02314nam1 22004333i 450 MIL034814020231121125545.0205100443920120919e19821891||||0itac50 bafrechz01i xxxe z01nDictionnaire de l'ancienne langue française et de tous ses dialectes du 9. au 15. siècle ...ReimprGenèveParisSlatkine198210 v.31 cmRist. anastatica dell'ed.: Paris, 1891-1902.001MIL03488342000 2: CAS.-D.Frederic Godefroy2001MIL03488372000 3: E.-FILDRONFrederic Godefroy3001MIL03488452000 4: FILE-LISTAGEFrederic Godefroy4001MIL03488472000 5: LISTE-PARS.Frederic Godefroy5001MIL03488482000 6: PARS.-REMEM.Frederic Godefroy6001MIL03488532000 7: REMEM.-TRAIOFrederic Godefroy7001MIL03488622000 8: TRAIR.-ZYG, Complement A.-CARR.Frederic Godefroy8001MIL03488642000 9: Complement CARR.-INACO.Frederic Godefroy9001MIL03488662000 10: Complement INACO.-ZOO.Frederic Godefroy10001MIL03490632000 1: A.-CAS.Frederic Gedefroy1Lingua francese anticaDizionariFIRRMLC077331I447.01Antico francese. Origini-140022Godefroy, FrédéricRAVV083471070386811ITIT-0120120919IT-FR0017 Biblioteca umanistica Giorgio ApreaFR0017 MIL0348140Biblioteca umanistica Giorgio Aprea 52S.L. 447.01 DALF.Sla.1 V. 1 52S.L. 447.01 DALF.Sla.2 V. 2 52S.L. 447.01 DALF.Sla.3 V. 3 52S.L. 447.01 DALF.Sla.4 V. 4 52S.L. 447.01 DALF.Sla.5 V. 5 52S.L. 447.01 DALF.Sla.6 V. 6 52S.L. 447.01 DALF.Sla.7 V. 7 52S.L. 447.01 DALF.Sla.8 V. 8 52S.L. 447.01 DALF.Sla.9 V. 9 52S.L. 447.01 DALF.Sla.10 V. 10 52Dictionnaire de l'ancienne langue française et de tous ses dialectes du 9. au 15. siècle941520UNICAS04004nam 2201081z- 450 991055730870332120220111(CKB)5400000000042769(oapen)https://directory.doabooks.org/handle/20.500.12854/76378(oapen)doab76378(EXLCZ)99540000000004276920202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierMathematical Modelling of Energy Systems and Fluid MachineryBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (256 p.)3-0365-0550-4 3-0365-0551-2 The ongoing digitalization of the energy sector, which will make a large amount of data available, should not be viewed as a passive ICT application for energy technology or a threat to thermodynamics and fluid dynamics, in the light of the competition triggered by data mining and machine learning techniques. These new technologies must be posed on solid bases for the representation of energy systems and fluid machinery. Therefore, mathematical modelling is still relevant and its importance cannot be underestimated. The aim of this Special Issue was to collect contributions about mathematical modelling of energy systems and fluid machinery in order to build and consolidate the base of this knowledge.Technology: general issuesbicsscanti-cavity finsapproximation modelartificial neural network (ANN)axial-flow pumpblade slotcapacitycentrifugal pumpCFDCFD analysisCFD-DEM coupling methodcoefficient of performancecomputational fluid dynamics (CFD)critical wall roughnessdeep ensembledeep neural network (DNN)design considerationsDOEdouble hidden layerdouble-channel sewage pumpdraft tubedraft tube optimizationdynamic simulationenergy recoveryenergy systemsexternal characteristicsFrancis turbinefree surface flowfree surface vorticesheatingimpellerintake structuresinternal flow characteristicsKaplan turbineLevenberg-Marquardt algorithmlow flow ratesmagnetocaloric effectmathematical modellingmodelling techniquesMonte Carlo dropoutmulti-disciplinarynumerical calculationnumerical simulationoptimization designorthogonal testparticle features and behaviorsperformance predictionphysical hydraulic modelrefrigerationresponse surfacesingle-channel pumpsolid-liquid two-phase flowsstratificationsubcooled boiling flowsthermal energy storagethrottling valvesturboexpanderuncertainty quantification (UQ)unsteady pressurevertical pumpvortex ropeTechnology: general issuesMorini Mirkoedt1311331Pinelli MicheleedtMorini MirkoothPinelli MicheleothBOOK9910557308703321Mathematical Modelling of Energy Systems and Fluid Machinery3030255UNINA