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高速精密机床主轴轴承动态性能演化行为分析

常振1,2,周振宇1**,李兴林3,4,陆水根3,4,李雄2,李斌3,4,朴钟宇1*   

  1. 1.浙江工业大学 机械工程学院;2.钱潮轴承有限公司;3.杭州轴承试验研究中心有限公司;4.机械工业轴承产品质量检测中心(杭州)
  • 收稿日期:2024-12-20 修回日期:2025-03-14
  • 基金资助:
    国家重点研发计划项目(2024YFB4607100);国家自然科学基金项目(52305222、U23A20622、52175194);浙江省“尖兵”“领雁”研发攻关计划项目(2023C01248、2023C01249、2024C01038)

Analysis of Dynamic Performance Evolution Behavior for Spindle Bearings in High-speed Precision Machine Tools

CHANG Zhen1,2, ZHOU Zhenyu1**, LI Xinglin3,4, LU Shuigen3,4, LI Xiong2, LI Bin3,4, PIAO Zhongyu1*   

  1. 1. College of Mechanical Engineering, Zhejiang University of Technology; 2. Qianchao Bearing Co., Ltd.; 3. Hangzhou Bearing Test & Research Center Co., Ltd.; 4. Machinery Industry Bearing Quality Inspection Center (Hangzhou)
  • Received:2024-12-20 Revised:2025-03-14

摘要: 精密机床主轴轴承的动态性能直接关系到机床的综合运行状态,针对主轴轴承7208B进行加速寿命试验和摩擦力矩检测,分别获得80 h、160 h、240 h、320 h和400 h各时间节点的振动和摩擦力矩动态性能时间序列。将前80 h的振动和摩擦力矩数据作为基准序列,求取其他时间节点动态性能信号与基准序列的初值化灰关联度、均值化灰关联度、区间值化灰关联度、相对关联度和绝对关联度,以表征该轴承各服役阶段与初始状态的相似度,评判其动态性能的退化程度。再以均值法、逐步均值累加法和隶属函数法将多个灰关联度模型有效融合,综合量化评估高速精密机床主轴轴承动态性能的演化历程。研究结果表明:该轴承动态性能在运行初期阶段会有明显的退化,但在160~320 h之间退化行为相对平缓,在320 h之后演化程度较为剧烈。总体演化行为呈非线性退化趋势,表现为前期显著退化、中期平缓、后期加速的特性,且与同批次试验轴承微观形貌变化保持良好的一致性。

关键词: 主轴轴承, 振动, 摩擦力矩, 灰关联度, 演化

Abstract: The dynamic performance of spindle bearing for precision machine tool is directly related to it’s comprehensive operation state. Accelerated life test and friction torque detection were conducted on the spindle bearing 7208B, and dynamic performance time series of vibration and friction torque were obtained at each time node of 80 hours, 160 hours, 240 hours, 320 hours, and 400 hours. Using the vibration and friction torque data of the first 80 hours as the reference sequence, the initial value grey correlation degree, mean value grey correlation degree, interval value grey correlation degree, relative correlation degree, and absolute correlation degree between the dynamic performance signals of other time nodes and the reference sequence were calculated to characterize the similarity between the bearing at each service stage and the initial state, and evaluate the degree of degradation of its dynamic performance. Then, multiple grey relational degree models were effectively integrated using the mean method, stepwise mean accumulation method, and membership function method to comprehensively quantify the evolution process of the dynamic performance of high-speed precision machine tool spindle bearings. The results indicated that the dynamic performance of the bearing would show significant degradation at the initial stage of operation, but the degradation behavior was relatively gentle between 160 and 320 hours, and after 320 hours when the degree of evolution was more severe. The overall evolution behavior shows a nonlinear degradation trend, showing the characteristics of significant degradation in the early stage, gentle in the middle stage, and accelerated in the late stage, and it is in good agreement with the change of the micro morphology of the same batch of test bearings.

Key words: spindle bearings, vibration, friction torque, grey correlation degree, evolution

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