Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/2041
標題: 刀具監控在車床上的應用
Tool Wear Monitoring on Turing Operation
作者: 李誌慶
關鍵字: 刀具監控;車床
出版社: 機械工程研究所
摘要: 
製造自動化過程的連續性與高度的應變能力是彈性製造系統中的
要求。自動化製造過程中設備規劃是否得當,品管檢驗與量測系統是
否達到要求,電腦是否已發揮製程規劃、數據收集處理與決策分析的
功能,這些因系都會影響系統運作。針對刀具而言,刀具磨耗及刀具
斷裂將使工件產生尺寸誤差。刀具磨耗是複雜的自然現象,有切削即
有磨耗產生,深入探討,牽涉其中的因素有加工中工件的表面速率、
進給率、切削深度、工件材料、車刀材質、切削液種類等種種原因。
刀具的使用,在工廠中經驗豐富的師傅往往以“直覺”或累積加工時
間決定換刀時刻!而此換刀時間是否適當與刀具是否應更換,人為主
觀因素居多,將使得生產成本難以掌控,導致成本提高。所以將刀具
監控系統的功能“植入”工具機中,控制刀具使用於最佳狀態並使得
已磨耗刀具於最佳換刀時間予以更替,降低因人為因素造成的成本損
失,將是製造自動化中無可避免的趨勢。
本論文針對加工中刀具監控問題提出一個結合實驗與理論基礎的方
法,即以實驗方法建立加工過程中刀具磨耗與刀具壽命的數學模式,即
以實驗方法建立加工過程中刀具磨耗與刀具壽命的數學模式,並以此為
限制條件,透過電腦運算下達進給率調整命令,使得命令得以為控制器
面板上進給率微調所接受,進行最大加工材料移除率,使加工過程中刀
具得維持最佳狀況並符合適當壽命之要求。由於切削過程中,金屬粗切
削耗費較多的刀具成本與加工時間,所以本論文主要以此作探討。

The basic requirements of Flexible Manufacturing System (FMS) are the continuance of automated manufacturing processes. In automated manufacturing processes, there are many factors, such as equipment layout, quality control and measurement, information collection and on-line monitoring, and the computer control management, that influence the quality of entire systems. In FMS, there are many cutting tools that used in machining for different parts. Since tool wear is a complicate phenomenon, the change of cutting conditions, such as surface cutting speed, feedrate, depth of cut, and tool material, will make different tool status. Therefore, it is not reasonable with time accumulation to predict tool wear would increase the production cost.
Tool wear may be described by different equations that are also derived by off-line measurement. With tool wear generate, cutting force become increase. Model-based indirect tool wear measuring techniques are most suitable for on-line tool wear assessment. A comprehensive physical model that relates the flank wear to the change of the cutting force is proposed. This model takes the tool geometry of a practical turning operation into consideration. the model was tested and the experimental results support the proposed theory. In this paper, we analyze the cutting force signal and derived system model with real cutting condition then bring up two methods that can monitor tool wear status and predetermine the time to change the cutting tool.
URI: http://hdl.handle.net/11455/2041
Appears in Collections:機械工程學系所

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