Faculty Research Profile
Hyungson Ki
학력
• 2001 : Ph.D. in Mechanical Engineering, The University of Michigan, Ann Arbor
- Advisor : Prof. Jyoti Mazumder
• 1998 : M.S. in Mechanical Engineering, The University of Michigan, Ann Arbor
• 1996 : B.S. in Mechanical Engineering, POSTECH
주요 경력
• 2009 - Present : Associate Professor/Professor, UNIST
• 2003 - 2008 : Assistant Professor, Mechanical Engineering Department, Michigan State University
• 2001 - 2003 : Postdoctoral Research Fellow, The University of Michigan, Ann Arbor
레이저가공 및 인공지능 응용 연구실
Laser Processing and Artificial Intelligence Lab
본 연구실에서는 레이저 열처리, 레이저 용접, 레이저 클래딩과 같은 Macro Processing 기술과 레이저를 이용한 초정밀 가공, Dual-Beam 펄스 레이저 증착 기술을 포함한 다양한 레이저 가공 기술을 연구해 오고 있습니다. 최근에는 인공지능 기술을 활용하여 레이저 가공기술을 고도화하는 연구에 중점을 두고 있습니다. AI를 방대하게 활용하여 선도적인 레이저 가공 기술을 개발하면서, 시대의 흐름에 맞는 연구자를 양성하기 위해 노력하고 있습니다.
In our lab, we study advanced laser manufacturing technologies including not only conventional macro processing applications, such as laser heat treatment, laser welding, and laser cladding, but also laser microfabrication and dual-beam pulsed laser deposition for advanced functional coatings. Our recent focus is on the development of innovative technologies by extensively using artificial intelligence in various aspects of laser materials processing.
In our lab, we study advanced laser manufacturing technologies including not only conventional macro processing applications, such as laser heat treatment, laser welding, and laser cladding, but also laser microfabrication and dual-beam pulsed laser deposition for advanced functional coatings. Our recent focus is on the development of innovative technologies by extensively using artificial intelligence in various aspects of laser materials processing.
연구분야
딥러닝 응용 기술, 딥러닝을 이용한 레이저 가공 공정 예측 및 모니터링 기술, 레이저 가공 공정 멀티피직스 해석 기술, 레이저 용접, 레이저 열처리, 레이저 패터닝, 레이저 정밀가공, 펨토초 레이저 LIPSS 현상을 이용한 표면 패터닝 기술
연구주제
레이저 가공, 인공지능 응용, 레이저 용접, 레이저 열처리, 레이저 정밀가공
Laser Materials Processing, Deep Learning Applications, Laser Welding, Laser Heat Treatment, Laser Micromachining
Laser Materials Processing, Deep Learning Applications, Laser Welding, Laser Heat Treatment, Laser Micromachining
국가연구개발사업 기술 분류체계
국가과학기술표준분류
EA. 기계 > EA04. 정밀생산기계 > EA0403. 광에너지 응용 가공기계
논문
• Unified momentum equation approach for fluid-structure interaction problems involving linear elastic structures, H. Yeo and H. Ki*, Journal of Computational Physics 415, 109482 (2020)
• Cross-section bead image prediction in laser keyhole welding of AISI 1020 steel using deep learning architectures, S. Oh and H. Ki*, IEEE Access 8, 73359-73372 (2020)
• Fabrication of compound infrared microlens array with ultrashort focal length using femtosecond laser-assisted wet etching and dual-beam pulsed laser deposition, C. Deng, H. Kim, and H. Ki*, Optics Express 27 (20), 28679-28691 (2019)
• Deep learning model for predicting hardness distribution in laser heat treatment of AISI H13 tool steel, S. Oh and H. Ki*, Applied Thermal Engineering 153, 583-595 (2019)
• A study of keyhole behavior and weldability in zero-gap laser welding of zinc-coated steel sheets at subatmospheric pressures, J. Kim, S. Oh, M. Son and H. Ki*, Journal of Materials Processing Technology 249, 135-148 (2017)