研究生: |
戴昕楷 Xin-Kai Dai |
---|---|
論文名稱: |
預測CNC平面銑削之加工時間 Estimation of Machining Time for CNC Planar Milling |
指導教授: |
李維楨
Wei-chen Lee |
口試委員: |
李維楨
Wei-chen Lee 石伊蓓 Yi-Pei Shih 魏振隆 Chen-Lung Wei |
學位類別: |
碩士 Master |
系所名稱: |
工程學院 - 機械工程系 Department of Mechanical Engineering |
論文出版年: | 2022 |
畢業學年度: | 110 |
語文別: | 中文 |
論文頁數: | 84 |
中文關鍵詞: | 銑削 、加工時間 、預測 、迴歸分析 |
外文關鍵詞: | Milling, Machining time, Prediction, Regression analysis |
相關次數: | 點閱:194 下載:0 |
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為了面對少量與多樣化的生產線,如果能準確地預測CNC加工機的切削時間,能在有限的資源與生產能力下將生產線的時間排程更緊密、提升機台的稼動率與更準確的評估生產成本。
本研究利用馬達控制方法中的加減速規則與實際機台優化路徑方式預測CNC機台加工時間,利用myRIO上的加速規找到機台加加速度參數代入由運動學推導的加工時間計算式,用迴歸分析建立優化路徑加工時間與進給跟路徑夾角的關係式,建立模型預測CNC平面銑削之加工時間。實驗設備為東台精機的立式五軸CNC銑削加工機,以X軸向與XY平面的簡單幾何路徑實驗歸納出預測加工時間模型。使用本研究的模型預測在不同的平面上兩種路徑規劃方式進行平面銑削的切削路徑的加工時間,其平均誤差為9%。
To meet the challenge of small volume production, we need to accurately predict the CNC machining time so that we can have a tighter schedule, a higher machine utiliza-tion rate, and a more realistic estimate of the machining cost. The objective of this re-search was to build a model to predict the planar machining time accurately. First, we used the accelerometer to measure the jerk of a CNC machine in the machine shop. Then, we applied the jerk to the machining time equations for the long path we derived. We also used regression analysis to generate the machining time equation for the short path at the corner of two paths. These two equations were adopted as the CNC ma-chining time prediction model. The average error of using the model was 9%.
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