Professor, Chair of the Department
B.Sc. Beijing Polytechnic; M.Sc. and Ph.D., (State Univ. of New York); P.Eng.
Engineering Office Wing, Room 551
- Design Automation and CAD
- Advanced Manufacturing
- Next Generation Fuel Cells
- Applications of Optimization and Intelligent Systems
The research of Dr. Dong and his associates focuses on design automation and advanced manufacturing. Specifically, their research interests include quantitative concurrent engineering design through global optimization; computer automated tolerance analysis and synthesis; planning and programming of sculptured part machining; rapid prototype development of fuel cell stack and plates; and dynamic traffic control. The research combines advanced computer modeling, optimization, and intelligent system to solve practical problems in mechanical design and manufacturing.
Their early work on integrated concurrent design focuses on the essential part of design for manufacturing - feature-based modeling and computer-automated tolerancing. More recently, they have developed a method for carrying out quantitative concurrent engineering design through virtual prototype-based, global optimization. This method extends the capability of advanced CAD/CAE tools. The approach can effectively incorporate multiple performance aspects and manufacturing considerations into design optimization. The technology has been applied to the development of Next Generation Transportation Fuel Cell Systems.
Research on intelligent planning, scheduling and control focuses on the real-time planning, scheduling and control problems with uncertain and time varying demands. The approach effectively applies two powerful tools: (a) the reasoning mechanism of a fuzzy-neural intelligent system to process qualitative knowledge to generate all feasible solutions; and, (b) the analysis capability of mathematical modeling and optimization to process quantitative data to identify the optimal solution of the problem. This technique has been successfully applied to computer-automated optimal production sequence generation, planning of optimal sculptured part machining, dynamic traffic control at a number of highway sections in British Columbia, and the optimal traffic contraflow operation for the George Massey Tunnel in Vancouver.
The research on intelligent CNC machining of sculptured parts is aimed at developing innovative methods of sculptured part rough and finishing machining. In addition to the automated CNC code generation from a CAD model, the approach identifies the best tool path pattern and optimizes all relevant cutting parameters. Significant machining time reduction and superior surface quality could be obtained.
Another active research area is the machine vision-based geometric modeling for intelligent robotic and manufacturing systems. This work was initiated in space robot research and later applied to the real-time dimension measurement and classification of vehicles on highways.
Dr. Dong's professional interests also extend to innovative industry design and manufacturing process. He authored patents on innovative design and manufacturing process.