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自动化加工中刀具破损实时监控方法的研究

On-Line Monitoring Approach of Cutting Tool Fracture in Automatic Machining

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【作者】 王信义徐春广肖定国尚建中

【Author】 Wang Xinyi;Xu Chunguang;Xiao Dingguo;shang Jianzhong (Department of Mechanical Engineering,Beijing Institute of Technology,beijing 100081)

【机构】 北京理工大学机械工程系

【摘要】 详细叙述了在自动化加工中用霍尔电流传感器和流体传递信号的新型声发射(AE)传感器,联合监测主轴电机电流和加工中的AE信号,综合判断刀具破损的原理、监控方案和实验结果.该系统可自动识别直径为0.6mm以上的钻头破损,面积大于0.2mm2的镗刀、铣刀破损,准确率达98%以上.

【Abstract】 A technique of detecting cutting fracture by simultaneous monitoring both the spindle motor motor and acoustic emission (AE) during the cutting process is reported.A holler current sensor and a new type of AE sensor which transmits the AE signal through the lubricant are used to catch the required signals. The comprehensive estimation principle of cutting tool fracture, monitoring plan, and experimental results are introduced. The drills breakage with diameter over 0.6mm and turning and milling cutters’crack with area over 0.2mm2 can be detected automatically by the system The rate of success in detection approaches 98% or higher.

【基金】 国防科技预研基金
  • 【文献出处】 北京理工大学学报 ,JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY , 编辑部邮箱 ,1995年03期
  • 【分类号】TH165.2
  • 【被引频次】18
  • 【下载频次】189
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