All Outputs (3)

Improving the efficiency of unmanned aerial systems through wing morphing: a case study for the Hydra Technologies S4 Éhecatl UAS (2021)
Presentation / Conference
Sugar-Gabor, O. (2021, December). Improving the efficiency of unmanned aerial systems through wing morphing: a case study for the Hydra Technologies S4 Éhecatl UAS. Presented at International Symposium on Electric Aircraft and Autonomous Systems, Eskisehir University, Eskisehir, Turkey

Reduced-order modelling of parameterised incompressible and compressible unsteady flow problems using deep neural networks (2021)
Journal Article
Sugar-Gabor, O. (2021). Reduced-order modelling of parameterised incompressible and compressible unsteady flow problems using deep neural networks. International Journal of Computer Applications in Technology, 66(1), 36-50. https://doi.org/10.1504/IJCAT.2021.119603

A non-intrusive reduced-order model for nonlinear parametric flow
problems is developed. It is based on extracting a reduced-order basis from
full-order snapshots via proper orthogonal decomposition and using both deep
and shallow neural network a... Read More about Reduced-order modelling of parameterised incompressible and compressible unsteady flow problems using deep neural networks.

Recent developments in quasi-3D aerodynamic methods for multidisciplinary aircraft conceptual design studies (2021)
Book Chapter
Sugar-Gabor, O., & Koreanschi, A. (2021). Recent developments in quasi-3D aerodynamic methods for multidisciplinary aircraft conceptual design studies. In M. Moatamedi, T. Rahulan, & M. Souli (Eds.), Multiphysics Simulations in Automotive and Aerospace Applications (155-186). Elsevier