POLIMI-DC4: Advanced Air Mobility, eVTOL aircraft, certification by simulation, airspace risk analysis, environmental sustainability

Project 1: Certification by simulation for advanced air mobility

Advanced Air Mobility (AAM) is referred to a set of vehicles that provide air transport services in a metropolitan area using powered-electric vertical take-off and landing (eVTOL) aircraft. Several companies are developing eVTOLs to replace helicopters when the time is right. AAM offers opportunities for the cities of the future, but it presents several challenges. The project focuses on the development of eVTOL digital twin models to be used for vehicle certification, able to evaluate mobility schemes, emergency procedures, together with handling qualities and pilot’s workload. The aeroelastic behaviour of these aircraft will be considered as well, to highlight potential aeromechanical instabilities, and to provide a robust tool including aeroelastic certification of the eVTOL critical parts. 

Supervisors: Dr. Annie Liang (RMIT) and Dr. Vincenzo Muscarello (RMIT) and  Prof. Giuseppe Quaranta (POLIMI) and Michele Sesana (TXT e-Solutions)

 

Project 2: Airspace risk analysis and evaluation for advanced air mobility with eVTOL aircraft

The project focuses on airspace risk analysis and evaluation for advanced air mobility with eVTOL aircraft. Safety is paramount in aviation operation. Emerging aviation operations with eVTOL in low altitude airspace bring challenges to airspace risk management. Complexed operational environment and new avionics technologies on board require a new safety risk analysis and evaluation methodology, which may totally be different from traditional commercial aircraft in high altitude airspace.

Supervisors: Dr. Annie Liang (RMIT) and Dr. Vincenzo Muscarello (RMIT) and  Prof. Giuseppe Quaranta (POLIMI) and Michele Sesana (TXT e-Solutions)

 

Project 3: eVTOL aircraft pilot abnormal behaviour identification and prediction with wearable sensors

The project focuses on identify the abnormal behaviours of eVTOL aircraft pilot during the flight missions. Pilots play an important role in future advanced air mobility. Complexed and dense operational environment around hot spot areas may cause eVTOL aircraft pilots’ fatigue and then perform some abnormal behaviours, which bring dangers to the safe operation. By using wearable sensors, we could monitor the signal from pilots and help identify and predict those abnormal behaviour, to mitigation the risks. The research experiments will conduct via flight simulator other than real flight activities. Numerical data collection and machine learning algorithm will be applied to generate real-time warnings if necessary.

Supervisors: Dr. Annie Liang (RMIT) and Dr. Vincenzo Muscarello (RMIT) and  Prof. Giuseppe Quaranta (POLIMI) and Michele Sesana (TXT e-Solutions)

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Reference

POLIMI-DC4

Research Areas

Aerospace engineering and aviation, digital twin models, safety and risk assessment, machine learning, structural dynamics and aeroelasticity

Research Host

Politecnico di Milano (POLIMI)

PhD awarding institution/s

Politecnico di Milano (POLIMI) and RMIT University

Location

Italy

Status

Open Position

RMIT University

Other Positions

Supervisors

Associate Prof. Andrey Molotnikov (RMIT), Professor Dr.-Ing. Thomas Niendorf (UoK), Philipp Krooss (UoK) and Dr. Markus Weinmann (UoK)

PhD awarding institution/s

University of Kassel (UoK) and RMIT University

Location

Germany

Status

Open Position

Supervisors

Prof. Jenny Zhang (RMIT) and Prof. Jose Antonio Vilar-Fernandez (UDC) and José Luis González Leal (Navantia) and Prof. Amparo Alonso-Betanzos (UDC) and Prof. Vicente Díaz-Casas (UDC) and Prof. Marcos Miguez González (UDC)

PhD awarding institution/s

University of A Coruña (UDC) and RMIT University

Location

Spain

Status

Open Position

Supervisors

Prof. Anne-Laure Mention (RMIT) and Associate Prof. Carsten Nico Hjortso (UPCH) and Dr. Marie Smed (UPCH)

PhD awarding institution/s

University of Copenhagen (UCPH) and RMIT University

Location

Denmark

Status

Open Position

RMIT and many of the REDI partners are HSR4R certified
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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101034328.

Results reflect the author’s view only. The European Commission is not responsible for any use that may be made of the information it contains