何周杰, 胡秋, 马小龙. 基于谐波频率点能量占比指标的铣刀磨损监测[J]. 制造技术与机床, 2022, (5): 117-122. DOI: 10.19287/j.mtmt.1005-2402.2022.05.020
引用本文: 何周杰, 胡秋, 马小龙. 基于谐波频率点能量占比指标的铣刀磨损监测[J]. 制造技术与机床, 2022, (5): 117-122. DOI: 10.19287/j.mtmt.1005-2402.2022.05.020
HE Zhoujie, HU Qiu, MA Xiaolong. Milling cutter wear monitoring based on the energy ratio of the harmonic frequency[J]. Manufacturing Technology & Machine Tool, 2022, (5): 117-122. DOI: 10.19287/j.mtmt.1005-2402.2022.05.020
Citation: HE Zhoujie, HU Qiu, MA Xiaolong. Milling cutter wear monitoring based on the energy ratio of the harmonic frequency[J]. Manufacturing Technology & Machine Tool, 2022, (5): 117-122. DOI: 10.19287/j.mtmt.1005-2402.2022.05.020

基于谐波频率点能量占比指标的铣刀磨损监测

Milling cutter wear monitoring based on the energy ratio of the harmonic frequency

  • 摘要: 为满足铣刀磨损状态监测需求,文章基于振动信号和二阶同步提取变换理论提出了谐波频率点能量占比指标和主谐波频率点能量占比指标。同时,文章利用3把磨损状态不同的T45铣刀开展了相应的铣削试验。试验结果表明:所提指标能有效地评估铣刀磨损的严重程度,可应用于铣刀磨损的状态监测中。

     

    Abstract: Based on the vibration signal and the theory of the second-order time synchroextracting transform, the energy ratio of the harmonic frequency and the energy ratio of the main harmonic frequency are proposed to meet the needs of condition monitoring of milling cutter abrasion. Three T45 milling cutters with different wear states were used for corresponding milling experiments. The results show that the proposed indicators can effectively evaluate the severity of milling cutter wear and can be used to monitor the wear status of milling cutters.

     

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