Low-Dimensional Models for Aerofoil Icing Predictions
Determining the aero-icing characteristics is key for safety assurance in aviation, but it may be a computationally expensive task. This work presents a framework for the development of low-dimensional models for application to aerofoil icing. The framework builds on: an adaptive sampling strategy t...
Main Authors: | David Massegur, Declan Clifford, Andrea Da Ronch, Riccardo Lombardi, Marco Panzeri |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-05-01
|
Series: | Aerospace |
Subjects: | |
Online Access: | https://www.mdpi.com/2226-4310/10/5/444 |
Similar Items
-
Design-Assisted of Pitching Aerofoils through Enhanced Identification of Coherent Flow Structures
by: Filippo Avanzi, et al.
Published: (2021-02-01) -
Numerical Investigation of Stall Characteristics of Common Research Model Configuration Based on Zonal Detached Eddy Simulation Method
by: Xin Zhang, et al.
Published: (2023-09-01) -
Graph convolutional multi-mesh autoencoder for steady transonic aircraft aerodynamics
by: David Massegur, et al.
Published: (2024-01-01) -
Numerical Investigation of the Aerofoil Aerodynamics with Surface Heating for Anti-Icing
by: Bowen Li, et al.
Published: (2022-06-01) -
Identification and Modeling Method of Longitudinal Stall Aerodynamic Parameters of Civil Aircraft Based on Improved Kirchhoff Stall Aerodynamic Model
by: Lixin Wang, et al.
Published: (2023-03-01)