计算机集成制造系统 ›› 2018, Vol. 24 ›› Issue (第8): 1910-1919.DOI: 10.13196/j.cims.2018.08.003

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基于切削功率的数控车削批量加工刀具磨损在线监测

李聪波,万腾,陈行政,雷焱绯   

  1. 重庆大学机械传动国家重点实验室
  • 出版日期:2018-08-31 发布日期:2018-08-31
  • 基金资助:
    国家自然科学基金资助项目(51475059)。

On-line monitoring method of tool wear for NC turning in batch processing based on cutting power

  • Online:2018-08-31 Published:2018-08-31
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.51475059).

摘要: 为了实现数控车削批量加工刀具磨损状态的在线监测,在分析切削功率与刀具磨损量关系的基础上,考虑加工参数对切削功率的影响,基于正交实验设计与响应面法,建立了切削功率与刀具磨损量及加工参数之间的回归模型。提出一种实时更新切削功率阈值的刀具磨损状态在线监测方法。该方法首先对功率信号进行滤波处理,结合数控系统判断机床的运行状态,然后实时计算切削功率阈值并与实际加工过程切削功率进行比较来监测刀具的磨损状况。通过实验案例自动在线监测数控车削过程中刀具磨损的情况,验证了该方法的有效性。

关键词: 切削功率, 刀具磨损, 在线监测, 数控车削, 批量加工

Abstract: To monitor the real-time tool wear for batch processing on NC turning machine tool,the relationship between cutting power and tool wear was analyzed,and the influence of cutting parameters on cutting power was considered on this basis.Then the regression model of cutting power was established based on the orthogonal experiment and the Response Surface Method (RSM).A threshold updating strategy for tool wear on-line monitoring was proposed.After filtering of power signal,the state of NC turning machine tool was identified by using inform action from the NC system,and the tool wear could be obtained by calculating the real-time threshold and comparing with the cutting power in the turning process.The experiment was conducted to evaluate the effectiveness of the proposed method.

Key words: cutting power, tool wear, on-line monitoring, NC turning, batch processing

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