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Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines

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Feldname	Details
Vorliegende Sprache	eng
ISBN	978-3-319-14680-5
Name	Montomoli, Francesco
Name	Carnevale, Mauro
Name ANZEIGE DER KETTE	Carnevale, Mauro
Name	D'Ammaro, Antonio
	Massini, Michela
	Salvadori, Simone
T I T E L	Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines
Verlagsort	Cham ; s.l.
Verlag	Springer International Publishing
Erscheinungsjahr	2015
Erscheinungsjahr	2015
Umfang	Online-Ressource (XIII, 90 p. 49 illus., 31 illus. in color, online resource)
Reihe	SpringerBriefs in Applied Sciences and Technology
Notiz / Fußnoten	Description based upon print version of record
Weiterer Inhalt	Manufacturing in Service Uncertainty and Impact on Life and PerformanceLimitations in Turbomachinery CFD -- Uncertainty Quantification Applied to Gas Turbine Components -- Overview of Uncertainty Quantification Methods -- Future Developments.
Titelhinweis	Druckausg.ISBN: 978-331-91468-0-5
ISBN	ISBN 978-3-319-14681-2
Klassifikation	TTDS
	TRP
	TEC002000
	629.13435
	620.106
	629.1
	TL787-4050.22
Kurzbeschreibung	Manufacturing in Service Uncertainty and Impact on Life and Performance -- Limitations in Turbomachinery CFD -- Uncertainty Quantification Applied to Gas Turbine Components -- Overview of Uncertainty Quantification Methods -- Future Developments.
2. Kurzbeschreibung	This book introduces novel design techniques developed to increase the safety of aircraft engines. The authors demonstrate how the application of uncertainty methods can overcome problems in the accurate prediction of engine lift, caused by manufacturing error. This in turn ameliorates the difficulty of achieving required safety margins imposed by limits in current design and manufacturing methods. This text shows that even state-of-the-art computational fluid dynamics (CFD) are not able to predict the same performance measured in experiments; CFD methods assume idealised geometries but ideal geometries do not exist, cannot be manufactured and their performance differs from real-world ones. By applying geometrical variations of a few microns, the agreement with experiments improves dramatically, but unfortunately the manufacturing errors in engines or in experiments are unknown. In order to overcome this limitation, uncertainty quantification considers the probability density functions of manufacturing errors. It is then possible to predict the overall variation of the jet engine performance using stochastic techniques. Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines demonstrates that some geometries are not affected by manufacturing errors, meaning that it is possible to design safer engines. Instead of trying to improve the manufacturing accuracy, uncertainty quantification when applied to CFD is able to indicate an improved design direction. This book will be of interest to gas turbine manufacturers and designers as well as CFD practitioners, specialists and researchers. Graduate and final year undergraduate students may also find it of use.
SWB-Titel-Idn	427135621
Signatur	Springer E-Book
Bemerkungen	Elektronischer Volltext - Campuslizenz
Elektronische Adresse	$uhttp://dx.doi.org/10.1007/978-3-319-14681-2
Internetseite / Link	Volltext
Siehe auch	Volltext
Siehe auch	Cover

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