The focus of this Ph.D. thesis is to develop an automatic procedure for the aerodynamic optimization of centrifugal compressors. This procedure is based on Artificial Neural Networks which use numerical results coming from CFD computations performed on a set of different geometries, generated from the starting configuration, to find optimum geometries.
Artificial Intelligence Based Aerodynamic Optimization of Centrifugal Compressors / Andrea Agnolucci. - (2022).
Artificial Intelligence Based Aerodynamic Optimization of Centrifugal Compressors
Andrea Agnolucci
2022
Abstract
The focus of this Ph.D. thesis is to develop an automatic procedure for the aerodynamic optimization of centrifugal compressors. This procedure is based on Artificial Neural Networks which use numerical results coming from CFD computations performed on a set of different geometries, generated from the starting configuration, to find optimum geometries.File in questo prodotto:
File | Dimensione | Formato | |
---|---|---|---|
PhD_Thesis_Andrea_Agnolucci.pdf
embargo fino al 15/04/2025
Descrizione: Tesi di Dottorato
Tipologia:
Pdf editoriale (Version of record)
Licenza:
Tutti i diritti riservati
Dimensione
11.47 MB
Formato
Adobe PDF
|
11.47 MB | Adobe PDF | Richiedi una copia |
I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.