DocumentCode
2472439
Title
A decision support architecture for polymer composites design: implementations and evolution
Author
Lenz, Timothy ; McDowell, James K. ; Hawley, Martin C. ; Kamel, Ahmed ; Sticklen, Jon
Author_Institution
Composite Mater. & Structures Center, Michigan State Univ., East Lansing, MI, USA
fYear
1995
fDate
20-23 Feb 1995
Firstpage
102
Lastpage
108
Abstract
Herein lies a tour through the development of an architecture for polymer composite material design. The initial structure of the architecture is presented along with its underlying ideas. Being preliminary, this system was confined in its coverage of the domain, leading to the expansion of coverage in the next generation. However, it was realized that this implementation as well as the ideology behind it were incapable of fully addressing the complexities of material design. A methodology/ideology demarcation line can be drawn at this point, as the next system implemented a new approach called multiple design. With essentially the same depth as the previous system, this new system generated a family of designs, instead of the first best design. The most recent system was then implemented to substantially increase the domain coverage and fine-tune the knowledge organization. Throughout the growth and development of the material design methodology, the overall vision for polymer composites design has evolved as well
Keywords
composite materials; decision support systems; intelligent design assistants; polymers; software engineering; decision support architecture; domain coverage; knowledge organization; methodology/ideology demarcation line; multiple design; polymer composites design; Aerospace materials; Composite materials; Design engineering; Design methodology; Intelligent systems; Knowledge engineering; Laboratories; Manufacturing; Optical materials; Polymers;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence for Applications, 1995. Proceedings., 11th Conference on
Conference_Location
Los Angeles, CA
Print_ISBN
0-8186-7070-3
Type
conf
DOI
10.1109/CAIA.1995.378784
Filename
378784
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