分析各修正系数对滚动轴承寿命的影响规律,确保轴承处于最佳工作状态。
Based on the theory of L-P bearing life,the main life prediction models today are by nature qualitative analysis.Through the experience formula sorting,test data summarizing,graphic data processing and other methods,this study is focused on failure probability coefficient,material coefficient,friction coefficient,load coefficient,temperature coefficient and cleanliness coefficient on bearing fatigue life,and has established a model to predict the bearing life under the effect of multiple factors.Based on this model,using the mixed programming of Matlab and VB,a software for bearing fatigue life is developed,by which the bearing life and influence factors of four-dimensional visualization display are completed,so as to analyze each modified coefficient the influence of the law of rolling bearings life to ensure the bearing to be in the best working condition.
出处
《机械与电子》
2015年第11期12-16,共5页
Machinery & Electronics
基金
国家安全监督总局2012年安全生产重大事故预防关键技术科技项目
杨凌职业技术学院院级科研项目(A2013039)
关键词
滚动轴承
多重因素
疲劳寿命
计算
编程
可视化
rolling bearing
multiple factors
fatigue life
calculation
programming
visualization
