A1. 期刊論文(Journal Paper)

1.    Lu, Ming‑Chyuan,·Chi, Nai‑Chia,· Kuo, Kuan‑Ting, 2024, “Experimental study of the generation and propagation of acoustic emission signals in laser micro welding,” International Journal of Advanced Manufacturing Technology, 135: 4455-4469, https://doi.org/10.1007/s00170-024-14754-7

2.     Wu, Cong‑Yue,  Lu, Ming‑Chyuan, Yang, Wei‑Chun, Chi,· Nai‑Chia, 2024, “Experimental study of balling defect generation and audible sound analysis in directed energy deposition metal additive manufacturing,” International Journal of Advanced Manufacturing Technology, 134:205–221, https://doi.org/10.1007/s00170-024-14138-x

3.    Huang, Ci-Rong, Lu, Ming-Chyuan, 2023, Investigation of Cutting Path Effect on Spindle Vibration and AE Signal Features for Tool Wear Monitoring in Micro Milling. Applied Sciences, 13, 1107. https://doi.org/10.3390/app13021107

4.    Chen, Ming-Zong, Lu, Ming-Chyuan, Wang, Pei-Ning, Chiou, Shean-Juinn, 2022, “Experimental study of quality monitoring system integrated with a microphone array in laser microlap welding” International Journal of Advanced Manufacturing Technology, 121, 2305–2316. https://doi.org/10.1007/s00170-022-09459-8 (SCI 24/50, Engineering, Manufacturing, 2020)

5.       Wan, Bing-Syun, Lu, Ming-Chyuan, Chiou, Shean-Juinn, 2022,  "Analysis of Spindle AE Signals and Development of AE-Based Tool Wear Monitoring System in Micro-Milling," Journal of Manufacturing and Materials Processing, 6, 42. https://doi.org/10.3390/jmmp6020042. (Scopus CiteScore - Q1 Mechanical Engineering)

6.      Hsu, Li-Yu, Lu, Ming-Chyuan, 2022, “ Experimental Study of Vibration Signal for a Prognostic System to Prevent Tool Breakage in Micro Gun Drilling,” International Journal of Advanced Manufacturing Technology, 119, pp.3469–3481. (SCI 24/50, Engineering, Manufacturing, 2020)

7.    Lin, Yu-Ru, Lee, Ching-Hung, Lu, Ming-Chyuan, 2022, “Robust Tool Wear Monitoring System Development by Sensors and Feature Fusion,” Asian Journal of Control, 24(3), pp. 1005-1021. https://doi.org/10.1002/asjc. (SCI 28/63 Automation & Control Systems, 2020)

8.     Lu, Ming-Chyuan, Chiou, Shean-Juinn, Kuo, Bo-Si, Chen, Ming-Zong, 2021, “Analysis of Acoustic Emission (AE) Signals for Quality Monitoring of Laser Lap Microwelding,”  Applied Sciences 11, 7045. https://doi.org/10.3390/app11157045. (SCI 38/90 Engineering, Multidisciplinary 2020)

9.     Kuo, Bo-Si, Lu, Ming-Chyuan, 2020, “Analysis of Sound Signal for Quality Monitoring in Laser Micro Lap Welding,” Applied Sciences, 10, 1934; doi:10.3390/app10061934 (SCI, 38/90 Engineering, Multidisciplinary 2020).

10.    Hung, C and Lu, M, 2013, “Model Development for Tool Wear Effect on AE Signal Generation in Micro Milling,” International Journal of Advanced Manufacturing Technology, 66, pp. 1845-1858.

11.     Lu, M and Wan, B, 2013, “Study of High Frequency Sound Signals for Tool Wear Monitoring in Micro Milling,” International Journal of Advanced Manufacturing Technology, 66, pp. 1785–1792.

12.   Hsu, Yu-Wei and Lu Ming-Chyuan, 2013, “Study of Cutting Parameter Effect on Spindle Vibration for Tool Breakage Monitoring in Drilling,” Intelligent Technologies and Engineering Systems/ Lecture Notes in Electrical Engineering, Vol. 234, pp 1009-1016.

13.  Yen, C., Lu, M. and Chen J, 2013, “Applying the self-organization feature map (SOM) algorithm to AE based Tool Wear Monitoring in Micro-Cutting,” Mechanical Systems and Signal Processing, 34, pp. 353-366.

14.   Huang, Y., Lu, M., Huang, C., and Chiou, S., 2012, “Development of Spindle Vibration Based Tool Breakage Monitoring System for Micro Milling,” MM science Journal- special issue, MATAR 2012-12028.

15.  Hsieh, W., Lu, M. and Chiou S., 2012, “Application of Back Propagation Neural Network for Spindle Vibration based Tool Wear Monitoring in Micro Milling,” International Journal of Advanced Manufacturing Technology, 61(1), pp. 53-61.

16.  Yen, C., Lu, M. and Chen J., 2010, “Study of AE signal for Tool Wear Monitoring in Micro Milling Based on LVQ Algorithm,” Advanced Materials Research, 126-128, pp. 719-725.

17.  Ming-Chyuan Lu and E. Kannatey-Asibu Jr., 2004, “Flank Wear and Process Characteristic Effect on System Dynamics in Turning,” ASME Journal of Manufacturing Science and Engineering, 126, pp.131-140.

18.  Ming-Chyuan Lu and E. Kannatey-Asibu Jr., 2002, “Analysis of Sound Signal Generation due to Flank Wear in Turning,” ASME Journal of Manufacturing Science and Engineering, 124, pp.779-808.

A2. 中文專業雜誌

1.     盧銘詮、王崇穎、梁宸瑜，2018，”鎳基合金加工訊號變異與刀具磨耗偵測系統強健性分析”，機械工業雜誌，第428期，50-59頁

2.    陳科翰、盧銘詮、戴岑臻，2016，”鋯鈦酸鉛(PZT)壓電材料薄膜微切削加工特性之影響分析”， 機械月刊，第486期，文18-21頁。

3.    呂長恩、盧銘詮、鄭瑞霖，2015，”麥克風陣列排列模式在微銑削刀具磨耗偵測之影響分析”，應用聲學與震動學刊 第6卷第2期 31-44頁

4.    黃啟榮、盧銘詮，2013年九月，“切削路徑變化對主軸振動訊號及微銑削刀具磨耗偵測系統之影響分析”，機械月刊，第458期，文5-25頁。

5.   蔡志成、盧銘詮、葉瑞銘，2013年六月，”切削工具機智能化技術研發,” 智慧自動化產業學刊，No.5，34-46頁。

6.     劉怡成、盧銘詮，2011 年 十一月，“應用鑽石塗層刀具在石墨微銑削加工之刀具磨耗分析”，機械月刊，第436期，6-25頁。

7.        盧銘詮、黃耀賢，2010年十二月，“重置刀具對主軸聲射與振動訊號在精微切削加工刀具狀態偵測之影響分析”，中國工程師學會會刊，Vol. 83，No. 6，36-47頁。

8.        盧銘詮、謝萬澔，2010年四月，“振動訊號在微銑刀具狀態偵測之應用”，機械月刊，第417期，76-92頁。

9.        盧銘詮，2008年三月，“微細切削加工與微刀具狀態偵測發展”，機械工業，第300期，73-88頁。

10.     盧銘詮，2006年十二月，“淺談工具機發展趨勢”，機構與機器設計，第17卷第8期，10-17頁。

 B. 研討會論文 (Conference Paper)

1.     Chin-Pao Ku and Ming-Chyuan Lu, 2024, “Experimental Study of Hatch Spacing Effect on Deposition Profile in DED Metal Additive Manufacturing,” The 21th International Conference on Automation Technology (Automation 2024), 2024, Taipei, Taiwan.

2.        Tsung-Yi Lin, Ming-Chyuan Lu, Cong-Yue Wu, Hung-Yue Chang, 2024, ” Implementation of A Compensation Method for Sound-Based Balling Defect Monitoring System in DED Metal Deposition,” 2024 World Congress on Micro and Nano Manufacturing (WCMNM 2024), Pattaya, Thailand,.

3.    Yan-You Lin, Yu-Xuan Lin, Ming-Chyuan Lu, Shih-Ming Wang, Yao-Yang Tsai, 2024, “A Study of the Deposition Efficiency in DED Additive Manufacturing Processes,” International Conference on Precision Engineering and Sustainable Manufacturing 2024 (PRESM2024)  Busan, Korea, A105.

4.        Xin Chen, Ming-Chyuan Lu, Kuan-Ming Li, 2023, “Analysis of Signal Features for Tool Wear Monitoring in Ultrasonic-Assisted Machining of Glass,” 2023 World Congress on Micro and Nano Manufacturing (WCMNM 2023), Evanston, USA, No. 43.

5.   Nai-Chia Chi, Ming-Chyuan Lu, 2022, “Experimental Study of AE and Sound Generation in Micro Laser Welding,” 2022 World Congress on Micro and Nano Manufacturing (WCMNM 2022), Leuven, Belgium, No. 40.

6     Yu-Wei Lin, Ming-Chyuan Lu, 2022, “Development of A Multi-Level Tool Wear Monitoring System in the Milling of Inconel 718,” The 19th International Conference on Machine Design and Production, Cappadocia, Turkey

7.  Ming-Chyuan Lu, 2022, “Challenge of system development for condition monitoring in intelligent manufacturing,” International Conference of Manufacturing Engineers(ICMTE) 2022, Korea, invited speech.

8.     Ming-Zong Chen and Ming-Chyuan Lu, 2021, ”Applying Microphone Array to the Quality Monitoring System in Laser Micro Lap Welding,” 2021 World Congress on Micro and Nano Manufacturing (WCMNM 2021), Mumbai, India, P. 087.

9.      Ming-Chyuan Lu, Shean-Juinn Chiou1, Bo-Si Kuo, and Ming-Zong Chen, 2020, “Acoustic Emission Signals for Quality Monitoring of Laser Lap Microwelding,” Proceedings of the JSME 2020 Conference on Leading Edge Manufacturing/Materials and Processing Cincinatti, OH, USA, LEMP6260

10.     Chung-Ying Wang, Ming-Chyuan Lu, Chien-Yao Huang, Wei-Cheng Lin, Hsiao-Yu Chou and  Fong-Zhi Chen, 2019, “Development of Sound based Tool Wear Monitoring System in the Milling of Inconel 718,” The 8th International Conference of Asian Society for Precision Engineering and Nanotechnology (ASPEN 2019), Matsue, Japan.

11.    Bo-Si Kuo, Ming-Chyuan Lu, 2019, ” Analysis of Sound Signal for Quality Monitoring in Laser Micro Lap Welding,” 2019 World Congress on Micro and Nano Manufacturing (WCMNM 2019), Raleigh, USA, P. 077.

12.    Wei-Chun Yang, Ming-Chyuan Lu, 2019, “ Analysis of  Signals for Defect Monitoring in metal Additive Manufacturing,” ASME 2019 Manufacturing Science and Engineering Conference, Eire, USA, MSEC2019-3079.

13.    W.C. Yang, M.C. Lu, S.J.Chiou, 2019, “Experimental Study of Audible Sound and AE Signals for Defect Monitoring in DED Metal Additive Manufacturing, ,” Proceeding of 8th Virtual Machining Process Technology, Vancouver, Canada, No. 79

14.  Li-Ting Yang, Ming-Chyuan Lu, Shih-Ming Wang,, Yao-Yang Tsai, Yunn-Shiuan Liao, 2018, ” Experimental Investigation of Cutting Force and AE Signals for Cutting Mode Transform in the Machining of Zirconium Oxide,” 2018 World Congress on Micro and Nano Manufacturing (WCMNM 2018), Portoroz, Slovenia, P. 087.

15.     Kuan-Mien Chang, Ming-Chyuan Lu, 2018, “Experimental Study of Acoustic Emission Signal for Surface Condition Monitoring in Si-Wafer Micro Milling,” ASME 2018 Manufacturing Science and Engineering Conference, College Station, USA, MSEC2018-6752.

16.     C.Y. Wang, M.C. Lu, S.J. Chiou, 2018, “Study of Multi-Sensor Tool Wear Monitoring System with Modified Recurrent Hidden Markov Model in the Milling of Inconel 718,” Proceeding of 7th Virtual Machining Process Technology, Hamilton, Canada, No. 138.

17.     Ming-Chyuan Lu, 2017, “Sensor and Feature Selection for Tool Condition Monitoring in Intelligent Manufacturing,” the 7th international conference of Asian Society for Precision Engineering and Nanotechnology, Nov.14-17, Seoul, Korea, Invited Speech

18.     Cheng-Yu Liang, Ming-Chyuan Lu, and Shih-Ming Wang, 2017“Experimental Study of Spindle Vibration Signals for Tool Wear Monitoring in the Milling of Inconel 718,” ASME 2017 Manufacturing Science and Engineering Conference, LA, USA, MSEC2017-3137.

19.     Kuan-Ting Kuo, Ming-Chyuan Lu, 2017, ”Investigation of AE signal Generation and Propagation for Laser Micro Lap Welding,” 2017 World Congress on Micro and Nano Manufacturing (WCMNM 2017), Kaohsiung, Taiwan, P. 036.

20.     Liang, Chen-Yu, Lu, Ming-Chyuan, 2016, “Analysis of Workpiece-Clamp AE Signals for Tool Wear Monitoring System in the Milling of Inconel 718, “Proceedings of ICAM2016, SunMoon Lake, Nantou, Taiwan, Dec17-19, 009053

21.     Wang, Pei-Ning, Lu, Ming-Chyuan,Wang, Shih-Ming, Liao, Yunn-Shiuan, 2016, “Application of MEMS Microphone Array for Tool Wear Monitoring in Turning,” Proceedings of 4M/IWF 2016, Lyngby, Demark, No. 737.

22.     Liang, Chen-Yu, Lu, Ming-Chyuan, Chiou, Shean-Juinn, 2016, “Development of Sound Based Tool Wear Monitoring System for The Milling of Inconel 718,” Proceedings of The 17th International Conference On Machine Design And Production, Bursa, Turky

23.     Liao, Yu-Chi, Lu, Ming-Chyuan, Kuo, Kuan-Ting, Liang, Chen-Yu, and Yang, Li-Ting , 2016,”An Experimental Study of Workpiece Dimension and Cutting Location Effect on Chatter Generation in Turning,” Proceeding of 5th Virtual Machining Process Technology, Taipei, Taiwan.

24.     Lee, Yu-Ting, Lu, Ming-Chyuan, and Wang, Shih-Ming, 2016, ” Study of Sound Signals for Penetration Monitoring in Laser Lap Micro Welding,” Proceedings of 2016 International Conference on Micro Manufacturing, Ervine, USA, No. 40

25.  Chen, Ken-Han, Lu, Ming-Chyuan, Wu, Chia-Che, Li, Kuan-Ming, Tsai, Yao-Yang, 2015,”An Experimental Study on Micro Milling of PZT deposited Si wafer,” Proceedings of 4M/ICOMM 2015, Milan, Italy, No. 43. 

26.  Huang, Ci-Rong, Lu, Ming-Chyuan, 2015, “Analysis of Cutting Path Effect on AE Signal Based Tool Wear Monitoring System in Micro Milling,” MIRAI 2015, Kaohsing, Taiwan. 

27.  Chang, Ling-Fang, Lu, Ming-Chyuan, Chen, Ko-Heng, and Wu, Chia-Che, 2014, “Development of Condition Monitoring System for Micro Milling of PZT Deposited Si Wafer,” Proceedings of  International Workshop on Microfactories, Honolulu, 008.

28.  Chien, Kun-Chieh and Lu, Ming-Chyuan, 2014,”Study of AE based Weld Quality Monitoring in Nd:YAG Laser Thin Plate Butt Welding,” Proceedings of ICAM2014, Chia-I, Taiwan, Sept. 30-Oct. 3, S0121.

29.  Tai, Tsen-Chen, Lu, Ming-Chyuan, Wu Chia-Che, Chou, Yen-Cheng, Tsai, Yao-Yang,, 2014, “Investigation of PZT/Si Wafer Micro Milling using Diamond Coated Tool,” ASME 2014 International Manufacturing Science And Engineering Conference, June, Detroit, Michigan, USA,2014-4087.

30.   Hsu, Li-Yu and Lu, Ming-Chyuan, 2014, “Analysis of Vibration Signal for Tool Breakage Prognosis in Micro Gun Drilling,” Proceedings of 2014 International Conference on Micro Manufacturing, Singapore, No. 79

31.   Lu, Ming-Chyuan, Shih, Han-Po, and Chiou, Shean-Juinn, 2013, “Experimental Study of AE Signals Affected by Tool Wear, Cutting Modes and Sensor Locations in Metal Cutting,” Proceeding of 2013 CACS International Automatic Control Conference (CACS 2013), Sun-Moon Lake, Taiwan, No. 1817.

32.  Chien, Kun-Chieh and Lu, Ming-Chyuan, 2013, “Analysis of Sound Signal for Weld Quality Monitoring in Nd:YAG Laser Thin Plate Butt Welding,” Proceeding of 16th international conference on Advances in Materials and Processing Technologies, Taipei, Taiwan, No. 405.

33.   Hsu, Li-Yu and Lu, Ming-Chyuan, 2013, “Development of AE Signal Based Tool Breakage Prognosis System in Micro Gun Drilling,” Proceedings of Structure Health Monitoring, Stanford University, CA, USA.

34.   Huang, Ci-Rong and Lu, Ming-Chyuan, 2013, “Analysis of Cutting Path Effect on Spindle Vibration Based Tool Wear Monitoring System in Micro Milling,” Proceedings of 2013 International Conference on Micro Manufacturing, Victoria, Canada, No. 27

35.     Huang, Y., Lu, M., Huang, C., and Chiou, S., 2012, “Development of Spindle Vibration Based Tool Breakage Monitoring System for Micro Milling,” Proceeding of 9th International Conference on Machine Tools, Automation, Robotics and Technology. Prague, Czech Republic, 12028.

36.     Liu, I. and Lu, M., 2012, “Analysis of Tool Wear and Size effect for Diamond Coated Tool in Micro Milling of Graphite,” Proceedings of 2012 International Conference on Micro Manufacturing, Evanston, USA, No. 69.

37. Huang C., Lu, M., Lu, C.and Hsu, Y., 2011, “Study of Spindle Vibration Signals for Tool Breakage Monitoring in Micro-Drilling,” 2011World Congress on Intelligent Control and Automation, Taipei, 2011, 00332.

38. Huang, C. and Lu, M., 2011, “Study of Microphone Array for Noise Reduction in Sound Based Micro-Tool Wear Monitoring,” ASME 2011 International Manufacturing Science And Engineering Conference, June, Corvallis, Oregon, USA, 2011-50099.

39. Wan, B., Lu, M., and Chiou, S., 2011, “Analysis of AE signal for HMM based Tool Wear Monitoring in Micro Milling,” Proceedings of International Conference on Micro Manufacturing, Tokyo, No. 55.

40. Lee, M., Lu, M., and Tsai, J., 2010, “Development of Sound Based Tool Wear Monitoring System in Micro-milling,” ASME 2010 International Manufacturing Science And Engineering Conference, October, Erie, Pennsylvania, USA,2010-34240.

41.     Yen, C., Lu, M. and Chen J., 2010, “Study of AE signal for Tool Wear Monitoring in Micro Milling Based on LVQ  Algorithm,” The 13th International Symposium on

Advances in Abrasive Technology, Taipei, Taiwan.

42.     Lu, M., Hsieh, W., and Chiou, S., 2010, “Study of Spindle Vibration based Tool Condition Monitoring in Micro Milling,” Proceedings of ICAM2010, Keng-Ting, Taiwan, Feb.2-5, pp. 528-532.

43.     Chen, T., Lu, M., Chiou, S., Lin, C., Lee, M., 2009, “Study of Sound Signal for Tool Wear Monitoring System in Micro-milling Processes”, ASME 2009 International Manufacturing Science And Engineering Conference, October, West Lafayette, Indiana, USA, 2009-84178

44. Lu, M., Chiou, S, and Hsieh W., 2009, “Investigation of Spindle Vibration Signals for Tool Wear Monitoring in Micro Milling,” Proceedings of the 10th international conference on automation technology, Tainan, Taiwan, P131.

45. Lu, M., Tsai, J., Chen, W., Lin, C., Lee, M., Kuo, T., and Peng H., 2009, “Development of On-line Monitoring Systems for Tool Degrading,” Proceedings of the 10th international conference on automation technology, Tainan, Taiwan, P168.

46. Yen, C., Lu, M., Lin, C., and Chen, T., 2008, “Experimental Study of Sound Signal For Tool Condition Monitoring In Micro Milling Processes,” Proceedings of the ASME 2008 International Manufacturing Science And Engineering Conference, October, Evanston, Illinois, USA, 2008-72181.

47. Tsui, C., Wu, C., Lu, M., and Huang C., 2008, “ Drilling Of Microholes On Silicon Wafer With Ultrasonic Workpiece Holder,” Proceedings of the ASME 2008 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, August, 2008, New York City, NY, USA, 2008 -50026

48. Yen, C., Lu., M., and Chen, T, 2008, “Investigation Of Multi-Sensor Signals For Tool Condition Monitoring In Micro-Milling Processes,” Proceedings of the 10th Anniversary International Conference of the European Society for Precision Engineering and Nanotechnology, Zurich, Switzerland, Vol.2, pp. 72-76.

49.     Lu, M., and Kannatey-Asibu, 2000, “Analysis of sound signal generation due to flank wear in turning,” American Society of Mechanical Engineers, Manufacturing Engineering Division, MED, v 11, 2000, pp 165-171

50.    Lu, Ming-Chyuan and Kannatey-Asibu Jr., E., 2000, “Analysis of Sound Signal Characteristics Associated with Adhesive Wear in Machining,” Transactions of the NAMRI/SME, Vol. XXVIII, pp. 257-262.

C. 專利 (Patents)

1.     盧銘詮、謝萬澔、黃耀賢、黃啟榮，工具機之切削加工刀具狀態偵測方法及其裝置，中華民國發明專利，專利證號: I422460

2.  盧銘詮、黃集豐、劉彥宏、李明興，加工機刀具狀態偵測方法及其裝置，中華民國發明專利，專利證號: I419761

3.  蔡志成、陳韋任、盧銘詮，資料自動分群演算法，中華民國發明專利，專利證號: I430114

4.  盧銘詮、王崇穎，回饋型隱藏式馬可夫模型辨識器的建立方法與基於此辨識器的辨識系統的建立方法，中華民國發明專利，專利證號I687696

5.  盧銘詮、 楊惟鈞，紀乃嘉，金屬積層製造的缺陷檢測機構與缺陷辨識方法，中華民國發明專利，專利證號: I761892