000725737 000__ 03983cam\a2200529Ii\4500
000725737 001__ 725737
000725737 005__ 20230306140655.0
000725737 006__ m\\\\\o\\d\\\\\\\\
000725737 007__ cr\cn\nnnunnun
000725737 008__ 150223s2015\\\\gw\\\\\\ob\\\\001\0\eng\d
000725737 019__ $$a908042287
000725737 020__ $$a9783319146812$$qelectronic book
000725737 020__ $$a3319146815$$qelectronic book
000725737 020__ $$z9783319146805
000725737 0247_ $$a10.1007/978-3-319-14681-2$$2doi
000725737 035__ $$aSP(OCoLC)ocn903899808
000725737 035__ $$aSP(OCoLC)903899808$$z(OCoLC)908042287
000725737 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dN$T$$dGW5XE$$dDKU$$dUPM$$dIDEBK$$dCOO$$dCDX$$dOCLCF$$dE7B$$dYDXCP$$dDEBSZ$$dORE
000725737 049__ $$aISEA
000725737 050_4 $$aTL701$$b.M66 2015eb
000725737 08204 $$a629.13435$$223
000725737 1001_ $$aMontomoli, Francesco,$$eauthor.
000725737 24510 $$aUncertainty quantification in computational fluid dynamics and aircraft engines$$h[electronic resource] /$$cFrancesco Montomoli, Mauro Carnevale, Antonio D'Ammaro, Michela Massini, Simone Salvadori.
000725737 264_1 $$aCham :$$bSpringer,$$c[2015]
000725737 264_4 $$c©2015
000725737 300__ $$a1 online resource (xiii, 90 pages).
000725737 336__ $$atext$$btxt$$2rdacontent
000725737 337__ $$acomputer$$bc$$2rdamedia
000725737 338__ $$aonline resource$$bcr$$2rdacarrier
000725737 4901_ $$aSpringer briefs in applied sciences and technology
000725737 504__ $$aIncludes bibliographical references and index.
000725737 5050_ $$aManufacturing in Service Uncertainty and Impact on Life and Performance -- Limitations in Turbomachinery CFD -- Uncertainty Quantification Applied to Gas Turbine Components -- Overview of Uncertainty Quantification Methods -- Future Developments.
000725737 506__ $$aAccess limited to authorized users.
000725737 520__ $$aThis book introduces novel design techniques developed to increase the safety of aircraft engines. The authors demonstrate how the application of uncertainty methods can overcome problems in the accurate prediction of engine lift, caused by manufacturing error. This in turn ameliorates the difficulty of achieving required safety margins imposed by limits in current design and manufacturing methods. This text shows that even state-of-the-art computational fluid dynamics (CFD) are not able to predict the same performance measured in experiments; CFD methods assume idealised geometries but ideal geometries do not exist, cannot be manufactured and their performance differs from real-world ones. By applying geometrical variations of a few microns, the agreement with experiments improves dramatically, but unfortunately the manufacturing errors in engines or in experiments are unknown. In order to overcome this limitation, uncertainty quantification considers the probability density functions of manufacturing errors. It is then possible to predict the overall variation of the jet engine performance using stochastic techniques. Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines demonstrates that some geometries are not affected by manufacturing errors, meaning that it is possible to design safer engines. Instead of trying to improve the manufacturing accuracy, uncertainty quantification when applied to CFD is able to indicate an improved design direction. This book will be of interest to℗ℓ gas turbine manufacturers and designers as well as CFD practitioners, specialists and researchers. Graduate and final year undergraduate students may also find it of use.
000725737 650_0 $$aAirplanes$$xMotors$$xDesign and construction.
000725737 650_0 $$aComputational fluid dynamics.
000725737 650_0 $$aUncertainty (Information theory)
000725737 7001_ $$aCarnevale, Mauro,$$eauthor.
000725737 7001_ $$aD'Ammaro, Antonio,$$eauthor.
000725737 7001_ $$aMassini, Michela,$$eauthor.
000725737 7001_ $$aSalvadori, Simone,$$eauthor.
000725737 77608 $$iPrint version:$$z9783319146805
000725737 830_0 $$aSpringerBriefs in applied sciences and technology.
000725737 852__ $$bebk
000725737 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-14681-2$$zOnline Access$$91397441.1
000725737 909CO $$ooai:library.usi.edu:725737$$pGLOBAL_SET
000725737 980__ $$aEBOOK
000725737 980__ $$aBIB
000725737 982__ $$aEbook
000725737 983__ $$aOnline
000725737 994__ $$a92$$bISE