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Titlebook: Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines; Francesco Montomoli,Mauro Carnevale,Simone Salvado Book 2

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發(fā)表于 2025-3-21 20:08:41 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines
編輯Francesco Montomoli,Mauro Carnevale,Simone Salvado
視頻videohttp://file.papertrans.cn/942/941104/941104.mp4
概述Provides a view of a traditionally mathematical topics from an engineering perspective.Examples are included to demonstrate the principles described.Shows the reader how to quantify the possibility of
叢書名稱SpringerBriefs in Applied Sciences and Technology
圖書封面Titlebook: Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines;  Francesco Montomoli,Mauro Carnevale,Simone Salvado Book 2
描述.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
出版日期Book 20151st edition
關鍵詞Aircraft Engines; Computational Fluid Dynamics; Gas Turbines; Manufacturing Errors; Stochastic Methods; f
版次1
doihttps://doi.org/10.1007/978-3-319-14681-2
isbn_ebook978-3-319-14681-2Series ISSN 2191-530X Series E-ISSN 2191-5318
issn_series 2191-530X
copyrightThe Author(s) 2015
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 23:02:58 | 只看該作者
Limitations in Turbomachinery CFD,ng impact on the prediction of local values of important parameters such as flow temperature and heat transfer. It is worth highlighting that the available computational resources are pushing towards the so called high fidelity CFD and it is important to highlight what is needed to achieve this goal and to reduce the impact of approximations.
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發(fā)表于 2025-3-22 07:21:30 | 只看該作者
Uncertainty Quantification Applied to Gas Turbine Components,nsumption and the numerical uncertainty introduced by the CFD modelling itself. This chapter will show how Uncertainty Quantification techniques are used nowadays in CFD to study the impact of such manufacturing errors, pointing out, for each component, what has been learned and/or discovered using
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發(fā)表于 2025-3-22 10:39:13 | 只看該作者
Book 20151st editionertainty 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 com
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發(fā)表于 2025-3-23 03:55:48 | 只看該作者
Francesco Montomoli,Mauro Carnevale,Antonio D’Ammaro,Michela Massini,Simone Salvadori
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發(fā)表于 2025-3-23 05:46:48 | 只看該作者
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