臺灣博碩士論文加值系統

本研究在工具機的銑軸上同時安裝加速規與麥克風感測器，用來量測銑削過程中的振動訊號。以切削過程中產生振動及聲音訊號來尋找表面粗糙度值(Ra)與頻率之間的關聯性來達成即時量測表面粗糙度值。
將加工產生的振動與聲音訊號進行訊號分析處理，以轉速頻為一單位並固定頻寬來進行訊號等分切割，找出與表面粗糙度值具有關聯性的頻段，將這些頻段上的能量值進行運算。利用統計學相關係數的公式來觀察運算後的能量值與表面粗糙度值之間是否有相同的趨勢，在利用多元線性回歸的方式來找到兩者之間的相關係數，來達到切削過程中可即時從訊號的頻段上得到相近的表面粗糙度值，後續可利用演算法、機器學習、K-折交叉驗證等方式，配合均方根誤差(NRMSD)來計算預測表面粗糙度值與實際值誤差率。

In this study, while the milling tool axis accelerometer and a microphone mounted sensors for measuring the amount of motion signal of the milling process. The vibration and sound signals generated during the cutting process are used to find the correlation between the surface roughness value (Ra) and the frequency to achieve real-time measurement of the surface roughness value.
The vibration and sound signals generated by the processing are processed by signal analysis, and the signal is divided into equal parts with the speed frequency as a unit and the fixed bandwidth is used to find the frequency bands that are related to the surface roughness value, and the energy value on these frequency bands operated. Use the formula of statistical correlation coefficient to observe whether there is the same trend between the calculated energy value and the surface roughness value. Use multiple linear regression to find the correlation coefficient between the two to achieve the cutting process. The similar surface roughness value can be obtained from the frequency band of the signal in real time, and then algorithms, machine learning, K-fold cross-validation, etc. can be used to calculate the error between the predicted surface roughness value and the actual value with the root mean square error (NRMSD) rate.

第一章 緒論 1
1.1前言 1
1.2研究動機與目的 2
1.3本文架構 3
第二章 文獻探討 4
2.1切削顫振理論 5
2.2表面粗糙度理論 8
2.3銑削理論 9
2.3.1主軸轉速、端銑刀直徑、切削速度 11
2.3.2 進給速度 11
2.3.3切削深度 11
2.4感測器元件與模組介紹 12
2.4.1鋁環設計 12
2.4.2加速規感測器設計 12
2.4.3麥克風感測器設計 14
2.4.4訊號分析軟體與擷取設備 14
第三章 研究方法 18
3-1研究對象 19
3-2研究假說 20
3-3刀具規格 22
3-4表面粗糙度測定儀 22
3-5實驗加工參數 23
第四章 研究結果 26
4.1穩定切削圖 26
4.2 切削力分析 26
4.3訊號分析前置處理 40
4.4訊號上判別穩定與非穩定 48
4.5訊號分析與表面粗糙度量測 53
4.5.1第一類方法(all) 53
4.5.2第二類方法(只有主頻) 58
4.5.3 第三類方法(主頻+非穩) 59
4.5.4表面粗糙度量測 60
4.6訊號與表面粗糙度趨勢分析 60
4.7多元線性回歸 80
第五章 未來規劃 88
第六章 結論與建議 92
參考文獻 93

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