AN ARTIFICIAL INTELLIGENCE-BASED DESIGN TOOL FOR THIN FILM COMPOSITE MATERIALS
作者:
JON STICKLEN,
AHMED KAMEL,
MARTIN HAWLEY,
JOHN DELONG,
期刊:
Applied Artificial Intelligence
(Taylor Available online 1992)
卷期:
Volume 6,
issue 3
页码: 303-313
ISSN:0883-9514
年代: 1992
DOI:10.1080/08839519208949957
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
Current design approaches for composite materials may typically be categorized as either (a) dependent on the experience of seasoned designers of manufacturing protocols for composites or (b) dependent on fundamental studies of the materials involved. We are currently undertaking research to combine these two approaches in an artificial intelligence-based problem-solving system. We report research in progress aimed at automating capability (a) by leveraging a known AI technique: Routine Design. We have implemented a prototype system in the language of Routine Design (DSPL) that covers part of the domain of protocol design for thin film epoxy-resin composite materials. Results encourage further development. We conclude by describing the overall problem-solving architecture we are developing.
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