Uncertainty propagation and management of mixed uncertainties for multi-fidelity multi-disciplinary analysis of propeller with different blade sweep
| dc.contributor.author | Shubham, Shubham | |
| dc.contributor.author | Kipouros, Timoleon | |
| dc.contributor.author | Dash, Siddhant | |
| dc.contributor.author | Ianakiev, Anton | |
| dc.date.accessioned | 2024-06-03T13:30:23Z | |
| dc.date.available | 2024-06-03T13:30:23Z | |
| dc.date.issued | 2024-01-04 | |
| dc.description.abstract | A 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.sponsorship | This project has received funding from Innovate UK under Grant Agreement No 10003388 | en_UK |
| dc.identifier.citation | Shubham 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 2024-1487 | en_UK |
| dc.identifier.isbn | 978-1-62410-711-5 | |
| dc.identifier.uri | https://doi.org/10.2514/6.2024-1487 | |
| dc.identifier.uri | https://dspace.lib.cranfield.ac.uk/handle/1826/21819 | |
| dc.language.iso | en_UK | en_UK |
| dc.publisher | AIAA | en_UK |
| dc.rights | Attribution 4.0 International | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
| dc.subject | Variable Pitch Propellers | en_UK |
| dc.subject | Aerodynamic Simulation | en_UK |
| dc.subject | Lattice Boltzmann Methods | en_UK |
| dc.subject | Uncertainty Quantification | en_UK |
| dc.subject | Vortex Structure | en_UK |
| dc.subject | Overall Sound Pressure Level | en_UK |
| dc.subject | Finite Element Analysis | en_UK |
| dc.subject | Aeroelasticity | en_UK |
| dc.subject | Monte Carlo Simulation | en_UK |
| dc.subject | Transonic Airfoil | en_UK |
| dc.title | Uncertainty propagation and management of mixed uncertainties for multi-fidelity multi-disciplinary analysis of propeller with different blade sweep | en_UK |
| dc.type | Conference paper | en_UK |
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