The Resource Uncertainty quantification in computational fluid dynamics and aircraft engines, Francesco Montomoli, Mauro Carnevale, Antonio D'Ammaro, Michela Massini, Simone Salvadori

Uncertainty quantification in computational fluid dynamics and aircraft engines, Francesco Montomoli, Mauro Carnevale, Antonio D'Ammaro, Michela Massini, Simone Salvadori

Label
Uncertainty quantification in computational fluid dynamics and aircraft engines
Title
Uncertainty quantification in computational fluid dynamics and aircraft engines
Statement of responsibility
Francesco Montomoli, Mauro Carnevale, Antonio D'Ammaro, Michela Massini, Simone Salvadori
Creator
Contributor
Author
Subject
Genre
Language
eng
Summary
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℗l 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
Member of
Cataloging source
N$T
http://library.link/vocab/creatorName
Montomoli, Francesco
Dewey number
629.13435
Index
index present
LC call number
TL701
LC item number
.M66 2015eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Carnevale, Mauro
  • D'Ammaro, Antonio
  • Massini, Michela
  • Salvadori, Simone
Series statement
Springer briefs in applied sciences and technology
http://library.link/vocab/subjectName
  • Airplanes
  • Computational fluid dynamics
  • Uncertainty (Information theory)
  • TECHNOLOGY & ENGINEERING
  • Airplanes
  • Computational fluid dynamics
  • Uncertainty (Information theory)
  • Engineering
  • Aerospace Technology and Astronautics
  • Engineering Fluid Dynamics
  • Fluid- and Aerodynamics
  • Engine Technology
  • Quality Control, Reliability, Safety and Risk
  • Mechanics of fluids
  • Fluid mechanics
  • Engines & power transmission
  • Reliability engineering
  • Aerospace & aviation technology
Label
Uncertainty quantification in computational fluid dynamics and aircraft engines, Francesco Montomoli, Mauro Carnevale, Antonio D'Ammaro, Michela Massini, Simone Salvadori
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-14681-2
Instantiates
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Extent
1 online resource (xiii, 90 pages).
File format
unknown
Form of item
online
Isbn
9783319146805
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-14681-2
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)903899808
  • (OCoLC)ocn903899808
Label
Uncertainty quantification in computational fluid dynamics and aircraft engines, Francesco Montomoli, Mauro Carnevale, Antonio D'Ammaro, Michela Massini, Simone Salvadori
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-14681-2
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Extent
1 online resource (xiii, 90 pages).
File format
unknown
Form of item
online
Isbn
9783319146805
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-14681-2
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)903899808
  • (OCoLC)ocn903899808

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