臺灣博碩士論文加值系統

在自動化工業的時代，健康檢測是一個相當重要的問題，從機器各處安裝各式各樣的感測器量測所需要的訊號，觀察訊號並尋找其規律現象以達到健康診斷之目的。
鋸帶為支撐力較弱之刀具，在背壓過大或是鋸齒不正常磨耗的情況下容易發生鋸帶歪斜之現象，導致鋸帶壽命降低與工件垂直度不良。本文透過有限元素分析軟體ANSYS Workbench對鋸帶進行歪斜之分析，探討在材料直徑、鋸臂跨距與接觸長度等參數下鋸帶的變形曲線，由於鋸帶在鋸切時為沒入工件之狀態無法量測，因此透過模擬對鋸帶進行分析，並在鋸帶機上進行實驗比對兩者之位移曲線，尋找最佳之有限元素模型，接著量測振動找出振動對於鋸帶歪斜之影響。藉由本研究之結果，理論分析與實驗誤差在0.1 mm以下，未來可進一步應用在不同鋸帶寬度、厚度、張力以及不同型式之鋸帶機上，提升歪斜檢知之準確率。

In the generation of automatic industry, machine health diagnosis is a very important issue. It is necessary to install various sensors for measuring the signals required from various parts of the machine, observe the signals and find out the regular phenomena to achieve the purpose of health diagnosis.
The band saw cutting machine is a tool with weak support force. When the back pressure of the band saw is too large or the saw teeth are not worn properly, it will cause the saw skews easily, resulting in decrease the life of the saw and a bad verticality of the work piece. In this paper, the finite element analysis software ANSYS Workbench is used to analyze the skew of the saw, and also discussed the deformation curve of the band saw under different condition material diameters, saw arm distance and contact length. Because of the band saw deformation could not be measured when it is cut inside the work piece, so the band saw is analyzed by FEM simulation, the displacement curve is compared on the saw cutting machine in order to find the best finite element model, find out the influence of vibration on the skew of the band saw by measuring the vibration. From the results of this study, the theoretical analysis and experimental error are below 0.1 mm. In the future, it can be further applied to different band saw widths, thicknesses, tension force and different types of band saw machines to improve the accuracy of out square sawing detection.

摘要..............................................i
Abstract.........................................ii
誌謝............................................iii
目錄.............................................iv
表目錄...........................................vi
圖目錄..........................................vii
符號說明..........................................x
第一章 緒論......................................1
1.1 前言......................................1
1.2 研究動機與目的.............................1
1.3 文獻回顧..................................2
1.3.1 刀具位移分析...............................2
1.3.2 鋸帶振動分析...............................2
1.3.3 曲線回歸分析...............................2
1.4 論文結構..................................3
第二章 基礎理論..................................4
2.1 鋸床介紹..................................4
2.1.1 帶鋸機基礎構造介紹.........................4
2.2 鋸帶介紹..................................5
2.2.1 鋸帶種類..................................5
2.2.2 鋸帶構造..................................6
2.2.3 鋸帶規格..................................6
2.2.4 鋸齒齒型..................................7
2.2.5 鋸齒排列方式..............................8
2.3 迴歸分析..................................9
第三章 研究方法與實驗規劃........................10
3.1 研究流程.................................10
3.2 鋸帶歪斜有限元素模型建立..................11
3.2.1 模型建立規劃.............................11
3.2.2 鋸帶3D模型繪製...........................11
3.2.3 設定材料特性.............................12
3.2.4 設定邊界條件與輸出結果....................12
3.3 鋸帶靜態歪斜實驗..........................13
3.3.1 實驗規劃.................................13
3.3.2 實驗設備.................................13
3.3.2.1 實驗機台.................................13
3.3.2.2 實驗刀具與預設材料........................15
3.3.2.3 量測設備.................................15
3.4 鋸帶動態歪斜實驗..........................16
3.4.1 實驗規劃.................................16
3.4.2 量測儀器.................................16
3.5 動態切削歪斜實驗..........................17
3.5.1 實驗規劃.................................17
第四章 結果與討論...............................18
4.1 有限元素模型分析結果......................18
4.1.1 量測點位置模擬分析結果....................18
4.1.2 鋸帶歪斜模擬分析結果......................21
4.2 鋸帶靜態歪斜實驗結果......................25
4.2.1 鋸帶靜態歪斜量測結果......................25
4.2.2 鋸帶歪斜位移公式與靜態實驗結果比對.........30
4.3 鋸帶動態歪斜實驗結果......................35
4.3.1 鋸帶動態歪斜量測結果......................36
4.3.2 動態歪斜實驗與靜態歪斜實驗比對.............40
4.3.3 動態位移訊號與振動訊號分析.................48
第五章 結論.....................................51
5.1 結論.....................................51
5.2 未來展望.................................51
參考文獻.........................................52
Extended Abstract...............................54

1.J.-J. Junz Wang, Sung-Hua Wu, Rong-Shean Lee, "Chip fractal geometry and loading characteristics of sinusoidal multi-cutters in hack-sawing process", International Journal of Machine Tools and Manufacture, Volume 59, August 2012, Pages 65-80.
2.P. Gendraud, J-C. Roux, J-M. Bergheau, "Vibrations and stresses in band saws: A review of literature for application to the case of aluminium-cutting high-speed band saws", Journal of Materials Processing Technology, Volume 135, 2003,pp.109-116.
3.Ismail Ucun, Fatih Onur Hocaoglu, Sukru Gorgulu, "Determination of Displacements on a Cutting Disc During Sawing Process", Procedia CIRP, Volume 40, 2016, Pages 492-497.
4.B.-K. Min. G. O'neal, Y. Koren, Z. Pasek, "Cutting process diagnostics utilising a smart-cutting tool", Mechanical Systems and Signal Processing, Volume 16, Issues 2–3, March 2002, Pages 475-486.
5.S.Wojciechowski, M.Wiackiewicz, G.M.Krolczyk, "Study on metrological relations between instant tool displacements and surface roughness during precise ball end milling", Measurement, Available online 23 July 2018.
6.Jean Philippe Costes, Vincent Moreau, "Surface roughness prediction in milling based on tool displacements", Journal of Manufacturing Processes, Volume 13, Issue 2, August 2011, Pages 133-140.
7.鍾効諺，"CNC帶鋸床鋸切振動對鋸切效能影響研究",國立虎尾科技大學機械與機電工程研究所碩士論文，2014。
8.張建彬，"高速帶鋸床於H型鋼切削性能研究", 國立虎尾科技大學機械與機電工程研究所碩士論文，2015。
9.C.D. Mote Jr. ,"A study of band saw vibrations", Journal of the Franklin Institute, Volume 279, Issue 6, June 1965, Pages 430-444.
10.TilenThaler, PrimožPotočnik, IvanBric, EdvardGovekar, "Chatter detection in band sawing based on discriminant analysis of sound features", Applied Acoustics, Volume 77, March 2014, Pages 114-121.
11.Reynolds Okai, Stephen J. Mitchual, Kwasi Frimpong-Mensah, "Optimisation techniques for minimising saw teeth deflection and lumber thickness variation", Precision Engineering, Volume 30, Issue 1, January 2006, Pages 39-46.
12.S.Kahraman, M.Fener, O.Gunaydin, "Predicting the sawability of carbonate rocks using multiple curvilinear regression analysis", International Journal of Rock Mechanics and Mining Sciences, Volume 41, Issue 7, October 2004, Pages 1123-1131.
13.Yilmazkaya E. , Dagdelenler G. , Ozcelik Y. , Sonmez H. , "Prediction of mono-wire cutting machine performance parameters using artificial neural network and regression models", Engineering Geology, Volume 239, 18 May 2018, Pages 96-108.
14.高聖精密機電股份有限公司，C-320GNC操作手冊。
15.紅蕃企業股份有限公司(http://www.taiwan-wikus.com.tw/)。
16.惠達科技股份有限公司(http://www.fedtec.com.tw/)。
17.台灣巴魯夫有限公司(https://www.balluff.com/local/tw/home/)。
18.台灣國家儀器股份有限公司產品目錄(http://taiwan.ni.com/)。
19.蔡國忠，"ANSYS Workbench 有限元素分析及工程應用"，知城圖書，2008。
20.李輝煌，"ANSYS 工程分析基礎與概念"，高立圖書，2005。