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A domain-specific design architecture for composite material design and aircraft part redesignAdvanced composites have been targeted as a 'leapfrog' technology that would provide a unique global competitive position for U.S. industry. Composites are unique in the requirements for an integrated approach to designing, manufacturing, and marketing of products developed utilizing the new materials of construction. Numerous studies extending across the entire economic spectrum of the United States from aerospace to military to durable goods have identified composites as a 'key' technology. In general there have been two approaches to composite construction: build models of a given composite materials, then determine characteristics of the material via numerical simulation and empirical testing; and experience-directed construction of fabrication plans for building composites with given properties. The first route sets a goal to capture basic understanding of a device (the composite) by use of a rigorous mathematical model; the second attempts to capture the expertise about the process of fabricating a composite (to date) at a surface level typically expressed in a rule based system. From an AI perspective, these two research lines are attacking distinctly different problems, and both tracks have current limitations. The mathematical modeling approach has yielded a wealth of data but a large number of simplifying assumptions are needed to make numerical simulation tractable. Likewise, although surface level expertise about how to build a particular composite may yield important results, recent trends in the KBS area are towards augmenting surface level problem solving with deeper level knowledge. Many of the relative advantages of composites, e.g., the strength:weight ratio, is most prominent when the entire component is designed as a unitary piece. The bottleneck in undertaking such unitary design lies in the difficulty of the re-design task. Designing the fabrication protocols for a complex-shaped, thick section composite are currently very difficult. It is in fact this difficulty that our research will address.
Document ID
19930008333
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Punch, W. F., III
(Michigan State Univ. East Lansing, MI, United States)
Keller, K. J.
(Michigan State Univ. East Lansing, MI, United States)
Bond, W.
(McDonnell Aircraft Co. Saint Louis, MO., United States)
Sticklen, J.
(Michigan State Univ. East Lansing., United States)
Date Acquired
September 6, 2013
Publication Date
July 1, 1992
Publication Information
Publication: NASA. Ames Research Center, Working Notes from the 1992 AAAI Workshop on Automating Software Design. Theme: Domain Specific Software Design
Subject Category
Computer Programming And Software
Accession Number
93N17522
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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