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    Please use this identifier to cite or link to this item: http://ccur.lib.ccu.edu.tw/handle/A095B0000Q/136

    Title: 間接式切削力與刀具壽命估測技術之研發;Technique Developments of Estimations of Cutting Forces and Tool Remaining Useful Life
    Authors: 江衍涵;Yen, Han,-Chiang
    Contributors: 機械工程系研究所
    Keywords: 剩餘壽命;主成份回歸;自組織映射圖;切削力估測;刀具磨耗;Remaining useful life;Principal components regression;Self-organizing maps;Cutting force;Tool wear
    Date: 2018
    Issue Date: 2019-05-23 12:52:40 (UTC+8)
    Publisher: 機械工程系研究所
    Abstract: 本論文以振動訊號量測分析發展兩項工具機關鍵技術;第一項是間接式切削力估測技術;第二項是間接式刀具剩餘壽命估測技術。第一項切削力估測技術,首先使用實驗模態分析法(Experimental modal analysis, EMA)獲得刀尖點-主軸之轉移函數,並於銑削過程中以黏貼至主軸上端加速規訊號與刀尖點-主軸之轉移函數進行切削力估測。實驗結果顯示,以本研究所提間接式估測技術與直接式動力計量測之切削力在低轉速下一致,然而隨著主軸轉速提升誤差增大,例如6000 rpm以上。第二項刀具剩餘壽命估測技術,提出以提取振動訊號特徵間接檢測刀具磨耗。使用逆轉主成分分析(Reverse Principal Components, RPCA)方法,從各式振動量、切削力特徵中,篩選對於刀具磨耗診斷有效性與貢獻度大之特徵,接著以自組織映射圖估測刀具磨耗與刀具剩餘壽命。實驗結果顯示本研究所提出之技術相較於直接以照片量測相比,誤差值小於10%以下相當精確。
    Two techniques regarding of machining based on the vibration signal are proposed. The first one is an indirect cutting force estimation and the second is an estimation of cutting tool remaining life .For cutting force estimation, a frequency transfer function between the force acting on the cutting tool tip and the acceleration on the spindle is determined firstly using experimental modal analysis (EMA). With this transfer function, the cutting force is then obtained during the machining by measuring the spindle acceleration. Experimental results show that the cutting force determined using the proposed indirection measurement agrees well with those measured using the dynamometer at low spindle speeds; however, the discrepancy increases at high spindle speed, e.g. above 6000 RPM.For the tool remaining life estimation, an indirect detection of tool wear using features extracted from vibration signal is proposed. The effectiveness and the contribution in tool wear estimation from various features extracted from the vibration and cutting force are compared using the method of Reverse Principal Components (RPCA). Then the self-organizing maps (SOM) is adopted for estimating the tool wear, and furthermore the tool useful remaining life (RUL). Experimental results show that the discrepancy in the tool wear estimation using the proposed method is less than 10% as compared with that measured directly by photos.
    Appears in Collections:[機械工程學系] 學位論文

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