系所成員 Faculty and Staff

Name 戴仲裕 / Chung-Yu (Harkat) Tai
Title 助理教授 / Assistant Professor
Education Ph.D., Mechanical Engineering, The University of British Columbia
Office Phone 04-22840433 ext.404
Office 機械系館四樓 P404
Email harkattainchu.edu.tw
Division 固力設計組、精密製造組
Research Expertise Metal Cutting Mechanics and Dynamics / 金屬切削動力學
Machine Failure Monitoring / 機器損壞監控
Aerospace Manufacturing / 航太製造
Digital Twins / 數位雙生
Mechatronics / 機電整合
Physical AI / 實體人工智慧
Scientific Machine Learning (SciML) / 科學機器學習
● Ph.D., Mechanical Engineering, The University of British Columbia  (2019.09~2024.05)
● M.S., Mechanical Engineering, National Chung Hsing University (2013.09~2015.06)
● B.S., Mechanical and Electro-Mechanical Engineering, Tamkang University (2009.09~2013.06)
● Assistant Professor, Department of Mechanical Engineering, National Chung Hsing University (2026.02 ~ Present)
● Postdoctoral Research Fellow, Manufacturing Automation Laboratory, The University of British Columbia (2024.05 ~ 2026.01)
● Associate Engineer, Intelligent Machinery Technology Center, Industrial Technology Research Institute (2015.08 ~ 2019.08)
Years Awards
2020-2024 President's Academic Excellence Initiative PhD Award by The University of British Columbia
2023 Faculty of Applied Science Graduate Award by The University of British Columbia
2019 45th Session Research & Development Alternative Service Award by Ministry of the Interior, R.O.C. Taiwan
2016 Excellent Research Article Award by Taiwan Society for Precision Engineering (TSPE)
2016 Annual Research Article Award by Industrial Technology Research Institute (ITRI)
Journal Papers
  1. P. Su, C.-Y. Tai, Y. Altintas, “Hybrid neural network framework for predicting tool tip dynamics via receptance coupling,” CIRP Journal of Manufacturing Science and Technology, vol. 63, pp. 566-581, 2025, https://doi.org/10.1016/j.cirpj.2025.11.006
  2. C.-Y. Tai, Y. Altintas, “A Physics-based Model-data-driven Method for Spindle Health Diagnosis, Part III: Model Training and Fault Detection,” ASME J. Manuf. Sci. Eng., vol. 148, no. 8, pp. 081006-1-081006-16, 2024, https://doi.org/10.1115/1.4065227.
  3. C.-Y. Tai, Y. Altintas, “A Physics-based Model-data-driven Method for Spindle Health Diagnosis, Part II: Dynamic Simulation and Validation,” ASME J. Manuf. Sci. Eng., vol. 148, no. 8, pp. 081005-1-081005-24, 2024, https://doi.org/10.1115/1.4065221.
  4. C.-Y. Tai, Y. Altintas, “A Physics-based Model-data-driven Method for Spindle Health Diagnosis, Part I: Modeling of Geometric Faults,” ASME J. Manuf. Sci. Eng., vol. 148, no. 8, pp. 081004-1-081004-21, 2024, https://doi.org/10.1115/1.4065062.
  5. C.-Y. Tai, Y. Altintas, “A hybrid physics and data-driven model for spindle fault detection,” CIRP Annals, vol. 72, no. 1, pp. 297-300, 2023, https://doi.org/10.1016/j.cirp.2023.04.054.
  6. Y. J. Chan, C.-Y. Tai, “Free Vibration of Stepped Rectangular Mindlin Plates with Non-Lévy Boundary Conditions,” International Journal of Mechanical Sciences, vol. 144, pp. 668-678, 2018, https://doi.org/10.1016/j.ijmecsci.2018.05.052.
  7. C.-Y. Tai, Y.-J. Chan, “A Hierarchic High-order Timoshenko Beam Finite Element,” Computers & Structures, vol. 165, pp. 48-58, 2016, https://doi.org/10.1016/j.compstruc.2015.12.002. (Annual Research Article Award)
 
Conference Papers and Presentations
  1. Y.-J. Chan, C.-Y. Tai, Y.-Y Li, “Efficient estimation of clamped step-thickness plates FRFs in industrial systems,” Special Topics in Structural Dynamics, Conference Proceedings of the Society for Experimental Mechanics Series, vol. 5, pp. 61-65, 2018, Florida, USA, https://doi.org/10.1007/978-3-319-75390-4_5.
  2. C.-Y. Tai, S.-C. You, M.-Y. Chen, Y.-J. Chan, “Optimal Frequency-dependent Weighting Function in Modal Identification,” Proceeding of IMAC XXXV, 2017, Garden Drove, California, USA.
  3. C.-Y. Tai, Y.-H. Chen, Y.-C. Lo, C.-Y. Lai, Y.-J. Chan, “Contact Stiffness Identification Between Thin-walled Workpiece and Vice by Model Updating,” Proceeding of IMAC XXXV, 2017, Garden Drove, California, USA.
  4. C.-Y. Tai, Y.-H. Chen, T.-J. Peng, “Virtual Prediction of Stability Cutting of Aerospace Thin Wall,” Taiwan Precision Technology Workshop, 1(42), 2016, Hsinchu, Taiwan. (Excellent Research Article Award)
  5. C.-Y. Tai, Y.-H. Chen, C.-R. Huang, T.-J. Peng, “Virtual Machining Prediction Technology of Dynamic Stability with Aerospace Thin-Walled Workpiece,” The 5th International Conference on Virtual Machining Process Technology, 2016, Taipei, Taiwan.
 
Patents
  1. C.-Y. Tai, Q.-Z. Yang, K.-H. Chen, T.-J. Peng, “Clamping device and clamping system using the same,” US Patent #10926380B2, Taiwan Patent #107143051A, China Patent #111251019B, 2018
  2. C.-Y. Tai, K.-H. Chen, C.-R. Huang, T.-J. Peng, “Fixture for thin-walled workpiece,” US Patent #10456882B2, Taiwan Patent #I630071B, China Patent #109693125B, 2017
  3. C.-Y. Tai, C.-Y. Kai, Y.-S. Chen, T.-J. Peng, “Non-contact dynamic stiffness measurement system and method,” Taiwan Patent #105135179A, China Patent #201611122662.1A, 2016
  4. C.-Y. Kai, C.-Y. Tai, R.-Z Lee, Y.-S. Chen, J.-J. Wang, “Vibration absorber and semi-active vibration reduction method using the same,” Taiwan Patent #105136143A, China Patent #108058057A, 2016

Detailed list in Google Scholar: https://scholar.google.com.tw/citations?user=5Sp1z-cAAAAJ&hl=en