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 difficult...

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Những tác giả chính:	Montomoli, F, Carnevale, M, D'Ammaro, A, Massini, M, Salvadori, S
Định dạng:	Sách
Ngôn ngữ:	English
Được phát hành:	Springer 2016
Những chủ đề:	Uncertainty Computational fluid dynamics Design and construction Motors Airplanes
Truy cập trực tuyến:	https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/59758
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spelling	oai:scholar.dlu.edu.vn:DLU123456789-597582023-11-11T06:51:11Z Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines Montomoli, F Carnevale, M D'Ammaro, A Massini, M Salvadori, S Uncertainty Computational fluid dynamics Design and construction Motors Airplanes 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. 2016-03-04T01:27:45Z 2016-03-04T01:27:45Z 2015 Book 978-3-319-14681-2 978-3-319-14680-5 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/59758 en application/pdf Springer
institution	Thư viện Trường Đại học Đà Lạt
collection	Thư viện số
language	English
topic	Uncertainty Computational fluid dynamics Design and construction Motors Airplanes
spellingShingle	Uncertainty Computational fluid dynamics Design and construction Motors Airplanes Montomoli, F Carnevale, M D'Ammaro, A Massini, M Salvadori, S Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines
description	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.
format	Book
author	Montomoli, F Carnevale, M D'Ammaro, A Massini, M Salvadori, S
author_facet	Montomoli, F Carnevale, M D'Ammaro, A Massini, M Salvadori, S
author_sort	Montomoli, F
title	Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines
title_short	Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines
title_full	Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines
title_fullStr	Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines
title_full_unstemmed	Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines
title_sort	uncertainty quantification in computational fluid dynamics and aircraft engines
publisher	Springer
publishDate	2016
url	https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/59758
_version_	1782537800304820224

Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines

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