國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Uncertainty quantification in comput...

Montomoli, Francesco.

Uncertainty quantification in computational fluid dynamics and aircraft engines

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Uncertainty quantification in computational fluid dynamics and aircraft enginesby Francesco Montomoli ... [et al.].
其他作者:	Montomoli, Francesco.
出版者:	Cham :Springer International Publishing :2015.
面頁冊數:	xiii, 90 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	AirplanesMotors
電子資源:	http://dx.doi.org/10.1007/978-3-319-14681-2
ISBN:	9783319146812 (electronic bk.)

Uncertainty quantification in computational fluid dynamics and aircraft engines
Uncertainty quantification in computational fluid dynamics and aircraft engines[electronic resource] /by Francesco Montomoli ... [et al.]. - Cham :Springer International Publishing :2015. - xiii, 90 p. :ill., digital ;24 cm. - Springer briefs in applied sciences and technology,2191-530X. - Springer briefs in applied sciences and technology..

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.

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.

ISBN: 9783319146812 (electronic bk.)

Standard No.: 10.1007/978-3-319-14681-2doiSubjects--Topical Terms:

714220
Airplanes
--Motors

LC Class. No.: TL701

Dewey Class. No.: 629.13435

Uncertainty quantification in computational fluid dynamics and aircraft engines
LDR:03017nmm a2200337 a 4500 001 461833
003 DE-He213
005 20150918120156.0
006 m d
007 cr nn 008maaau
008 151110s2015 gw s 0 eng d
020 $a 9783319146812 (electronic bk.)
020 $a 9783319146805 (paper)
024 7 $a 10.1007/978-3-319-14681-2 $2 doi
035 $a 978-3-319-14681-2
040 $a GP $c GP
041 0 $a eng
050 4 $a TL701
072 7 $a TRP $2 bicssc
072 7 $a TTDS $2 bicssc
072 7 $a TEC002000 $2 bisacsh
082 0 4 $a 629.13435 $2 23
090 $a TL701 $b .U54 2015
245 0 0 $a Uncertainty quantification in computational fluid dynamics and aircraft engines $h [electronic resource] / $c by Francesco Montomoli ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xiii, 90 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer briefs in applied sciences and technology, $x 2191-530X
505 0 $a 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.
520 $a 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.
650 0 $a Airplanes $x Motors $x Design and construction. $3 714220
650 0 $a Computational fluid dynamics. $3 376217
650 0 $a Uncertainty (Information theory) $3 206405
650 1 4 $a Engineering. $3 210888
650 2 4 $a Aerospace Technology and Astronautics. $3 309707
650 2 4 $a Engineering Fluid Dynamics. $3 273893
650 2 4 $a Fluid- and Aerodynamics. $3 376797
650 2 4 $a Engine Technology. $3 601259
650 2 4 $a Quality Control, Reliability, Safety and Risk. $3 274011
700 1 $a Montomoli, Francesco. $3 714218
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Springer briefs in applied sciences and technology. $3 714219
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-14681-2
950 $a Engineering (Springer-11647)