Professor
Phone: 18907138502
Email: chenhanlee@hotmail.com
Academic Areas: Five axis machining technology, CAD/CAM/CNC algorithm, software development Robot off-line programming system, control system of industrial robot
Chen-Han Lee is the Chief Research Fellow (首席科学家) of National NC System Engineering Research Center (NERC) in Huazhong University of Science and Technology (HUST) and a State Specially Recruited Expert (国家特聘专家) of China. Dr. Lee also holds consulting or visiting positions in Wuhan Huazhong CNC, Co., HUST, and Nanjing University of Aeronautics and Astronautics.
Dr. Lee received Ph.D. of Physics from Purdue University. Before joining NERC, he spent 20 years developing advanced CAD/CAM/CNC/MPM software, mostly with Siemens PLM Software (previously UGS).
Dr. Lee and his team focus on the R&D of Computational NC Machining, with equal emphasis on academic studies and industrial applications. The long-term goal is to inject intelligence and the ability to fully optimize machining processes into CAx and other computerized systems.
Academic Degrees
1976---1980 National Taiwan University, Taipei, R.O.C. B.S. in Physics
1983----1985 Ohio State University, Columbus M.S. in Physics
1985---1989 Purdue University， West Lafayette Ph.D. in Physics
Professional Experience
1991 – 1992, Spectrum Management Group, San Antonio, TX Senior Scientist
1992 – 1996, EDS Unigraphics, Cypress, CA Software Engineer
1996 – 2000, Unigraphics Solutions (UGS), Cypress, CA Manager/Advanced Software Engineer
2001 – 2005, UGS/EDS PLM Solutions, Cypress, CA Senior Software Engineer
2005 – 2006, UGS PPDC, Shanghai, China R&D/Site Manager
2006 – 2009, Siemens PLM Software, Cypress, CA Technical Consultant
2010 – 2011, Surfware, Inc., Camarillo, CA Senior Software Developer
2011 – 2013, Wuhan Huazhong Control Co., Ltd (HCNC), Wuhan, China Deputy Chief Engineer
2013 – present , National NC Sys. Eng. Res. Center Chief Research Fellow
Selected Publications
1. Pengcheng Hu, Kai Tang, Chen-Han Lee, Global obstacle avoidance and minimum workpiece setups in five-axis machining, Computer-Aided Design, 45(2013)
2. Changya Yan, Chen-Han Lee, Jianzhong Yang, Three-axis Tool-path B-spline Fitting Based on Preprocessing, Least Square Approximation and Energy Minimization and Its Quality Evaluation, MM Science Journal, MATAR 2012 Special Issue.
3. Chen-Han Lee, Computational NC Machining Operations, a graduate-level textbook, to be published by Taylor and Francis.
4. Chen-Han Lee, Jon Dym, Lingyun Lu, Guangyan Yin, Shape Preserving Global Parameterization for CAD/CAM/CAE, IMECE2004-60274, Proceedings of IMECE2004.
5. Chen-Han Lee, Smooth Tool-axis Variation in 5-axis Surface Machining, IMECE2004-60276, Proceedings of IMECE2004.
Awards and Honors
Recipient of 2011 Recruitment of Global Experts award from Chinese government for NC technologies key project.
Courses Taught
Theory and application of free-form surface manufacturering
Centers/Programs
Current Funding
2013-2015, 与工艺融合的高端多轴加工工艺与编程方法研究，from "High-end Numerical Control Machine Tool and Equipments" National Key Technology incentive.
2012-2014, 智能化高档数控系统关键技术研究及应用, from National Technology Support incentive.
2012-2014, 开放式高档数控系统、伺服装置和电机成套产品开发与综合验证， from "High-end Numerical Control Machine Tool and Equipments" National Key Technology incentive.
Patents
Chen-Han Lee, System, Method, and Computer Program Product for Determining a Translation Vector, US patent #8497875, July 30,2013.
一种平面螺旋状和环状铣销轨迹生成方法, Chinese patent #201210397262.7, 2014-7-3.
一种基于势能场及能量泛函优化的刀具轨迹产生方法, Chinese patent #201210432202.4, 2014-7-29.
数控加工中的运动规划方法、运动规划器及其应用, Chinese patent #201210279765.4, 2014-6-17.
一种基于虚拟机床模型的云端数控系统实现方法及系统, Chinese patent #201210205272.6, 2014-3-3.
Research Topics:
Use field-based covariant functional to compute optimal tool paths, including optimal tool-axis orientations.
Develop intelligent multi-axis blade machining software capable of generating optimal tool paths.
Incorporate machine configuration and dynamics into computing optimal tool paths.
Apply tool-axis optimization technologies in laser cutting and hardening.
Develop advanced methods to optimize (and modify) existing tool paths for high speed and high precision machining.
Study new interpolation algorithms for CNC systems.
Implement a framework for cloud-based CNC systems and related applications.
Define free-form surface features based on machine configuration and dynamics.
