研究生: |
邱奕文 Yi-Wen Qiu |
---|---|
論文名稱: |
銑削顫振之討論與研究 On the Study of Milling Chatter |
指導教授: |
劉孟昆
Meng-Kun Liu |
口試委員: |
郭俊良
Jun-Liang Kuo 鍾俊輝 Jun-Hui Zhong |
學位類別: |
碩士 Master |
系所名稱: |
工程學院 - 機械工程系 Department of Mechanical Engineering |
論文出版年: | 2016 |
畢業學年度: | 104 |
語文別: | 中文 |
論文頁數: | 113 |
中文關鍵詞: | 銑削 、顫振 、時頻分析 |
外文關鍵詞: | Milling, Chatter, Time-Frequency Analysis |
相關次數: | 點閱:272 下載:0 |
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銑削加工為機械加工中常見之重要方法。在銑削加工過程中工件與刀具之間會產生相對的振動,此振動會影響工件切削厚度,並使銑削力產生不穩定振盪,進而造成銑削加工的不穩定。此種在銑削過程中由自身引起的自激振動,稱之為顫振(Chatter)。為了避免顫振現象的發生,一般的銑削加工會參考切削穩定耳垂圖設定加工參數。然而切削穩定耳垂圖的準確性會受到切削常數、刀具模耗及製程阻尼等因素影響,使得最佳的加工參數不易取得,且目前並無一個有效的方法判斷切削穩定耳垂圖是否正確。
由於銑削系統受前次切削行為影響,為一具有漸進式混沌特性(route-to-chaos)之非線性系統,因此一般分析顫振所使用的傅立葉頻譜並無法直接反應此非線性的切削行為。本研究首先透過敲擊測試及材料參數試驗,建構切削穩定耳垂圖,並使用切削力量理論建構出一套可預估切削力之動力學模型,且藉由主軸轉速與切深的變化來探討顫振現象。為了驗證此模型的正確性,將會搭配平板型力量計來擷取實際切削之力量訊號,並以時頻分析法觀察切削力在時間域及頻率域隨加工穩定性及製程的變化。
Milling has played an important role in the machining process. During the milling operation, the tool and the workpiece generate relative oscillations which affect the cutting depth, render unsettled cutting force and make the milling dynamics unstable. This kind of self-generating vibration called “chatter” has an intimate correlation with certain machining parameters such as spindle speed, feed rate, radial and axial depth of cut, and workpiece material. Chatter is often accompanied by the deviation of cutting depth, incomplete surface finish and high-pitch noise. To prevent the onset of machining chatter, people usually resort to the stability lobe diagram to setup machining parameters. However, the accuracy of the stability lobe diagram depends on several factors like cutting coefficients, tool wear, process damping and so on, rendering optimized machining parameters unavailable, and currently there are no efficient solutions to verify the accuracy of the stability lobe diagram.
This study first developed a stability lobe diagram by conducting the impact test, followed by constructing a milling dynamic model to predict the cutting force. Multiple combinations of spindle speed and depth of cut were investigated to discuss milling chatter. In order to validate the dynamic model, a force sensor was mounted to measure the cutting force, and the time-frequency analysis method was used to observe the cutting vibration in time- and frequency-domain. As a result the difference of the cutting force generated by the simulation and the milling experiment was verified.
[1] Schmitz, Tony L and Smith, S. Maching Dynamic. Springer, Germany, 2009.
[2] Tobias, S. A.; Fishwick, W. Theory of regenerative machine tool chatter. The engineer, 1958, 205.7: 199-203.
[3] Tlusty, Jiri; Zaton, Wieslaw; Isnail, Fathi. Stability lobes in milling. CIRP Annals-Manufacturing Technology, 1983, 32.1: 309-313.
[4] Smith, S.; Tlusty, J. Update on high-speed milling dynamics. Journal of Engineering for Industry, 1990, 112.2: 142-149.
[5] Smith, S.; Tlusty, J. An overview of modeling and simulation of the milling process. Journal of engineering for industry, 1991, 113.2: 169-175.
[6] Altintas, Y.; Budak, E. Analytical prediction of stability lobes in milling. CIRP Annals-Manufacturing Technology, 1995, 44.1: 357-362.
[7] Park, S. S.; Rahnama, R. Robust chatter stability in micro-milling operations. CIRP Annals-Manufacturing Technology, 2010, 59.1: 391-394.
[8] Song, Qinghua; Liu, Zhanqiang; Shi, Zhenyu. Chatter stability for micromilling processes with flat end mill. The International Journal of Advanced Manufacturing Technology, 2014, 71.5-8: 1159-1174.
[9] Altintas, Yusuf. Manufacturing automation: metal cutting mechanics, machine tool vibrations, and CNC design. Cambridge university press, 2012.
[10] Jun, Martin B.; Devor, Richard E.; Kapoor, Shiv G. Investigation of the dynamics of microend milling—part II: model validation and interpretation. Journal of manufacturing science and engineering, 2006, 128.4: 901-912.
[11] Liu, Xinyu; Devor, Richard E.; Kapoor, Shiv G. Investigation of the Dynamics of Microend Milling—Part I: Model Development. Urbana, 2006, 51: 61801.
[12] Budak, Erhan; Tunc, Lütfi Taner. Identification and modeling of process damping in turning and milling using a new approach. CIRP Annals-Manufacturing Technology, 2010, 59.1: 403-408.
[13] Tyler, Christopher T.; Schmitz, Tony L. Analytical process damping stability prediction. Journal of Manufacturing Processes, 2013, 15.1: 69-76.
[14] Cai, Zheng-Xu. Study on the Stability Lobe Diagram Integrated with Tool Life. 2015.
[15] Tyler, Christopher T.; Troutman, John; Schmitz, Tony L. Radial depth of cut stability lobe diagrams with process damping effects. Precision Engineering, 2015, 40: 318-324.
[16] 王俊志, 廖俊傑, 銑削穩定裕度圖之解析預測, 口頭論文發表, 中華民國力學學年會暨第39屆全國力學會議, 2015.
[17] Gourc, Etienne; Seguy, Sebastien; Arnaud, Lionel. Chatter milling modeling of active magnetic bearing spindle in high-speed domain. International Journal of Machine Tools and Manufacture, 2011, 51.12: 928-936.
[18] Halfmann, Eric Ben. On the Machining Dynamics of Turning and Micro-milling Processes. 2012. Master Thesis. Texas A&M University.
[19] Cao, Hongrui; Lei, Yaguo; He, Zhengjia. Chatter identification in end milling process using wavelet packets and Hilbert–Huang transform. International Journal of Machine Tools and Manufacture, 2013, 69: 11-19.
[20] Peng, Wei, et al. Chatter identification using HHT for boring process. In: International Conference on Optical Instruments and Technology (OIT2013). International Society for Optics and Photonics, 2013, 6: 904316-904316.
[21] 李尧, 基于小波包及 Hilbert-Huang 变换的数控铣削颤振诊断技术. 计算机集成制造系统, 2015, 21.第 1: 204-216.
[22] Cao, Hongrui; Zhou, Kai; Chen, Xuefeng. Chatter identification in end milling process based on EEMD and nonlinear dimensionless indicators. International Journal of Machine Tools and Manufacture, 2015, 92: 52-59.
[23] Dassanayake, Achala Viomy. Machining dynamics and stability analysis in longitudinal turning involving workpiece whirling. 2006. PhD Thesis. Texas A&M University.
[24] Wang, J.-J. and Zheng, C.M., On-line Identification of Shearing and Plowing Constants in End Milling. ASME, J. of Manufacturing Science and Engineering, 2003, 125.1: 57-64.
[25] Shaik, Jakeer Hussain; Srinivas, J. Influence of Secondary Factors of Spindle Geometry on the Dynamic Stability in End-milling Operation. Journal of Mechanical Design and Vibration, 2014, 2.2: 35-46.
[26] Tlusty, Jiri. Manufacturing processes and equipment. Prentice Hall, 2000.
[27] Fundamental Milling Processes, Education Discussion
http://www.educationdiscussion.com/fundamental-milling-processes/
[28] Tunc, Lütfi Taner; Budak, Erhan. Effect of cutting conditions and tool geometry on process damping in machining. International Journal of Machine Tools and Manufacture, 2012, 57: 10-19.
[29] 馬寧元及李新中, 刀具破損之探討, 機械工業雜誌 291期
[30] 中央大學數據分析中心, http://rcada.ncu.edu.tw/intro.html.
[31] Wolf, Alan, et al. Determining Lyapunov exponents from a time series. Physica D: Nonlinear Phenomena, 1985, 16.3: 285-317.
[32] 张智海, 端铣工艺非线性动力学特性的研究, 机械工程学报, 2004, 40.8: 45-48.