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Sangkee Min

Sangkee Min

Associate Professor Grainger Institute for Engineering Faculty Scholar

Dr. Min earned his Ph.D. at UC Berkeley with manufacturing major and industrial engineering & operations research minor. His Ph.D. work focused on very practical industrial problems like burr minimization from various machining processes and the outcome of his research was tested and implemented at the automotive and aerospace industry. After his Ph.D., he went to Japan as a special assistant professor at Keio University where he expanded his industrial connection to many Japanese industries; automotive, machine tool, tool makers, oil refinery, etc. with his environmental machining research.

He returned to the US for a venture opportunity that was to fabricate a customized knee surgery assistive device. He was working as a manufacturing director where he developed a traceable manufacturing system for high mix low volume medical device production. He left the company for another challenge, ultra-precision nano-machining technology that he considered as emerging and enabling technology. He joined DTL Corporation (Mori Seiki’s US R&D) where his team developed an ultra-precision 5-axis nano machine and machining technology.

He conducted many private consulting projects on various subjects on manufacturing from technical process level consulting to global manufacturing strategy and manufacturing policy-making. With strong passion toward manufacturing and growing attention to US manufacturing, he started working for Lawrence Berkeley National Laboratory to assist its manufacturing strategy as a consultant and joined as a staff scientist. At LBNL, he was working to establish the advanced manufacturing center integrating existing manufacturing excellence and developing new manufacturing technology with an emphasis on ultra-precision machining technology.

From a long history of his manufacturing experience at several countries (US, Japan, Germany, and Korea), he learned that one of key contributors of economic success of one country is keeping manufacturing excellence in the country while maintaining healthy manufacturing ecosystem and proper level of social respect toward manufacturing. He is working to contribute his knowledge and experience to revival of US manufacturing and keeping it sustainable.

Department

Mechanical Engineering

Contact

1039, Mechanical Engineering Bldg
1513 University Ave
Madison, WI

Professor Sangkee Min, Mechanical Engineering, University of Wisconsin–Madison

  • PhD 2001, Univ. of California-Berkeley
  • Certificate 1998, Univ. of California-Berkeley
  • MS 1993, Yonsei University
  • BS 1991, Yonsei University

  • Manufacturing for Design (MFD)
  • Ultra-precision machining technology
  • Manufacturing energy efficiency and strategy
  • Appropriate technology
  • Burr minimization and prevention
  • Digital manufacturing and smart manufacturing
  • Hybrid manufacturing

  • 2023 KSEA-MRC (Midwest Regional Conference), Best Poster Award
  • 2023 IJPEM-GT, Certificate of Reviewer
  • 2022 KSPE, Best Editor Award
  • 2022 ASME MSEC 2022, Best Poster Award
  • 2021 UKC 2021, Best Presentation Award
  • 2021 PRESM 2021, Best Paper Award
  • 2020 NPE 2020, Certificate of Outstanding Editor
  • 2019 UKC 2019, Best Poster Award
  • 2019 National Science Foundation, NSF CAREER Award
  • 2018 IJPEM-GT, Certificate of Reviewer
  • 2018 KSPE, Best Paper Award
  • 2018 KSPE, Best Presentation Award
  • 2018 KSMTE, Best Presentation Award
  • 2006 PE Publishing Award, Journal of Engineering Manufacture, Proceedings of the Institute of Mechanical Engineers Part B (2005), Best paper award
  • 1994 Korean Army, Honor of Excellency
  • 1988 Yonsei University, Yonsei Scholarship

  • Publication, Journals 57. Suk Bum Kwon,, & Sangkee Min*, (2024). Mechanism of anisotropic crack morphology generation on C-, R-, A-, and M-planes of sapphire during ultra-precision orthogonal cutting using a visualized slip/fracture activation model. Nanotechnology and Precision Engineering, 7(043006), 2024 https://doi.org/10.1063/10.0026318
  • Xu, Z., Selvaraj, V., & Sangkee Min*, (2024). Intelligent G-Code-Based Power Prediction of Ultra-Precision CNC Machine Tools through 1DCNN-LSTM-Attention Model. Journal of Intelligent Manufacturing, Accepted on, 2023. (Published online on 16 https://doi.org/10.1007/s10845-023-02293-z
  • Selvaraj, V., Al-Amin, M., Wu, X., Tao, W., & Sangkee Min*, (2024). Real-Time Action Localization of Manufacturing Assembly Using Deep Learning and Augmented Inference State Machines. Journal of Manufacturing Systems, 72, 8 https://doi.org/10.1016/j.jmsy.2023.12.007
  • Kwon, S. B., Nagaraj, A., Kim, D. N., Xi, D., Du, Y., Kim, W. K., & Sangkee Min*, (2023). Prediction of Crack Initiation in Single-Crystal Sapphire during Ultra-Precision Machining using MD Simulation-Based Slip/Fracture Activation Model. Precision Engineering, 86, 265-275 https://doi.org/10.1016/j.precisioneng.2023.12.007
  • Yamada, S., & Sangkee Min*, (2023). Assessment of Repeatability in Newly Developed Ultra-Precision Tool Setting Method using Electrical Breakdown for Ultra-Precision Machining. Manufacturing Letters, 35, 74-79 https://doi.org/10.1016/j.mfglet.2023.08.025
  • Lowery, Z., Maeng, S., & Sangkee Min*, (2023). Investigation of Work Coordinate System Setting in Ultra-Precision Machining using Electrical Breakdown for Non-conductive Materials. The International Journal of Advanced Manufacturing Technology, 129, 1731-1740 https://doi.org/10.1007/s00170-023-12396-9
  • Kim, J. H., Yun, B. H., Kwon, S. B., Min, S., & Hae-Sung Yoon*, (2023). Machinability Improvements of Soda-Lime Glass using Various Surface Coatings (표면 코팅을 통한 소다라임 유리의 가공성 향상). Journal of Korean Society of Precision Engineers, 40(10), 839-845 https://doi.org/10.7736/JKSPE.023.048
  • Selvaraj, V., & Sangkee Min*, (2023). AI-assisted Monitoring of Human-centered Assembly: A Comprehensive Review. International Journal of Precision Engineering and Manufacturing -- Smart Technology, 1, 201-218 https://doi.org/10.57062/ijpem-st.2023.0073
  • Selvaraj, V., Xu, Z., & Sangkee Min*, (2023). Intelligent Operation Monitoring of a 5-Axis Ultra-Precision CNC Machine Tool using Energy Data. International Journal of Precision Engineering and Manufacturing-Green Technology, Open Access, 10, 59-69 https://doi.org/10.1007/s40684-022-00449-5
  • Selvaraj, V., Al-Amin, M., Tao, W., & Sangkee Min*, (2023). Intelligent Assembly Operations Monitoring with the Ability to Detect Non-Value-Added Activities as Out-Of-Distribution (OOD) Instances. CIRP Annals, 72(1), 413-416 https://doi.org/10.1016/j.cirp.2023.04.027

  • M E 299 - Independent Study (Spring 2025)
  • M E 311 - Manufacturing: Metals and Automation (Spring 2025)
  • M E 699 - Advanced Independent Study (Spring 2025)
  • M E 790 - Master's Research and Thesis (Spring 2025)
  • M E 890 - PhD Research and Thesis (Spring 2025)
  • M E 964 - Special Advanced Topics in Mechanical Engineering (Spring 2025)
  • M E 299 - Independent Study (Fall 2024)
  • M E 429 - Metal Cutting (Fall 2024)
  • M E 491 - Mechanical Engineering Projects I (Fall 2024)
  • M E 790 - Master's Research and Thesis (Fall 2024)
  • M E 890 - PhD Research and Thesis (Fall 2024)
  • M E 990 - Dissertator Research and Thesis (Fall 2024)
  • M E 699 - Advanced Independent Study (Summer 2024)
  • M E 990 - Dissertator Research and Thesis (Summer 2024)
  • M E 299 - Independent Study (Spring 2024)
  • M E 311 - Manufacturing: Metals and Automation (Spring 2024)
  • M E 790 - Master's Research and Thesis (Spring 2024)
  • M E 890 - PhD Research and Thesis (Spring 2024)
  • M E 964 - Special Advanced Topics in Mechanical Engineering (Spring 2024)
  • M E 990 - Dissertator Research and Thesis (Spring 2024)
  • M E 429 - Metal Cutting (Fall 2023)
  • M E 790 - Master's Research and Thesis (Fall 2023)
  • M E 890 - PhD Research and Thesis (Fall 2023)
  • M E 990 - Dissertator Research and Thesis (Fall 2023)
  • M E 890 - PhD Research and Thesis (Summer 2023)
  • M E 990 - Dissertator Research and Thesis (Summer 2023)