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首页> 外文会议>33rd ASPE annual meeting 2018 >MODULATED TOOL PATH TURNING STABILITY ANALYSIS
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MODULATED TOOL PATH TURNING STABILITY ANALYSIS

机译：调制的刀具路径转向稳定性分析

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摘要

This paper described a new stability metric for modulated tool path (MTP) turning, where discontinuous chips are obtained by superimposing a sinusoidal oscillation on the feed direction motion. The new metric was based on periodic sampling of the MTP process signals (such as force, acceleration, velocity, displacement, or sound). The sampling frequency was selected to match the forcing frequency, which was determined from the product of the spindle speed and the number of oscillations per revolution for the MTP motion. Potential advantages of the new approach are: 1) a generic threshold for instability (in the absence of noise) is defined; and 2) a smaller number of samples may be required to evaluate the process stability relative to the frequency spectrum analysis since a higher number of samples is not required to increase frequency resolution. Tube turning experiments were completed and the periodic sampling-based stability metric results were compared to the traditional frequency-domain approach, where content near a system natural frequency indicates unstable cutting conditions (self-excited vibration). Both approaches identified unstable cutting conditions at the same chip width using force, acceleration, and velocity signals collected during cutting trials.
机译：本文介绍了一种新的用于调制刀具路径（MTP）车削的稳定性度量，其中通过在进给方向运动上叠加正弦振动来获得不连续切屑。新指标基于MTP过程信号（例如力，加速度，速度，位移或声音）的定期采样。选择采样频率以匹配强制频率，该强制频率由主轴速度和MTP运动的每转振荡数的乘积确定。新方法的潜在优势是：1）定义了一个不稳定的通用阈值（在没有噪声的情况下）； 2）相对于频谱分析，可能需要较少数量的样本来评估过程稳定性，因为不需要更多数量的样本来提高频率分辨率。进行了弯管车削实验，并将基于周期采样的稳定性度量结果与传统的频域方法进行了比较，在传统的频域方法中，系统自然频率附近的含量表示切削条件不稳定（自激振动）。两种方法都使用在切削试验期间收集到的力，加速度和速度信号，在相同的切屑宽度下确定了不稳定的切削条件。

著录项

  • 来源
    《33rd ASPE annual meeting 2018》|2018年|263-268|共6页
  • 会议地点 Las Vegas(US)
  • 作者

    Ryan W. Copenhaver; Tony L. Schmitz;

  • 作者单位

    Department of Mechanical Engineering and Engineering Science University of North Carolina at Charlotte, Charlotte, NC;

    Department of Mechanical Engineering and Engineering Science University of North Carolina at Charlotte, Charlotte, NC;

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  • 原文格式 PDF
  • 正文语种 eng
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