Tesi etd-11022023-151506 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
MANCINI, IGOR
URN
etd-11022023-151506
Titolo
Numerical Investigation on Aerodynamic Drag Reduction through Ducts in a BEV
Dipartimento
INGEGNERIA CIVILE E INDUSTRIALE
Corso di studi
INGEGNERIA AEROSPAZIALE
Relatori
relatore Prof. Lombardi, Giovanni
relatore Ing. Maganzi, Marco
relatore Ing. Fedeli, Roberto
relatore Ing. Maganzi, Marco
relatore Ing. Fedeli, Roberto
Parole chiave
- vehicle
- ducts
- drag
- aerodynamic
- cfd
- automotive
- bev
Data inizio appello
21/11/2023
Consultabilità
Non consultabile
Data di rilascio
21/11/2093
Riassunto
The primary objective of this project is to leverage the distinct morphological differences between Internal Combustion Engine Vehicles (ICEVs) and Battery Electric Vehicles (BEVs) designs to accommodate specific ducts. These ducts are meticulously engineered with the purpose of mitigating aerodynamic drag, thereby enhancing the vehicle's effective range.
The project is a collaborative effort between Aston Martin Lagonda, a renowned British automotive company, the University of Pisa, and the Fluid Dynamics Division of CUBIT. CUBIT has contributed with both human and computational resources to this thesis.
Starting with the vehicle geometry provided by Aston Martin Lagonda, this work showcases the design and simulation of the aforementioned ducted configuration using software tools such as BetaCAE Ansa®, Simcenter STAR CCM+®, and Dassault Systèmes CATIA V5®. The ultimate goal is to prepare the groundwork for future optimization.
The simulations were conducted using the Reynolds-Averaged Navier-Stokes (RANS) methodology, chosen for its computational efficiency. The turbulence model employed is the Realizable k-ε Two-layer model, which strikes a balance between accuracy, computational resource requirements, and simulation time.
Furthermore, since this work is laying the foundation for a future optimization phase, the simulations exclusively considered steady-state conditions to further minimize computational expenses. To accommodate the rotation of the wheels, Moving Reference Frames were incorporated into the simulations.
The study encompassed an analysis of four distinct ducted configurations, ultimately selecting only two for future optimization based on the findings. As part of the groundwork for this optimization, a mesh sensitivity study was undertaken to determine the grid that will be employed in the upcoming optimization phase.
In the final part of the study, a simulation was performed considering only half of the vehicle, with a symmetry plane aligned with the longitudinal axis. This approach was adopted to reduce computational complexity while maintaining the accuracy of the analysis.
Lastly, the conclusion of this study includes an initial parametrization of one of the two ducts intended for use in the upcoming optimization phase.
The project is a collaborative effort between Aston Martin Lagonda, a renowned British automotive company, the University of Pisa, and the Fluid Dynamics Division of CUBIT. CUBIT has contributed with both human and computational resources to this thesis.
Starting with the vehicle geometry provided by Aston Martin Lagonda, this work showcases the design and simulation of the aforementioned ducted configuration using software tools such as BetaCAE Ansa®, Simcenter STAR CCM+®, and Dassault Systèmes CATIA V5®. The ultimate goal is to prepare the groundwork for future optimization.
The simulations were conducted using the Reynolds-Averaged Navier-Stokes (RANS) methodology, chosen for its computational efficiency. The turbulence model employed is the Realizable k-ε Two-layer model, which strikes a balance between accuracy, computational resource requirements, and simulation time.
Furthermore, since this work is laying the foundation for a future optimization phase, the simulations exclusively considered steady-state conditions to further minimize computational expenses. To accommodate the rotation of the wheels, Moving Reference Frames were incorporated into the simulations.
The study encompassed an analysis of four distinct ducted configurations, ultimately selecting only two for future optimization based on the findings. As part of the groundwork for this optimization, a mesh sensitivity study was undertaken to determine the grid that will be employed in the upcoming optimization phase.
In the final part of the study, a simulation was performed considering only half of the vehicle, with a symmetry plane aligned with the longitudinal axis. This approach was adopted to reduce computational complexity while maintaining the accuracy of the analysis.
Lastly, the conclusion of this study includes an initial parametrization of one of the two ducts intended for use in the upcoming optimization phase.
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