The Case-Based System for Aluminum Extrusion Die Design in a Context of Integrated Design
Chaiwat NOOMTONG 1,2, Suthep BUTDEE 1,2, Serge TICHKIEWITCH 3
1 Thai-French Innovation Center (TFIC)
2 Integrated Manufacturing System Research Center (IMSRC) Faculty of Engineering, King Mongkut’s Institute of Technology North Bangkok, Bangkok, Thailand
3 G-SCOP Laboratory, Institut National Polytechnique de Grenoble (INPG), Grenoble, France.
Track: EXTRUSION/DIE, PRACTICAL - Tooling Performance
ABSTRACT --- In practice, aluminum extrusion die design is based on the
experience, skills, and knowledge of a die designer. As the explicit and implicit
knowledge of die design is not easy to be directly obtained from die design
experts, we propose the artificial intelligence tool as a case base system. It is used
to gather such knowledge in a computer system for supporting a new die design.
In addition, die design knowledge should be integrated and shared for increasing
die efficiency. Presently, the knowledge-based method has been established as a
good tool for collecting experience in a computer system. The knowledge-base of
die design consists of engineering knowledge captured from text and documented
data and experience gained from factory experts. Such knowledge can be die
success or failure knowledge, which is approved to match with company
constraints. This paper presents the result of developing the case-based system
for aluminum extrusion die design. The system has been successfully tested in
the design and application of an aluminum extrusion die. It is found that the
system can reduce extrusion die design time and provide quality extruded
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