中国机械工程 ›› 2016, Vol. 27 ›› Issue (02): 209-214.

• 智能制造 • 上一篇    下一篇

基于时间常数外圆切入磨削砂轮钝化的监测方法

迟玉伦;李郝林   

  1. 上海理工大学,上海,200093
  • 出版日期:2016-01-25 发布日期:2016-12-15
  • 基金资助:
    国家科技重大专项(2013ZX04008-011)

Monitoring  Method  of   Cylindrical Plunge Grinding Wheel Wear  Based on Time Constant

Chi Yulun;Li Haolin   

  1. University of Shanghai for Science and Technology,Shanghai,200093
  • Online:2016-01-25 Published:2016-12-15
  • Supported by:

摘要:

基于外圆切入磨削力模型研究,提出了一种在线监测功率信号的时间常数算法,并利用时间常数对外圆切入磨削砂轮钝化状态进行识别。为提高计算准确性,选取了进给阶段稳定功率信号和驻留阶段功率信号变化率对时间常数进行计算。通过不同磨削工艺参数和不同修整工艺参数实验,验证了利用功率信号的时间常数方法对砂轮钝化监测的有效性。

关键词: 砂轮钝化, 功率信号, 时间常数, 实验

Abstract:

Based on cylindrical plunge grinding force model,a new algorithm of time constant was proposed by using power signals,and the time constant was used to identify grinding wheel wear status. In order to improve calculation accuracy,grinding power signals in  the infeed stage and dwell stage  were selected to calculate the time constant.At last,through experiments of  different grinding process parameters and different dressing parameters,the validity of monitoring method was proved.

Key words: grinding wheel wear, power signal;time constant, experiment

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