Uncertainty propagation and management of mixed uncertainties for multi-fidelity multi-disciplinary analysis of propeller with different blade sweep

dc.contributor.authorShubham, Shubham
dc.contributor.authorKipouros, Timoleon
dc.contributor.authorDash, Siddhant
dc.contributor.authorIanakiev, Anton
dc.date.accessioned2024-06-03T13:30:23Z
dc.date.available2024-06-03T13:30:23Z
dc.date.issued2024-01-04
dc.description.abstractA study on the uncertainty quantification and propagation in a multi-fidelity, multi-disciplinary framework, focusing on aerodynamics, aeroacoustics, and aeroelasticity in propeller blade design is presented. Employing the Lattice Boltzmann Method (LBM) for high-fidelity simulations and the Lifting Line Free Vortex Wake (LLFVW) and Finite Element Analyses (FEA) for mid-fidelity simulations, the study analyzes a 2-bladed, 0.3m diameter propeller using NACA4412 airfoil cross-section, across nine blade sweep configurations. It investigates the effects of two uncertain parameters: freestream velocity, using Interval analysis, and blade tip offset, using Monte Carlo Simulation. The differential analysis between mid and high-fidelity methods shows an uncertainty range of 13.83% to 30.32% for freestream velocity and 2% to 32.48% for blade tip offset, due to the inclusion of the mid-fidelity method. Using the Halton sampling method, it is demonstrated that the uncertainty in the sweep parameter is propagated differently across various performance metrics of the propeller. A backward sweep tends to increase both the mean (by 5-6 %) and uncertainty (by 2-4 %) in all performance parameters, suggesting a potential enhancement in performance but with increased risk. In contrast, a forward sweep reduces mean performance (by 2-3 %) and uncertainty (by 4-6 %) of all parameters except structural deflection, which shows an increasing trend (by 0.5-2 %). This indicates a more reliable aerodynamic and aeroacoustic performance but potentially less efficient operation and increased risk in structural integrity.en_UK
dc.description.sponsorshipThis project has received funding from Innovate UK under Grant Agreement No 10003388en_UK
dc.identifier.citationShubham S, Kipouros T, Dash S, Ianakiev A. (2024) Uncertainty propagation and management of mixed uncertainties for multi-fidelity multi-disciplinary analysis of propeller with different blade sweep. In: AIAA SCITECH 2024 Forum, 8-12 January 2024, Orlando, USA, Paper number AIAA 2024-1487en_UK
dc.identifier.isbn978-1-62410-711-5
dc.identifier.urihttps://doi.org/10.2514/6.2024-1487
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/21819
dc.language.isoen_UKen_UK
dc.publisherAIAAen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectVariable Pitch Propellersen_UK
dc.subjectAerodynamic Simulationen_UK
dc.subjectLattice Boltzmann Methodsen_UK
dc.subjectUncertainty Quantificationen_UK
dc.subjectVortex Structureen_UK
dc.subjectOverall Sound Pressure Levelen_UK
dc.subjectFinite Element Analysisen_UK
dc.subjectAeroelasticityen_UK
dc.subjectMonte Carlo Simulationen_UK
dc.subjectTransonic Airfoilen_UK
dc.titleUncertainty propagation and management of mixed uncertainties for multi-fidelity multi-disciplinary analysis of propeller with different blade sweepen_UK
dc.typeConference paperen_UK

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