通过正交试验对镍基铸造高温合金K24的铣削力进行了研究,将小波分析运用于铣削力的信号处理。运用小波分析对铣削力进行去噪处理,并且对刀具不同磨损状态下的铣削力信号进行了小波分解,能量检测。结果证明,随着刀具磨损量的增加,各尺度频段的信号振动加剧,而且能量也对应地增加。
In this paper,orthogonal experimental nickel-base cast superalloy K24 conducted a study of cutting force,cutting force applied to the wavelet analysis of signal processing.Using the wavelet analysis of cutting force for denoising and for different tool wear state of cutting force signal wavelet decomposition,energy detection.Results show that,with the tool wear increases,the scale increased vibration frequency of the signal,but also the corresponding increase in energy.
参考文献
| [1] | 王新永,于启勋,庞思勤.高温合金切削中刀具的合理选用[J].航空制造技术,2008(23):52-55. |
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