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100年
姓名 陳松佑 Chen, Sung-Yu
題目

成形車刀狀態偵測系統之開發與研究

Development of Tool Condition Detection and Monitoring System for Forming Tools

摘要

目前在自動化的機械加工系統中,刀具狀態偵測系統扮演著極為重要的角色,當刀具於加工過程中發生磨耗或崩損時,即時的更換刀具,可有效的減少不良品的產生與提高產品品質與良率
本研究之目的在於開發成形刀刀具狀態偵測系統,針對成形刀之徑向切削力進行測量,以探討切削力之變化對應出刀具發生崩損之位置,進而找出相對應之閥值以建立刀具偵測系統.根據實驗結果可得知,同一把車刀之切削力訊號之重複性極高,但人為裝設刀具造成切削力會有些微的誤差.另外,成形刀具在經過多次的車削加工後,因為刀具的磨耗而造成切削力的增加.最後,根據實驗結果顯示當刀具崩損位置切入工件後其切削力明顯劇增,故切削力本身即可作為辨識刀具損壞之指標,目前可有效的辨別三個刀具崩損之位置,配合切削力之特徵趨勢與訊號自我比對系統,以達到辨識刀具微崩發生位置之目的,目前可偵測之缺口大小約為0.2mm.此系統可有效的達到刀具微崩發生位置之辨識.

關鍵字:刀具狀態偵測、微崩偵測

 

It is well known that tool condition monitoring system plays an important role in automatic machining system. By detecting, and thus changing the worn tool in time, the loss due to defect products can be greatly reduced and hence ensuring product quality and reliability.
The purpose of this research is to develop a forming tool condition detection and monitoring system for the tool breakage during cutting process. The method is to set up the threshold of cutting force signal for each feature of tool chipping by measuring the radial cutting force. The experimental results showed that cutting forces signal of the tool during the continuous cutting process has high repeatability. However, after resetting the same tool, the cutting force signal has a little deviation comparing with the last cutting force signal for man-made errors. Besides, after the tool has manufactured many workpieces, the cutting force signal will increase for tool wear is growing. Finally, the experiment result shows that the cutting force signal increases sharply right after the tool chipping zone was engaged into the workpieces. A rapid change in cutting forces can itself be a good indicator to detect the tool failure. According to the force features received, the tool chipping detection and monitoring system, that has the capacity to recognize the chipping position of cutting tool. Now, this system can detect the dimension of the chipping zone is about 0.2mm. Experimental verification was conducted with a high degree of success.


Key words: tool condition monitoring, tool chipping detecting.