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滚动轴承疲劳失效故障的数字孪生虚拟实体建模
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江苏省“六大人才高峰”项目(GD2B-048);南通市基础科学研究项目(JC2021023)


Digital Twin Virtual Entity Modeling for Rolling Bearing Fatigue Failure
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    摘要:

    针对目前基于数据驱动和机制建模的滚动轴承故障诊断方法的不足,提出一种针对疲劳故障的滚动轴承数字孪生虚拟实体模型。基于L-P疲劳失效理论,对滚动轴承全寿命周期的振动响应进行建模。在轴承五自由度非线性滚动振动模型的基础上,考虑滚动体-滚道冲击力的影响,对滚动轴承内、外圈局部缺陷模型进行改进,并提出一种滚动轴承次表面裂纹早期故障模型,从而建立了疲劳失效下的滚动轴承全寿命数字孪生虚拟实体模型。该模型可表征轴承疲劳故障的产生、发展到严重的全过程。对不同类型的轴承疲劳故障虚拟实体数据进行了分析,验证了所建模型的正确性和有效性。

    Abstract:

    In view of the shortcomings of the current rolling bearing fault diagnosis methods based on data-driven and mechanism modeling,a rolling bearing digital twin virtual entity model for fatigue failure was proposed.Based on L-P fatigue failure theory,the vibration response of rolling bearing in the whole life cycle was simulated.In order to establish the virtual solid model,based on the five degree of freedom nonlinear rolling bearing vibration model and considering the influence of rolling body raceway impact force,the local defect models of rolling bearing inner and outer rings were improved,and an early fault model of rolling bearing subsurface crack was proposed,which improved the deficiency of the current research on the vibration response mechanism of rolling bearing early weak fatigue fault.Virtual entity model could be used to characterize the process from the occurrence and development of bearing fault to serious failure.The virtual model data of bearing fatigue failure were analyzed to verify the correctness of the simulation results.

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顾伟,张文远,王恒.滚动轴承疲劳失效故障的数字孪生虚拟实体建模[J].机床与液压,2023,51(3):193-199.
GU Wei, ZHANG Wenyuan, WANG Heng. Digital Twin Virtual Entity Modeling for Rolling Bearing Fatigue Failure[J]. Machine Tool & Hydraulics,2023,51(3):193-199

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  • 在线发布日期: 2023-03-02
  • 出版日期: 2023-02-15