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首页> 外文会议>Technology evolution: sensors to systems for failure prevention >TOOL WEAR MONITORING IN DRILLING BY SPECTRAL ANALYSIS OF VIBRATION SIGNALS AND VERIFICATION THROUGH FINITE ELEMENT ANALYSIS
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TOOL WEAR MONITORING IN DRILLING BY SPECTRAL ANALYSIS OF VIBRATION SIGNALS AND VERIFICATION THROUGH FINITE ELEMENT ANALYSIS

机译：通过振动信号谱分析和有限元验证验证钻井中的刀具磨损

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摘要

Experimental study conducted on high speed steel twist drill wherein the effect of the interaction between the tool wear and the vibration that occurs during the process is investigated, are reported. The vibration behavior of the workpiece system is characterized by a number of frequencies computed using Finite Element Analysis (FEA), each of which corresponds to a particular mode of workpiece system. The amplitudes of vibration signals in the range of frequencies from 5.5 to 6 kHz are proportional to tool wear and significant changes in linear pattern indicate the worn-out state of tool. So, this approach is effective for monitoring tool wear. The power spectral analysis of vibration signal indicates the changes in individual frequencies and is used for identifying the frequency range of monitoring tool wear. The tool wear causes the vibration in the workpiece which corresponds to 4th mode of workpiece.
机译：报告了在高速钢麻花钻上进行的实验研究，其中研究了刀具磨损与过程中发生的振动之间的相互作用的影响。工件系统的振动行为的特征在于使用有限元分析（FEA）计算的多个频率，每个频率对应于工件系统的特定模式。振动信号的幅度在5.5到6 kHz的频率范围内与工具磨损成正比，线性模式的显着变化表明工具已磨损。因此，这种方法对于监控工具磨损是有效的。振动信号的功率谱分析表明各个频率的变化，并用于识别监视工具磨损的频率范围。刀具磨损会导致工件中的振动，该振动对应于工件的第四种模式。

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