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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 廖運炫 | zh_TW |
dc.contributor.advisor | Yunn-Shiuan Liao | en |
dc.contributor.author | 范瀚仁 | zh_TW |
dc.contributor.author | Hen-Ren Fan | en |
dc.date.accessioned | 2024-03-08T16:16:54Z | - |
dc.date.available | 2024-03-09 | - |
dc.date.copyright | 2024-03-08 | - |
dc.date.issued | 2024 | - |
dc.date.submitted | 2024-02-17 | - |
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[2] H.Z. Li, H. Zeng, X.Q. Chen, “ An Experimental Study of Tool Wear and Cutting Force Variation in the End Milling of Inconel 718 with Coated Carbide Inserts,” J Mater Process Technol, vol. 180, pp. 296-304, 2006. [3] M. Nouni, B.K. Fussell, B.L. Ziniti, E. Linder, ”Real-time Tool Wear Monitoring in Milling Using a Cutting Condition Independent Method” Int J Mach Tools Manuf, vol. 89, pp. 1-13, 2015. [4] S. Li, KP. Zhu, “In-situ Tool Wear Area Evaluation in Micro Milling with Considering the Influence of Cutting Force,” Mech Syst Signal Process, vol. 161, 107971, 2021. [5] M.K. Babouri, N. Ouelaa, M.C. Djamaa, A.Djebala, N. Hamzaoui, “Prediction of Tool Wear in the Turning Process Using the Spectral Center of Gravity,” J Fail Anal Preven, vol. 17, pp. 905-913, 2017. [6] T. Y. Wu, K. W. Lei, “Prediction of Surface Roughness in Milling Process Using Vibration Signal Analysis and Artificial Neural Network,” Int J Adv Manuf Technol, vol. 102, pp. 305-314, 2019. [7] 林奕言,銑削加工振動訊號前處理於刀具磨耗監控之研究,國立臺灣大學機械工程學研究所碩士論文,2021。 [8] H. Trabelsi, E. Kannatey-Asibu Jr, “Pattern-recognition Analysis of Sound Radiation in Metal Cutting,” Int J Adv Manuf Technol, vol. 6, pp. 220-231, 1991. [9] 王培寧,應用MEMS麥克風陣列於精密車削刀具磨耗監測之研究,國立中興大學機械工程學系所碩士論文,2015。 [10] I. Yesilyurt, H. Ozturk, “Tool Condition Monitoring in Milling Using Vibration Analysis,” Int J Prod Res, vol. 45, pp. 1013-1028, 2007. [11] 廖金喜,最少量潤滑(MQL)切削液應用於高速銑削難切削材之研究,國立臺灣大學工學院機械工程學研究所博士論文,2017。 [12] 石文天,侯岩军,刘玉德,李强强,微切削毛刺形成机理及研究进展综述,北京工商大学材料与机械工程学院,2019。 [13] 駱致融,切屑特徵對刀具壽命影響之研究,國立勤益科技大學機械工程系碩士班碩士論文,2018。 [14] V.P. Astakhov, Metal Cutting Mechanics (1st ed.). CRC, Boca Raton, USA, 1998. [15] S.M. Ebrahimi, A. Araee, M. Hadad, “Investigation of the Effects of Constitutive Law on Numerical Analysis of Turning Processes to Predict the Chip Morphology, Tool Temperature, and Cutting Force,” Int J Adv Manuf Technol, vol. 105, pp. 4245-4264, 2019. [16] 謝維霖,以DSP實現新型諧波/間諧波演算法,義守大學電機工程學系碩士論文,2009。 [17] Z. Sun, Z. He, T. Zang and Y. Liu, "Multi-Interharmonic Spectrum Separation and Measurement under Asynchronous Sampling Condition," IEEE Trans Instrum Meas, vol. 65, pp. 1902-1912, 2016. [18] M.L Bouhalais, M. Nouioua, “The Analysis of Tool Vibration Signals by Spectral Kurtosis and ICEEMDAN Modes Energy for Insert Wear Monitoring in Turning Operation,” Int J Adv Manuf Technol, vol. 115, pp. 2989-3001, 2021. [19] M. Sarıkaya, M.K. Gupta, I. Tomaz, D.Y. Pimenov, M. Kuntoğlu, N. Khanna, C.V. Yıldırım, G.M. Krolczyk, “A State-of-the-Art Review on Tool Wear and Surface Integrity Characteristics in Machining of Superalloys,” CIRP J Manuf Sci Technol, vol. 35, pp. 624-658, 2021. [20] 张凯,权宇,刘长福,晏永飞,周洋,杨博涵,刀具磨损智能监测方法的研究现状和发展趋势,金属加工第9期8~14頁,2022。 [21] M. C. Shaw, Metal Cutting Principles, Oxford University Press, New York, 2005. [22] A. Aramcharoen, P.T. Mativenga, “Size Effect and Tool Geometry in Micromilling of Tool Steel,” Precision Engineering, vol. 33, pp. 402-407, 2009. [23] B. Bergmann, B. Denkena, T. Grove, T. Picker, “Chip Formation of Rounded Cutting Edges,” Int J Precis Eng Manuf, vol. 20, pp. 37-44, 2019. [24] W. Liu, W.A. Yang, Y. You, “Three-Stage Wiener-Process-Based Model for Remaining Useful Life Prediction of a Cutting Tool in High-Speed Milling,” Sensors (Basel), vol.22, pp. 4763, 2022. [25] F. Jiang, J. Li, L. Yan, J. Sun, S. Zhang, “Optimizing End-Milling Parameters for Surface Roughness under Different Cooling/lubrication Conditions,” Int J Adv Manuf Technol, vol. 51, pp. 841-851, 2010. [26] N. Masmiati, A.A.D. Sarhan, M.A.N. Hassan, M. Hamdi, “Optimization of Cutting Conditions for Minimum Residual Stress, Cutting Force and Surface Roughness in End Milling of S50C Medium Carbon Steel,” Measurement, vol. 86, pp. 253-265, 2016. [27] U.S. Lindholm, Techniques of Metals Research, Ed. Bunshah R. F. (John Wiley & Sons, New York), vol. 5, pp. 199, 1971. [28] R.S. Singiresu, Mechanical Vibrations, Prentice Hall, Singapore, pp. 724-726, 2005. | - |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/92202 | - |
dc.description.abstract | 刀具剩餘壽命的預測一直以來都是切削加工中一個極為重要的議題,旨在確保在滿足要求的情況下最大程度地發揮刀具價值,精確的壽命預測對於加工規劃、良率、成本和效率等方面都有正面影響。由於其涉及的方面相當多,從加工參數、機台振動特性、受力情形、溫度到材料特性等,彼此又互相影響,也因此有多種多樣的標準存在。
本論文以應變率變化為切入點,研究切削中由磨耗引起的刀具幾何形狀變化,造成不同剪切角與溫升的影響。在切削過程中,切削所形成的切屑的塑性應變也隨之變化,展現出不同的形態,也受到溫度變化引起的氧化和其他因素的影響,可作為評估壽命的參考。實驗中觀察到切屑厚度隨著磨耗程度的變化,且隨著磨耗增加,切屑由完整一片轉變為破碎狀態。切屑的形成受到切削條件和刀具幾何的變化影響,因此,本研究嘗試使用相關頻率分析方法預測刀具壽命。 基於切削理論,金屬材料的應變速率應會在相當高頻的頻段,因此在訊號處理階段,將濾除低頻訊號再進行壽命指標的運算。指標的計算基於高頻頻段的能量總和,並乘上該頻段的偏度(skewness)修正值。修正值取自切削當下與振動值變異數處於低值時的兩個偏度相差百分比絕對值,將上述以累積和(CUSUM)方式處理,超過能量限時判斷刀具已嚴重磨耗。研究中使用動力計量測的力與振動作為嚴重磨耗的參照標準,以加速度規信號計算所提出之指標進行刀具壽命預測,結果顯示提前預測效果良好,平均誤差在7%以下,並且適用於不同切削條件。 | zh_TW |
dc.description.abstract | The prediction of tool remaining life has always been a crucial issue in machining processes, aiming to maximize the value of tools while ensuring compliance with specified requirements. Accurate life prediction has positive impacts on machining planning, yield, costs, and efficiency. Due to the multifaceted nature of this topic, it involves various aspects such as machining parameters, machine vibration characteristics, force conditions, temperature, and material properties, all of which are interconnected. Consequently, multiple standards exist to address these complexities.
This paper takes the variation in strain rate as a starting point to investigate the geometric changes in tools caused by wear during cutting processes, resulting in different shear angles and temperature rises. During the cutting process, the plastic strain of the chips formed also changes, exhibiting various forms. It is influenced by factors such as oxidation due to temperature changes, serving as a reference for assessing tool life. The experiments observed variations in chip thickness with the degree of wear, and as wear increased, the chips transitioned from a complete piece to a fragmented state. The formation of chips is influenced by changes in cutting conditions and tool geometry. Therefore, this study attempts to predict tool life using the method of frequency analysis. According to cutting theory, the strain rate of metallic materials during machining is expected to fall within a considerably high-frequency range. During signal processing, low-frequency signals are filtered out before computing the tool life indicator. The indicator is based on the cumulative energy in the high-frequency range, multiplied by the skewness correction value for that range. This correction value is derived from the absolute percentage difference in skewness between the cutting moment and the variance of vibration values when they are in a low state. The tool is considered severely worn when the cumulative sum (CUSUM) exceeds the energy limit. Force and vibration measurements obtained through dynamic sensing are utilized as reference standards for severe tool wear. The proposed indicator, calculated from accelerometer signals, demonstrates early prediction capabilities with an average error of below 7%, proving its applicability across various cutting conditions. | en |
dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-03-08T16:16:53Z No. of bitstreams: 0 | en |
dc.description.provenance | Made available in DSpace on 2024-03-08T16:16:54Z (GMT). No. of bitstreams: 0 | en |
dc.description.tableofcontents | 目次
致謝 i 摘要 ii Abstract iii 目次 v 圖次 vii 表次 xi 第1章 緒論 1 1.1 研究背景 1 1.2 文獻回顧 2 1.3 研究目的 10 1.4 本文架構 11 第2章 相關理論 13 2.1 磨耗形成原因與階段特徵 13 2.2 切削力模型[21] 15 2.3 切屑變形 19 2.4 訊號分析 20 第3章 實驗設備與方法 26 3.1 實驗設備 26 3.1.1 實驗機台 26 3.1.2 實驗刀具與材料 27 3.1.3 量測儀器 28 3.2 實驗規劃 31 3.2.1 實驗設置與參數 31 3.2.2 實驗流程 33 3.2.3 量測方法 34 3.2.4 主軸頻率測定 36 第4章 實驗結果與分析 40 4.1 刀具磨耗情形 40 4.2 切屑觀察 49 4.3 感測器時域訊號分析 52 4.4 感測器頻域訊號分析 62 第5章 模型與驗證 68 5.1 預測模型 68 5.2 驗證結果與討論 71 第6章 結論 74 參考文獻 75 | - |
dc.language.iso | zh_TW | - |
dc.title | 刀具磨耗與振動訊號之頻域相關分析 | zh_TW |
dc.title | Correlation Analysis between Tool Wear and Frequency-Domain Vibration Signals | en |
dc.type | Thesis | - |
dc.date.schoolyear | 112-1 | - |
dc.description.degree | 碩士 | - |
dc.contributor.oralexamcommittee | 李貫銘;盧銘詮 | zh_TW |
dc.contributor.oralexamcommittee | Kuan-Ming Li;Ming-Chyuan Lu | en |
dc.subject.keyword | 刀具磨耗,剩餘使用壽命,振動訊號,切屑型態,銑削, | zh_TW |
dc.subject.keyword | tool wear,remaining useful life,vibration signal,chip morphology,milling, | en |
dc.relation.page | 77 | - |
dc.identifier.doi | 10.6342/NTU202400730 | - |
dc.rights.note | 同意授權(全球公開) | - |
dc.date.accepted | 2024-02-18 | - |
dc.contributor.author-college | 工學院 | - |
dc.contributor.author-dept | 機械工程學系 | - |
顯示於系所單位: | 機械工程學系 |
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