| 研究生: |
林玠成 Lin, Chieh-cheng |
|---|---|
| 論文名稱: |
銑削參數對不同板厚之平面度影響探討 Influence of Cutting Parameters on The Flatness Under Different Thickness in Machining. |
| 指導教授: |
王俊志
Wang, jiunn-jyh |
| 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: | 102 |
| 語文別: | 中文 |
| 論文頁數: | 88 |
| 中文關鍵詞: | 平面度 、板件變形量預測 、銑削變形 、切削參數 |
| 外文關鍵詞: | flatness, the deformation after milling, cutting parameters, the prediction of deformation under different thickness |
| 相關次數: | 點閱:107 下載:3 |
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板型工件銑削加工製程中,材料被銑刀移除後,將會在工件表面產生殘留應力,於工件夾持力鬆開後使工件產生變形,此變形量會隨著加工參數的不同而有所改變,而隨著板厚的減少,殘留應力所產生之變形會越趨明顯,因此其變形量便成為衡量成品品質的重要指標,而針對切削參數對加工後平面度影響的分析便應運而生;另一方面當隨著薄板厚度變薄,材料移除量較大的加工參數會變得不易加工,容易在加工的過程中將材料切破且耗費時間與成本。
因此本文分為兩部分,首先研究切削參數對薄板變形量與表面粗糙度之影響,分析主軸轉速、每刃進給與軸向切深對上述兩衡量成品品質指標的影響,並比較不同切削液供給方式之加工結果與切削參數於系統中影響變形量與表面粗糙度所佔之比重,以作為薄板加工製程切削參數選擇之參考。
本文第二部分建立一薄板不同厚度之變形量預測模式,利用相同的切削參數於不同厚度板件產生相同殘留應力的概念建立模式,移除薄板材料至某一厚度,量測得其變形量,即可預測其餘板厚銑削後之變形量;由驗證實驗證實此預測模式所得之變形量與實驗值之誤差幾乎落在10%之內,可判定此模式為準確,運用於工業或實驗上之分析,可大幅減少加工之成本與時間。
In the milling process, residual stress induced by machining made plate deformed after the clamped force was removed. The amount of deformation affect by the cutting parameters, as it differs along with the change of cutting parameters. When the plate becomes thinner, the deformation of the plate becomes much more distinct. As a result, analyzing how the cutting parameters influenced the deformation would be helpful to modify the parameters in process to get better flatness. On the other hand, when the plate was machining thinner, the plate dilapidated under some cutting parameter with greater material removal rate.
This research included two parts. First, study the influence of cutting parameters- spindle speed, feed per tooth and axial depth- on deformation and surface roughness. Then compare the processing result and how each cutting parameters affect the amount of deformation and surface roughness between different kinds of coolant supply. Therefore, it would be helpful for cutting parameters choosing.
The second part in this study is to establish a prediction model. The model use the concept that amount of residual induced by milling with some cutting parameters remain the some value near the surface of the work piece to derive the prediction model, it could predict the deviation under the different plate thickness.
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