Integration of material-based simulation into prognosis architectures

System or component prognosis can be accomplished by integrating a combination of technologies into an overall processing architecture. Key elements of this include sensed data inputs, understanding of failure physics, and variability-based life prediction techniques. Future prognosis systems can ta...

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Bibliographic Details
Published in2004 IEEE Aerospace Conference Proceedings (IEEE Cat. No.04TH8720) Vol. 6; pp. 3742 - 3747 Vol.6
Main Authors Nasser, L., Tryon, R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2004
Subjects
Aerospace materials
Aircraft propulsion
Automotive components
Engines
Gears
Military aircraft
Physics
Predictive models
Scheduling
US Department of Defense
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Summary:System or component prognosis can be accomplished by integrating a combination of technologies into an overall processing architecture. Key elements of this include sensed data inputs, understanding of failure physics, and variability-based life prediction techniques. Future prognosis systems can take advantage of newly developed probabilistic microstructural-based material simulation modeling for prediction of crack initiation and small crack growth of significantly smaller size than allowed by present day sensor technology. This work presents an overview of ongoing prognosis development and how material-based modeling fits within processing architectural plans.
ISBN:0780381556
9780780381551
ISSN:1095-323X
2996-2358
DOI:10.1109/AERO.2004.1368192