| 研究生: |
賴柏辰 Lai, Po-Chen |
|---|---|
| 論文名稱: |
平面度限制下最大銑削材料移除率之研究 A Study on Maximum Material Removal Rate under the Constraint of Flatness in Milling |
| 指導教授: |
王俊志
Wang, J-J Junz |
| 學位類別: |
碩士 Master |
| 系所名稱: |
工學院 - 機械工程學系 Department of Mechanical Engineering |
| 論文出版年: | 2013 |
| 畢業學年度: | 101 |
| 語文別: | 中文 |
| 論文頁數: | 95 |
| 中文關鍵詞: | 銑削加工 、平面度 、最大材料移除率 、製程變異 、響應曲面法 |
| 外文關鍵詞: | milling process, flatness, material removal rate, process variation, response surface methodology |
| 相關次數: | 點閱:93 下載:4 |
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銑削具有加工高精度複雜形狀工件之能力,廣泛應用於精密製造領域。但其會在工件表面產生殘留應力,導致變形影響工件品質如板件之平面度,因而限制了其使用範圍與機台能力。本論文經由實驗設計及平面度分析,探討如何在符合板件平面度要求下獲得最大材料移除率之銑削加工參數。首先求取在夾具及主軸功率扭矩及轉速限制條件下可實行之銑削加工參數範圍,接著進行響應曲面法之實驗設計,將直交表融入Box-Behnken方法,以較有效率之實驗數量分析銑削參數(轉速、軸向切深與每刃進給)對平面度之影響,並建立平面度之模型。實驗發現製程變異對平面度預測準確性影響甚大,故本文將製程變異納入模型中,以利實際生產製造中求得最大材料移除率之加工參數。實驗分析結果發現高轉速、低每刃進給以及低軸向切深可得較好的板件平面度,而其中以軸向切深影響平面度最劇烈。最後以所建立之具製程變異的平面度模型,成功獲得符合平面度要求之最大材料移除率的銑削參數。
Milling can achieve complex geometry and high surface quality part. Therefore, milling is widely utilized in precision manufacturing industry. However, milling induces residual stress and deformation, resulting in poor quality parts, such as the flatness of plate. In this article, systematic method of experiment design is used to analyze the influence of flatness on plate and to establish a model of flatness in milling. The model is used to find maximum material removal rate under the constraint of flatness. First, we utilize the cutting coefficients and convolution milling force model to find the milling parameters under the limit of vacuum chuck and spindle. Then, we use response surface methodology and combination of orthogonal array (L9) and Box-Behnken design in order to analyze milling parameter of flatness and obtain an accurate model of flatness with efficient number of experiments. Also, the flatness model considers process variation due to the fact that it is more efficient for industry. The result of experiment showed that high speed, low feed per tooth and low depth of cut constitute the key parameters for better flatness. Finally, we use the derived flatness model incorporating process variation effect to find the optimal process parameters to achieve the maximum material removal rate under the constraint of flatness.
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