Towards Universal Parameterization: Using Variational Autoencoders to Parameterize Airfoils

A design can only be as good as its mathematical representation. In engineering design optimization, the chosen method of parameterization can have significant impact on the outcomes. This paper introduces a novel methodology for airfoil design parameterization utilizing variational autoencoders (VAEs), a class of neural networks known for their...

Optimal Energy Management Strategies and Mission Profiles for a generic Hybrid Aircraft

The present paper shows the main characteristic of a numerical simulation tool, developed in the framework of the European H2020 project MAHEPA, to estimate optimal flight performance of a generic aircraft featuring a Hybrid powertrain. The purpose of the study is to determine optimal flight trajectories together with optimal power controls when...