首页> 外文期刊>Technical Gazette >A Simplified Identification Method of Dynamic Stiffness for the Heavy-Load and Low-Speed Journal Bearings
【24h】

A Simplified Identification Method of Dynamic Stiffness for the Heavy-Load and Low-Speed Journal Bearings

机译:重载和低速轴承动态刚度的简化识别方法

获取原文
获取外文期刊封面目录资料

摘要

Journal bearing is an essential part of the propulsion shafting system, whose performance directly affects the safety and performance of the shaft and even the entire ship. It is an important, but also a difficult task to obtain the accurate dynamic stiffness values. In order to determine the dynamic characteristics of the journal bearing with specific structural characteristics under specific working conditions, an inverted test platform with multiple sensors for the dynamic stiffness of the heavy-load, low-speed journal bearings (HLLSJBs) was developed, and a novel dynamic test system calibration method was proposed to obtain accurate baseline data, and then the effective characteristic frequency response was gotten based on a refined fast Fourier transform method (RFFT). The present study proposed a simplified identification method to analyze the constitutive relationships between the oil film dynamic parameters and the dynamic stiffness under different rotation and loading conditions in the journal bearing, and then the accurate values of the oil film dynamic stiffness of HLLSJBs were obtained. Furthermore, the values of the structural dynamic stiffness of HLLSJBs were also obtained using a hammer impact method. A comparison with the classic theoretical analysis results reveals that the method proposed is more accurate and effective.
机译:轴承是推进轴系系统的重要组成部分,其性能直接影响轴的安全性和性能甚至整个船舶。这是一个重要的,但也是获得准确的动态刚度值的艰巨任务。为了在特定工作条件下确定具有特定结构特性的轴颈轴承的动态特性,开发了具有多个传感器的倒立测试平台,用于重载的动态刚度,低速日记轴承(HILLSJBS),以及一个提出了新型动态测试系统校准方法以获得精确的基线数据,然后基于精细的快速傅立叶变换方法(RFFT)得到有效特征频率响应。本研究提出了一种简化的识别方法,分析了在轴颈轴承不同旋转和装载条件下的油膜动力学参数和动态刚度之间的本构关系,然后获得了HILSJBS的油膜动态刚度的精确值。此外,还使用锤击冲击方法获得HLLSJBS的结构动态刚度的值。与经典理论分析结果的比较表明,提出的方法更准确,有效。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号