博碩士論文 106323027 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:5 、訪客IP:18.191.240.243
姓名 陳玉容(Yu-Rong Chen)  查詢紙本館藏   畢業系所 機械工程學系
論文名稱 利用灰色關聯分析法探究線切割放電於SKD61加工之最佳化參數
(Gray Relational Analysis to Explore the Optimal Process Parameters of Wire Electrical Discharge Machining in SKD61 Processing)
相關論文
★ 電泳沉積輔助拋光於SUJ2軸承鋼加工特性之研究★ 碳化矽電泳拋光矽晶圓表面粗糙度之研究
★ 超音波輔助添加導電粉末於放電加工鐵基金屬玻璃之研究★ 超音波輔助液中磨削鐵基金屬玻璃之研究
★ 脈衝複合偏壓電化學放電加工石英晶圓之研究★ 超音波振動輔助電化學放電加工石英晶圓陣列微孔之研究
★ 超音波輔助電化學留心加工矩槽圓柱構造之研究★ 快速塑性成型(QPF)製程的精準度探討
★ 超音波輔助微電化學鑽孔鎳基合金加工研究★ 超音波輔助添加碳化矽粉末於放電加工模具鋼SKD61之研究
★ Inconel 718 鎳基超合金異形電極微孔放電加工之研究★ 實驗分析研究應用於減低數據中心伺服器硬碟之結構傳遞振動
★ 超音波輔助電化學加工微孔陣列之研究★ 超音波輔助磨削AGC玻璃加工之研究
★ Inconel718鎳基超合金添加石墨烯粉末 微孔放電加工之研究★ 高功率超音波振動輔助線切割放電加工SKD61材料之研究
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   [檢視]  [下載]
  1. 本電子論文使用權限為同意立即開放。
  2. 已達開放權限電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。
  3. 請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。

摘要(中) 隨著市場快速的演變,加工生產產品有日趨多樣少量且更新週期越短之模式,為能縮短研發時程且避免因設計錯誤而導致成本浪費,故本研究將針對線切割放電加工SKD61 材料之加工品質特性最佳化及多重加工品質特性分析進行研究。
本研究初始選擇使用田口式實驗法,規劃加工參數以及和該參數不同的水準條件,探討材料移除率、加工擴槽量及表面粗糙度等加工品質特性,經由變異數分析(ANOVA)的推算,分別獲致單因子加工品質特性之顯著加工參數與最佳化加工品質特性之參數組合條件。接者將前階段之田口式實驗法中單因子加工品質特性數據轉化並賦予熵權重,後續再整合灰色關聯分析而成為多重加工品質特性之評估值,進而獲致一最佳化加工參數之組合設定;此外,再代入原本18組數據資料中進行再次運算,驗證上述第19組為最佳化加工參數之組合。
實驗結果顯示,藉由整合灰關聯分析與田口式實驗法之分析,係為可快速獲取多重加工品質特性最佳化參數組合條件的方法。
摘要(英) The requirements of manufacturing products are shorter product cycles and less production lot in the rapidly changing modern market. It is benefited for the companies that the new products can be provide to the market with fewer designing mistakes, shorter lead time and lower production costs. Recently, gray relational analysis (GRA) has been widely applied to estimate the optimal processing parameters with multiple quality characteristics. Therefore, the gray relational analysis was used in the study to optimal process parameters of WEDM in SKD61 processing.
The study on its early stage was based on the Taguchi method. The control factors and the levels of these control factors were identified after pre-experimental planning. The material removal rate, kerf loss and surface roughness are also analyzed. Through analysis of variance (ANOVA) and F statistic calculation, the significant control factors of each quality characteristic and the optimal combinations of control factors were obtained. The following steps were setting weight for each quality characteristic of the previous Taguchi method and estimating the optimal WEDM parameters with multiple quality characteristics. Optimal WEDM parameters can then be determined by the Taguchi method using the gray relational grade as the performance index. The original 18 sets of data were taken again for calculation with the 19th set of the parameters to verify that the 19th set of the parameters is optimal parameters. The verification experimental results show that optimal WEDM parameters can be determined by using the gray correlation analysis.
關鍵字(中) ★ 田口式實驗法
★ 變異數分析
★ 灰色關聯分析
關鍵字(英) ★ Taguchi Method
★ Analysis of Variance
★ Gray Relation Analysis
論文目次 摘要 ii
英文摘要 iii
誌 謝 iv
圖目錄 viii
表目錄 ix
第一章緒論 1
1-1前言 1
1-2研究動機與目的 2
1-3文獻回顧 3
1-3-1放電加工之文獻回顧 3
1-3-2田口實驗法之文獻回顧 4
1-3-3灰色關聯分析之文獻回顧 5
第二章理論基礎 6
2-1基本原理 6
2-1-1線切割放電加工之原理 6
2-1-2放電加工之材料去除機制 8
2-1-3線切割放電加工參數之影響 11
2-1-4線切割放電加工之特性 16
2-2田口實驗法 19
2-3灰色關聯分析法 21
2-3-1數據歸一化 22
2-3-2熵測度權重法 24
2-3-3灰色關聯度 25
第三章實驗流程與設備 27
3-1實驗流程 27
3-2實驗設置 30
3-2-1線電極材料 30
3-2-2工件材料 30
3-2-3加工絕緣液 31
3-2-4草酸 31
3-2-5鑽石研磨膏 31
3-2-6半自動式深孔放電加工機 32
3-2-7線切割放電機 32
3-2-8表面粗糙度儀 33
3-2-9光學顯微鏡 33
3-2-10金相研磨拋光機 34
第四章實驗結果與討論 38
4-1實驗參數選擇之探討 39
4-2單因子加工品質特性分析-田口法 41
4-2-1材料移除率 42
4-2-2加工溝槽寬 45
4-2-3表面粗糙度 47
4-3 多重加工品質特性分析-田口法耦合灰色關聯分析之探討 49
4-3-1 實驗數據歸一化 49
4-3-2 熵權重計算 50
4-3-3 灰色關聯度 52
4-3-4 多重加工品質特性分析 53
4-3-5 再鑄層探討 57
第五章結論 61
5-1結論 61
5-2未來展望 63
參考文獻 64
參考文獻 參考文獻
[1] 許坤明,非傳統加工,全華圖書,台北市,民國九十九年。
[2] D. K. Aspinwall., et al., “Workpiece surface roughness and integrity after WEDM of Ti-6Al-4V and Inconel 718Annals-Manufacturing Technology using minimum damage generator technology”, CIRP Annals-Manufacturing Technology, Vol.57, pp.57, 2008.
[3] J. W. Liu., et al., “Wire electrochemical discharge machining of Al2O3 particle reinforced aluminum alloy 6061”, Materials and Manufacturing Technology, Vol.24, pp.446-453, 2009.
[4] N. G. Patil., et al., “Determination of material removal rate in wire electro-discharge machining of metal matrix composites using dimensional analysis”, The International Journal of Advanced Manufacturing Technology, Vol.51, pp.599-610, 2010.
[5] 魏維良,CNC線切割放電加工,全華圖書。
[6] 蘇品書譯著,線切割放電加工,復漢出版社。
[7] 鍾雅健,線切割放電加工機,機械工業雜誌,pp.260-265。
[8] 王陳鵬,「線切割放電加工機加工性能均化之研究」,國立勤益科技大學,碩士論文,民國102年。
[9] Y. F. Luo., et al., “Investigation of silicon wafering by wire EDM”, Journal of Materials Science, Vol.27, pp.5805-5810, 1992.
[10] Y. Uno, A. Okada, Y. Okamoto and T. Hirano, “High performance slicing method of monocrystalline silicon ingot by wire EDM”, Initiatives of Precision Engineering at the Beginning of a Millennium, 10th International Conference on Precision Engineering(ICPE), pp. 219-223, 2002.
[11] D. Rakwal ., et al., “Fabrication of compliant high aspect ratio silicon microelectrode arrays using micro-wire electrical discharge machining”, Microsystem Technology-Micro-and Nanosystem-Information Storage and Processing Systems, Vol.15, pp.789-797, 2009.
[12] Kumar B., et al., “Influence of process parameters on performance charateristics during EDM of aluminum alloy 6082”, International Journal of Engineering Research & Technology, Vol.5, 2016.
[13] Bisaria, H. and P. Shandilya, “Experimental investigation on wire electric discharge machining (WEDM) of Nimonic C-263 super alloy”, Materials and Manufacturing Processes, Vol.34, pp.83-92, 2018.
[14] Thankachan, T., et al., “Prediction of surface roughness and material removal rate in wire electrical discharge machining on aluminum based alloys/composites using Taguchi coupled Grey Relational Analysis and Artificial Neural Networks”, Applied Surface Science, Vol.472, pp. 22-35, 2019.
[15] Ikram, A., et al., “Parametric optimization for surface roughness, kerf and MRR in wire electrical discharge machining (WEDM) using Taguchi design of experiment”, Journal of Mechanical Science and Technology, Vol.27, pp.2133-2141, 2013.
[16] Ramamurthy A., et al., “Taguchi-Grey computation methodology for optimum multiple performance measures on machining titanium alloy in WEDM process”, India Journal of Engineering & Materials Sciences, Vol.22, pp.181-186, 2015.
[17] Motorcu, A.R., E. Ekici, and A. Kuş, “Investigation of the WEDM of Al/B4C/Gr reinforced hybrid composites using the Taguchi method and response surface methodology”, Science and Engineering of Composite Materials, Vol.23, 2015.
[18] Rao.T. B., et al., “Optimizing machining parameters of wire-EDM process to cut Al7075/SiCp composites using an integrated statistical approach”, Advances in Manufacturing, Vol.22, pp.202-216, 2016.
[19] Ekici. E., et al., “Evaluation of surface roughness and material removal rate in the wire electrical discharge machining of Al/B4C composites via the Taguchi method”, Journal of Composite Materials, Vol.50, 2016.
[20] Jafari, R., et al., “Modeling and analysis of surface roughness of microchannels produced by μ-WEDM using an ANN and Taguchi method”, Journal of Mechanical Science and Technology, Vol.31, pp. 5447-5457, 2017
[21] Chakradhar A., et al., “Multi-Objective Optimization of Electrochemical machining of EN31 steel by Grey Relational Analysis”, International Journal of Modeling and Optimization, Vol.1, pp.113-117, 2011.
[22] Thanigaivelan R et al., “Optimization of process parameters on mechining rate and overcut in electrochemical micromachining using grey relational analysis”, Journal of Scientific & Industrial Research, Vol.72, pp.36-42, 2013.
[23] Rajyalakshmi. G., et al., “Multiple process parameter optimization of wire electrical discharge machining on Inconel 825 using Taguchi grey relational analysis”, International Journal of Advanced Manufacturing Technology, Vol.69, pp.1249-1262, 2013.
[24] Liu, J., et al., “Experimental Investigation on Electrochemical Machining of γ-TiAl Intermetallic”, Procedia CIRP, Vol.35, pp.20-24. 2015.
[25] Jeykrishnan, J., et al., “Parametric analysis on Electro-chemical machining of SKD-12 tool steel”, Materials Today: Proceedings, Vol.4, pp.3760-3766. 2017.
[26] Nain. S. S., “Evaluation and analysis of cutting speed, wire wear ratio, and dimensional deviation of wire electric discharge machining of super alloy Udimet-L605 using support vector machine and grey relational analysis”, Advances in Manufacturing, Vol.6, pp.225-246, 2018.
[27] Kavimani. V., et al., “Influence of machining parameters on wire electrical discharge machining performance of reduced graphene oxide/magnesium composite and its surface integrity characteristics”, Composites Part B-engineering, Vol.167, pp 621-630, 2019.
[28] 倉藤尚雄、鳳承三郎著,鄒大鈞譯,放電加工,復漢出版社,1999。
[29] 齊藤長男,蘇品書譯,線放電切割加工,復漢出版社,1996。
[30] 張渭川,放電加工的結構與實用技術,全華圖書,1996。
[31] 林宏彥,絕緣液中添加鋁粉對切割放電加工之影響,國立中央大學,碩士論文,民國93年。
[32] 江金山、吳佩玲、張宏志等人,灰色理論,五南圖書出版公司,台北市,2009年。
[33] 溫坤禮、趙鍾賢、蔣祥第等人,灰色理論入門,高立圖書有限公司,台北市,1998年。
[34] 王則眾、林大維,整合田口式實驗計畫法與灰色關聯分析於快速原型製程最優化研究,科技管理學刊,pp. 111-138,民國94年。
[35] 王則眾、葉瑞平,鐵鋁基合金線切割放電加工特性之研究,中正醫學報,第三十一卷,第二期,民國92年。
[36] 王則眾、魯基才等人,應用類神經網路與田口式實驗計畫法於品質特性之研究,創新與管理,pp. 91-112,民國94年。
[37] 鄭燕琴編著,田口品質工程技術理論與實務,中華民國品質管制學會,台北市,1995年。
[38]孔祥桓,利用灰色關聯分析法探究遮罩式電化學穿孔之最佳化參數,
國立中央大學,碩士論文,民國107年。
指導教授 崔海平(Hai Ping Tsui) 審核日期 2019-7-10
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明