基于Kriging模型的轴承结构参数优化设计方法

冯吉路; 孙志礼; 李皓川; 田越

doi:10.13224/j.cnki.jasp.2017.03.026

基于Kriging模型的轴承结构参数优化设计方法

doi: 10.13224/j.cnki.jasp.2017.03.026

1.
东北大学机械工程与自动化学院,沈阳 110819
2.
山东省科学院海洋仪器仪表研究所,山东青岛 266001

基金项目: 国家科技重大项目(2013ZX04011-011); 中央高校基本科研业务费专项资金(N140306004)

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出版历程
- 收稿日期: 2015-07-09
- 刊出日期: 2017-03-28

Optimization design method of bearing structure parameters based on Kriging model

摘要

摘要: 轴承的生热率与轴承的使用寿命密切相关,为了减小轴承的生热率,以滚动轴承拟静力学分析和滚道控制理论为基础,求得轴承运转过程中的相关参数,进而得到轴承生热率.将轴承最小生热率为目标函数,通过Kriging模型和粒子群优化算法相结合的方式进行了轴承结构参数优化.对NSK 7016A5轴承的研究结果表明：轴承结构参数优化后,轴承整体和轴承内外圈生热率均变小.Kriging模型和粒子群优化算法相结合的轴承结构参数优化方法取得了良好的设计效果,并且提高了轴承的设计效率.
- 角接触球轴承 /
- 生热率 /
- 曲率半径 /
- Kriging模型 /
- 粒子群优化
Abstract: There is a close relationship between heat generation rate and the life of the bearing. To decrease the heat generation rate of the bearing, associated parameters of the working bearing were obtained based on pseudo statics analysis and raceway control theory of the bearing, and then, the heat generation rate of the bearing was further acquired. The Kriging model and particle swarm optimization algorithm were proposed for optimizing structure parameters of the bearing to obtain the minimum heat generation rate of the bearing. Taking the NSK-7016A5 bearings as an example, the results show that the total heat generation rate of the bearing and inner and outer rings can be decreased after optimization of bearing structure parameters. The combination method of Kriging model and particle swarm optimization for optimizing bearing structure parameters could obtain satisfactory design results, and increase bearing design efficiency as well.
- angular contact ball bearing /
- heat generation rate /
- radius of curvature /
- Kriging model /
- particle swarm optimization

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