Image of Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines
Bookmark Share

Text

Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines

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.

Availability

No copy data

Detail Information
Series Title
-
Call Number
-
Publisher
The Author : Springer Cham.,
Collation
-
Language
English
ISBN/ISSN
978-3-319-14681-2
Classification
NONE
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
Aerospace Technology and Astronautics
Engineering Fluid Dynamics
Engine Technology
Fluid- and Aerodynamics
Safety and Risk
Quality Control
Specific Detail Info
-
Statement of Responsibility
Other Information
Cataloger
Yudi
Source
-
Validator
-
Digital Object Identifier (DOI)
-
Journal Volume
-
Journal Issue
-
Subtitle
-
Parallel Title
-
Other version/related

No other version available

File Attachment
Comments
You must be logged in to post a comment