Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/2322
標題: 微銑削聲射訊號產生模型建立與分析
Development and Analysis of AE Signal Generation Model in Micro-milling
作者: 洪健為
Hung, Chien-Wei
關鍵字: Orthogonal cutting;正交切削;Acoustic emission signal;聲射訊號
出版社: 機械工程學系所
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摘要: 
在微切削加工中,因刀具磨耗而產生之各種訊號變化可藉由感測器加以偵測,其中聲射訊號屬於高頻訊號,分布範圍在數十kHz到數十MHz之間,主要是由於材料內之差排運動而產生,較不易受到切削時之低頻背景雜訊影響。而基於研究高頻聲射訊號產生機制與刀具磨耗間之關係,本研究建立一聲射訊號產生及傳遞模型,探討聲射訊號頻率和振幅的變化與刀具磨耗之關聯。首先使用有限元素軟體模擬正交切削時,剪切面及犁切面的剪應變率分布情形,接著利用歐羅萬定律計算出材料內的差排密度,最後再利用高斯機率密度函數以及波動方程式求得聲射訊號分布及聲射訊號傳遞模型。建立一套經由金屬切削產生差排運動,乃至於形成聲射訊號源,再傳遞至聲射感測器之聲射訊號模型,並利用此聲射訊號產生模型觀察不同刀具磨耗狀態下之訊號變化。研究最後以微銑削工具機進行切削實驗,利用實驗擷取到的聲射訊號與模擬之聲射訊號做比較及探討。而從結果中可以發現到隨著刀具磨耗的增加,模擬與實驗之聲射時域訊號皆有振幅增加的現象;聲射頻域訊號中,能量皆增加,而頻率往高頻移動,最大之峰值頻率皆在250kHz到300kHz之間,因此驗證本研究所建立之微銑削聲射訊號產生模型具有相當之準確性。

In micro-cutting machining, various kinds of signals variated because of the tool wear can be detected with the sensors. Among them, acoustic emission signal is a high frequency signal that distributed in the range from several dozen kHz to several dozen MHz, generated mainly by dislocation of materials and more difficult to be influenced by the low frequency background noise of cutting. On the basis of study the relation between high frequency acoustic emission signal generation mechanism to tool wear, the research set up a model of acoustic emission signal generation and propagation to probe into the relation between the variation of frequency and amplitude of acoustic emission signal to tool wear. Used the finite element software to simulate the shear strain rate distribution of shear plane and plough plane in orthogonal cutting first, and then calculated dislocation density in materials by using Orowan's law, finally, set up a model of acoustic emission signal distribution and propagation by using Gaussian probability density function and wave equation. Set up an acoustic emission signal model via metal cutting generated dislocation motion, and even forming acoustic emission signal source, then propagated to acoustic emission sensor. Furthermore, using the acoustic emission signal generation model to observe the signal variation in different tool wear condition. The research finally proceeded a cutting experiment by micro-milling machine tool. Compared and discussion acoustic emission signal of experimental and simulate. And can be found the phenomenon of increasing amplitude of acoustic emission time domain signal with simulate and experimental. In acoustic emission frequency domain signal, both energy increasing and frequency move to high frequency, maximum peak frequency ranged between 250 kHz to 300 kHz. Therefore, it proved the acoustic emission signal generation model in micro-milling set up by the research has considerably accuracy.
URI: http://hdl.handle.net/11455/2322
其他識別: U0005-2008200915303100
Appears in Collections:機械工程學系所

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