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A fuzzy logic approach for chatter detection and suppression in end milling.

机译：端铣中颤动检测和抑制的模糊逻辑方法。

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摘要

In metal cutting processes, excessive vibration or chatter has an adverse effect on productivity and product surface quality. Various studies have been reported in the literature over the past few decades. However, the real application of the outcome of these studies has been very limited. A new system has been developed in this study for chatter detection and chatter suppression. The coherence function values of the frequency spectra from two accelerometers in orthogonal directions were used as a chatter indicator. The vibration energy was used to offset the over-vigilance behaviour of the coherence function. A fuzzy logic control approach was used for chatter suppression based on both the coherence function value and vibration energy level. To improve the adaptability of the fuzzy controller, a self-learning algorithm has also been developed for on-line updating the fuzzy rule base. A direct output tuning method was also proposed to improve the responsiveness of the system.; The proposed system has been tested using both steel and aluminium workpieces with and without thin-walls. The experimental results show that the proposed system worked reasonably well for on-line chatter detection and suppression.; The thesis also explored the possibility of using the coherence function for chatter prediction. The verification of its feasibility may be carried out in the future.
机译：在金属切割过程中，过度的振动或颤动会对生产率和产品表面质量产生不利影响。在过去的几十年中，文献报道了各种研究。但是，这些研究结果的实际应用非常有限。在这项研究中开发了一种新的系统，用于颤动检测和颤动抑制。来自两个加速度计在正交方向上的频谱的相干函数值用作颤动指示符。振动能量用于抵消相干函数的过度警惕行为。基于相干函数值和振动能级，将模糊逻辑控制方法用于颤振抑制。为了提高模糊控制器的适应性，还开发了一种用于在线更新模糊规则库的自学习算法。还提出了一种直接输出调整方法，以提高系统的响应能力。所提议的系统已使用带有和不带有薄壁的钢和铝工件进行了测试。实验结果表明，所提出的系统对于在线颤振的检测和抑制具有良好的效果。本文还探讨了使用相干函数进行颤动预测的可能性。其可行性的验证可能会在将来进行。

著录项

  • 作者

    Xu, Diancheng.;

  • 作者单位

    University of Ottawa (Canada).;

  • 授予单位 University of Ottawa (Canada).;
  • 学科 Engineering Mechanical.; Artificial Intelligence.
  • 学位 M.A.Sc.
  • 年度 2003
  • 页码 102 p.
  • 总页数 102
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;人工智能理论;
  • 关键词

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