A Multi-Objective shape Optimization analysis was applied to a civil S-duct intake, for reducing total pressure losses and flow distortions.NSGA-II genetic algorithm was implemented in the optimization loop to manage the design vector and improved duct performances. New geometry configurations were investigated and the results were compared to those of a prior project. The analysis gave an enhancement of 19% for pressure recovery coefficient and a reduction of 13% for swirl distortion.
A Multi-objective shape optimization of an S-Duct intake through NSGA-II genetic algorithm
Rigobello, Aurora
2016/2017
Abstract
A Multi-Objective shape Optimization analysis was applied to a civil S-duct intake, for reducing total pressure losses and flow distortions.NSGA-II genetic algorithm was implemented in the optimization loop to manage the design vector and improved duct performances. New geometry configurations were investigated and the results were compared to those of a prior project. The analysis gave an enhancement of 19% for pressure recovery coefficient and a reduction of 13% for swirl distortion.File in questo prodotto:
File | Dimensione | Formato | |
---|---|---|---|
Rigobello_Aurora_tesi.pdf
accesso aperto
Dimensione
4.79 MB
Formato
Adobe PDF
|
4.79 MB | Adobe PDF | Visualizza/Apri |
The text of this website © Università degli studi di Padova. Full Text are published under a non-exclusive license. Metadata are under a CC0 License
Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.12608/24630