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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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