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http://ir.hust.edu.tw/dspace/handle/310993100/3839
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| 題名: | 精密端銑削加工過程中刀具振動對表面粗糙度之影響分析
Effect of tool vibration on surface roughness in the precision end-milling process |
| 作者: | 陳華倫 |
| 貢獻者: | 精密機械與製造科技研究所 |
| 關鍵詞: | 振動
表面粗糙度
精密銑削
頻譜分析儀
反應曲面法 |
| 日期: | 2012-07
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| 上傳時間: | 2013-11-18T08:41:44Z
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| 摘要: | 端銑削過程的不穩定振動常會導致刀具破損、工件的表面精度變差，甚至影響刀具及工具機的壽命。為瞭解銑削時刀具與工具機之間產生的振動關係,以改善工件表面品質及增進其使用壽命，本研究應用頻譜分析儀(SSA)擷取和轉換切削刀具振動原始信號,以探討刀具振動和表面粗糙度之間的關係。並採用反應曲面法（RSM）中D-optimal 設計法來進行實驗研究。實驗過程中以切削條件之主軸轉速、進給率、切削深度為數值因素，及以切削進給方向和刀柄類型為類別因素。考量在不同切削條件下以頻譜圖量測刀具振動頻率和振幅。本文結果顯示進給率和切削深度增高造成切削過程不穩定和得到較差加工表面，沿切削進給方向其振動振幅一般大於其他切削方向。切削過程中主軸轉速和刀具類型影響刀具的穩定性。本實驗獲得之振幅值和表面粗糙度值經由變異數分析證實可達95％信賴區間。上述結果可預測並避免於精密銑削加工過程因刀具振動產生不穩定切削及不佳的表面，並可掌握銑削加工參數提升加工品質。
A tool vibration can result in increased tool wear, poorer surface finish and reduced tool life time during the precision end-milling process. In order to improve the surface quality of workpiece and tool life, Singular Spectrum Analysis is applied to extract and transform the raw signals of the vibrations on the cutting tool for investigating the relationship between tool vibration and surface roughness. The response surface methodology D-optimal design was employed to carry out experimental study. In this experimental investigation, the spindle speed, feed rate and cutting depth were chosen as the numerical factor. And the cutting feed direction and holder type were regarded as the categorical factor. The vibration frequency and amplitude of cutting tool in various cutting conditions were measured by the power spectrum density. Results show that the increase of feed rate and cutting depth will be no stability and poor surface roughness during the cutting process. The vibration amplitude along the cutting feed direction is generally larger than that along other direction. The spindle speed and tool type affects the cutting stability during the cutting process. The results in ANOVA confirm that the surface roughness and vibration amplitude obtained in this study are fairly well fitted with the experimental values up to 95% confidence interval. The results mentioned above can predict and avoid unstable cutting and poor surface quality due to tool vibration in precision end-milling process. Also, utilizing the milling parameters obtained further to improve the processing quality. |
| 描述: | 指導教授:江可達 |
| 顯示於類別: | [機械工程系(含精密機械與製造科技碩士班)] 學位論文
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