2006 Graduate Catalog and 2005 Annual R & D Report - Sirindhorn ...

2006 Graduate Catalog and 2005 Annual R & D Report
Sirindhorn International Institute of Technology (SIIT)
School of Manufacturing Systems and Mechanical Engineering
Faculty Members and Research Interests, 2006
Dr. Bundit Limmeechokchai
Associate Professor
B.Eng. (1 st Class Honors) in Mechanical Engineering, King Mongkut's Institute of Technology North Bangkok
M.Eng. in Rational Use of Energy, Asian Institute of Technology (AIT), Thailand
D.Eng. in Energy Economics and Planning, Asian Institute of Technology (AIT), Thailand
Areas of Specialization: Energy conservation and energy management in buildings, Demand-side
management, Integrated resource planning, Modeling of energy and environment systems.
Research Interests:
Energy Management and Energy Conservation
Energy management is the effective use of energy to
maximize profits (minimize costs). A comprehensive
energy management program is not purely technical.
It takes into account planning and communication as
well as marketing. Energy management includes
energy productivity and energy awareness. In
Thailand, energy management in buildings and
industries is necessary to the country, as an energy
importing country. The state has implemented energyconservation
policies and measures for close to 20
years with little evidence of success. On the other
hand, the energy consumption and GDP per capita in
constant 1980 US$ from 1973 to 1990 are highly
correlated with an elasticity of 1.12, which shows
energy-consumption growth. The Energy-Conservation
Promotion (ECP). Act was passed in 1992 and has
been implemented since 1996 with one objective being
the promotion of energy efficiency in buildings and
industries.
Integrated Resource Planning
Traditionally, the method used in the power
expansion process is to identify the sequence of
generation additions which results in supplying the
forecast load at the minimum overall costs, which has
concentrated almost exclusively on supply-side
options. However, it can be assumed that the saving
of electricity through a demand side management
(DSM) program is equivalent to building a new power
generating unit. This concept is known as integrated
resource planning (IRP). Therefore, each of the
programs in DSM program of the Thai power sector
will be evaluated in the IRP process.
Dr. Chakguy Prakasvudhisarn
Assistant Professor
B.Eng. in Computer Engineering, Chulalongkorn University, Bangkok, Thailand
M.S. in Computer Science, University of Oklahoma, OK, USA
Ph.D. in Industrial Engineering, University of Oklahoma, OK, USA
Areas of Specialization: Form Tolerance Evaluation, Automated Inspection (Vision and CMM systems),
Computer Aided Manufacturing, Mathematical Programming, and Computational Intelligence (Support Vector
Machines, Neural Networks, and Fuzzy Logic).
Research Interests:
Form Tolerance Evaluation
Perfectly manufactured parts are nearly impossible to
achieve due to variations in machining such as
operators’ skills, tool characteristics, machine
characteristics, and cost. Therefore, size and
geometric tolerances of finished parts must be
inspected. Form tolerances, a type of geometric
tolerances, are applicable to single (individual)
features or elements of single features. A form
tolerance specifies a minimum zone within which the
considered feature must be contained. Some
common types are straightness, flatness, circularity or
roundness, and cylindricity. However, complex forms,
such as conicity and torusity have been largely
ignored in the coordinate form literature. The
deviation models of such forms are of interest. Their
minimum zone solutions are then determined.
Computational Intelligence Approaches for
Automated Inspection
For complex forms, the deviation models are highly
nonlinear and they may not be differentiable. This
may result in impracticality of gradient-based
nonlinear optimization approaches. Computational
Intelligence approaches are taken into consideration
as alternatives to find minimum zone verification. The
form tolerances algorithms are developed by utilizing
the advantages of these approaches. In addition,
they can be incorporated with CMM controller
software for automated parts inspection.
32